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Free Download Autodesk Inventor by Alessandro Santos
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.99 GB | Duration: 7h 33m
2D Modeling, 3D Modeling, Assembly, Dimensional Tolerances, Bill of Material, Creation of sheets for production

What you'll learn
How it works and how to use the 2D environment tools
How it works and how to use the 3D environment tools
Practical drawing exercises
Perform component assembly
Create 2D sheets using 3D models
How it works and how to use all the tools in the Drawing environment
At the end of the course you will be able to carry out projects
Requirements
Knowledge of Mechanical Technical Drawing is required
Be able to read and interpret Technical Drawings
Have Autodesk Inventor installed on your Computer or Notebook
Have a desire to learn and grow personally and professionally
Description
Have you ever looked at a product (be it a car, a cell phone or even an interestingly shaped bottle of water) and wondered who created that design? Well, that's what an industrial designer does! They are responsible for creating technical drawings that must combine functionality, low cost and ease of use, in addition to, of course, pleasing the eye.In this course, you will learn how to model from the basics to the advanced level. The Autodesk Inventor Professional Development Course aims to develop skills related to modeling in project drawings and their modification, using typical tools in the area, aiming to change the characteristics of the product and improve its function, according to standards and technical specifications, considering principles of quality and productivity.Workload:7h36 minutes of continuous video lessons, which is equivalent to a 50-hour in-person courseObjectivesFile management and work methodology;Creation of 2D Sketches with geometric restrictions and dimensions in the project environment;Functions for creating and editing solids;Techniques and methodology for creating Work Planes, Work Axis and Work Points;Creation and editing of 2D views linked to the solid model;Creation of the standard format (Templates);Assembly configuration;Solid Modeling;Sketch Editing and Property Analysis;Volume, Mass, Center of Gravity, Moment of Inertia;Dimensioning Tools;Associative Material List;Balloons;Dimensional and Geometric TolerancesWant to learn a new profession, or even specialize in this innovative tool?Come learn everything in detail and without rushing!
Overview
Section 1: Undertanding 2D tools
Lecture 1 Starting a new Project
Lecture 2 Creating a Sketch
Lecture 3 Using modeling tools
Lecture 4 Fillet and Chamfer Function
Lecture 5 Dimension properties and selection tools
Lecture 6 Understanding arc commands and variations
Lecture 7 Understanding the Slot or Oblong tool and variations
Lecture 8 Modification Tools
Lecture 9 Creating Polygon, Spline and Rectangular Pattern
Lecture 10 Using Circular Pattern
Lecture 11 Construction Line and Mirror Command
Lecture 12 imension Types, Geometric Constraints and Text
Lecture 13 Centerline Command
Section 2: 3D modeling
Lecture 14 New Project, Zoom, Extend, Dimension, Chamfer, Fillet, Hole, Pattern
Lecture 15 Hole Types, Views
Lecture 16 Automatic thread profile
Lecture 17 Types of Revolve functions
Lecture 18 Shell Function
Lecture 19 Create Point, Axis, Plane, Geometric Projection, Sweep Function
Lecture 20 3D Mug Modeling Exercise
Lecture 21 Inserting Text in 3D Modeling
Lecture 22 Creating plans, Using the loft tool, Shell
Lecture 23 Offset. Rib Tool and Rectangular Pattern
Lecture 24 Modeling with the Coil tool
Lecture 25 Draft Command
Lecture 26 Split command (Trim in 3D) and quick solid creation tool
Lecture 27 Using the Move bodies tool
Lecture 28 Using the combine tool
Lecture 29 Creating Plans in 3D Modeling
Lecture 30 Rectangular and Singular Pattern in 3D Modeling
Lecture 31 3D Spring Modeling and Adding Properties to the Model
Section 3: Consolidation Exercises
Lecture 32 Support
Lecture 33 Grid
Lecture 34 lock
Lecture 35 Any object
Lecture 36 Hood
Lecture 37 Support
Lecture 38 Pulley
Lecture 39 Gutter
Lecture 40 Hex screw with real thread
Lecture 41 Radial ball bearing
Lecture 42 Bottle/Jar
Section 4: Assembly + Modeling of Parts
Lecture 43 Base Modeling
Lecture 44 Cursor Modeling
Lecture 45 Screw Modeling
Lecture 46 Mobile V Modeling
Lecture 47 Pin Modeling
Lecture 48 Parallel "V" Assembly
Section 5: 2D Sheet Creation Environment (Drawing)
Lecture 49 Sheet Creation Environment - Part 1
Lecture 50 Sheet Creation Environment - Part 2
Section 6: Extras
Lecture 51 Setting Up Autodesk Inventor
Engineering students, technicians and/or those interested in operating the software.
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Homepage

https://www.udemy.com/course/autodesk-inventor-y/

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Free Download Automate Social Media Posting Using Ai
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 227.56 MB | Duration: 0h 42m
Automate Social Media Posting with AI - AI Web Surfing & AI Content Generation, Process Automation, Scheduling AI

What you'll learn
Learn how to automate your social media using artificial intelligence
Learn how to surf web using Foundation AI Models (no-code)
Learn Robotic Process Automation (no-code)
Learn how to create an AI Assistant for your social media accounts (no-code)
Requirements
No programming experience needed.
You will learn everything that you need to know in this course.
No technical experience needed.
Description
"Automate Social Media Posting using Artificial Intelligence" is designed to empower non-technical/business professionals to streamline social media management. In this course, you'll learn to build a system that creates and posts content automatically using AI tools-no coding required!The course is divided into five core segments:1. Data Link - Collect and organize relevant information (e.g., news articles).2. AI Web Surfing - Leverage AI to summarize web content.3. AI Content Generation - Create engaging posts using advanced AI models.4. AI Process Automation - Use automation tools to generate and post content effortlessly.5. Integration and Deployment - Deploy your automated social media solution across multiple platforms.By the end of the course, you'll be able to:Automate the creation of engaging posts using GPTs and Claude models.Post content seamlessly across Facebook, Instagram, LinkedIn, and X (Twitter).Enhance posts with AI-generated images via DALL·E.Explore tips to improve your AI interactions with better prompts.Join me, Faizan Saifullah, as I walk you through the process of setting up an AI-powered social media posting system using tools like Google Sheets, Make, and cutting-edge Generative AI models. You'll also learn how to tweak AI-generated outputs and prompts to suit your needs. Once developed, just schedule the process and it will keep on posting on whatever the content you select.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Data Link Setup
Lecture 2 Setting up Data Link
Section 3: AI Web Surf
Lecture 3 Setting up Generative AI web surfing system
Section 4: AI Process Automation
Lecture 4 Automating AI Process
Lecture 5 Automating AI Process - Part 2
Lecture 6 Automating AI Process - Part 3
Section 5: Integration & Deployment
Lecture 7 Setting up connection with Social Media Account
Section 6: Result
Lecture 8 Result
Business Professionals,Business Owners,Entrepreneurs,Social Media Content Creators,Marketing Specialists,Sales Executives
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Homepage

https://www.udemy.com/course/automate-social-media-posting-using-ai/

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Free Download Automate your daily web tasks with Python
Published 10/2024
Created by Maxence BANON
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 58m ) | Size: 884 MB

Learn how to easily automate your web interactions with Python and Selenium, Automation, Bot
What you'll learn
Installing and configuring Python and Selenium
Automate repetitive tasks with Python and boost productivity
Automate web browser opening and navigation
Interact with web page elements (text fields, buttons, drop-down menus)
Manage wait times on the web browser
Integrate Python bots to automate web tasks such as scraping
Making code robust and handling exceptions
Test automation
Web automation with Python and Selenium
Requirements
A computer
Description
This comprehensive course on automating web tasks with Python and Selenium will guide you step-by-step through the essential techniques needed to efficiently automate repetitive actions on the Internet. You'll start with an engaging introduction to automation, exploring the compelling reasons for and numerous benefits of using Python and Selenium to seamlessly interact with web pages.Next, you'll be guided through the process of installing Python and configuring your development environment for optimal performance. You'll learn how to install Selenium, the key library for controlling web browsers, and discover how to launch a browser and automatically navigate to specific pages with ease.The course also delves into interacting with various web elements, such as text fields, buttons, and drop-down lists, empowering you to automate forms and execute other crucial actions on web pages. You'll gain valuable skills in extracting data from web pages (scraping), and learn how to effectively handle errors and exceptions to create robust, reliable scripts that can withstand real-world scenarios.As you progress through the course, you'll advance to more complex concepts, such as managing deadlines and automating intricate processes, ensuring that you are well-equipped to tackle diverse automation challenges. This course is perfect for beginners as well as anyone looking to enhance their productivity and streamline workflows through the power of automation.
Who this course is for
Professionals looking to automate manual tasks in their daily work.
Entrepreneurs interested in automating processes to save time and reduce human error.
Students wishing to deepen their knowledge of Python programming by creating simple bots.
Homepage

https://www.udemy.com/course/automate-your-daily-web-tasks-with-python/

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Free Download Automated Stock Trading Mastery For Busy Professionals
Published 10/2024
Created by Sagar Sharma(NCFM Certified), PGDM-Finance, M.Sc.
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 13 Lectures ( 2h 2m ) | Size: 2.37 GB

"Automate your stock trading with custom scanners, GTT orders, and alerts for hands-free, profit-driven strategies."
What you'll learn
Master the creation of custom stock scanners in Chartink to identify stocks based on tailored screening strategies.
Automate buy and sell orders using GTT (Good Till Triggered) orders in Zerodha for precise entry and exit points.
Receive real-time stock alerts to ensure timely actions, reducing the risk of missed opportunities.
Implement fully automated trading systems with minimal active involvement, ideal for busy professionals.
Build a hands-free trading strategy that consistently finds and executes profitable trades without manual input.
Develop a robust understanding of technical screening strategies using Chartink for more effective stock selection.
Set up stock alerts for specific triggers to stay informed even when you're away from the screen.
Learn how to manage risk and reward effectively using automated trading systems.
Optimize Zerodha's GTT features to create a set-and-forget approach for trade execution.
Gain practical experience with real-time case studies, simulating automated trades to enhance learning outcomes.
Requirements
No prior background in coding or finance needed.
Description
Unlock the power of Trading Automation and take control of your investments with minimal active involvement. In this course, you'll learn how to set up custom stock scanners in Chartink, run automated scans to identify stocks meeting your tailored screening strategy, and use Zerodha's GTT orders to automatically execute buy and sell orders based on pre-set criteria. Whether you're in meetings or simply away from your screen, you can stay ahead in the market with real-time stock alerts and automated trades, ensuring you never miss out on critical market opportunities.Key Course Highlights:Automated Stock Scanning: Master the art of using Chartink to automatically find stocks that meet your customized screening strategies.Order Automation: Learn to set and execute GTT orders in Zerodha, allowing for automated buy and sell orders without manual intervention.Stock Alerts & Timely Actions: Get instant notifications when market conditions match your strategy, minimizing the risk of missed trades.Effective for Busy Professionals: Ideal for individuals stuck in meetings or other commitments, ensuring you stay on top of the market even when you're unavailable.Minimal Active Involvement: Build a system that works for you, automating trades to generate profit with little manual effort.This course is perfect for professionals who want to streamline their trading operations while focusing on other responsibilities.
Who this course is for
Traders, Investors, Swing Traders, Businessmen, Professionals, Home Makers
Homepage

https://www.udemy.com/course/automated-stock-trading-mastery-for-busy-professionals/

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Free Download Automated Testing with Playwright and ChatGPT from 0 to 1
Published 10/2024
Created by Dan Andrei Bucureanu
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 51 Lectures ( 3h 48m ) | Size: 2.36 GB

Understand how to leverage the power of CHATGPT with CANVAS to create a fully functional Playwright testing framework
What you'll learn
Understand what is AI and how it works
Understand the basic types of automated tests
Understand what is Playwright
See a live demo on how to truly accelerate the creation of a framework with the help of ChatGPT
Create a well architected framework for Playwright
Have decoupled tech for automation framework
Integrate the automation framework into CI/CD with Github Actions
Requirements
No programming
basic testing know how
basic AI and prompt engineering experience
understanding of testing principels
basic understanding of test automation
Description
Welcome to "Automated Testing with Playwright and ChatGPT from 0 to 1," your comprehensive guide to learning the essentials of modern test automation and AI integration. Whether you're a beginner in test automation or an experienced developer looking to expand your skill set, this course will provide you with the tools and knowledge to effectively build and implement Playwright frameworks, along with integrating AI-driven automation and CI/CD processes.What You Will Learn:Introduction to AI and Test Automation: Get familiar with the foundational concepts of AI and its role in automation.Playwright Framework Basics: Learn how to use Playwright, a powerful automation tool for web testing, and explore its core features.Playwright LIVE LAB Test Automation on Blazedemo: See a live demo on how to create a full E2E test case based on CHATGPT and playwright, step by step guide.Framework Creation with Playwright: Understand how to design and implement a structured Playwright well architected frameworkAI Integration in Automation: Discover how to incorporate AI models, like ChatGPT, to enhance your test automation strategies.CI/CD Pipeline Integration: Learn how to seamlessly integrate your Playwright framework into Continuous Integration and Continuous Deployment pipelines for faster and more reliable testing cycles. Github is the tool of choice.Hands-on Projects: Build and run test scripts, implement AI-driven test scenarios, and deploy automation in real-world cases.Who This Course Is For:This course is ideal for software testers, developers, and AI enthusiasts who want to master the Playwright test framework while learning the fundamentals of AI-based automation. If you're aiming to elevate your automation skills, integrate AI into your workflows, or understand how to efficiently build a CI/CD pipeline, this course is perfect for you.Course Features:Engaging video lecturesHands-on coding exercises and projectsInteractive quizzes and assessmentsA supportive community forum for peer learning and collaborationLifetime access to all course materialsEnroll now and begin your journey toward mastering Playwright framework automation and AI integration today!
Who this course is for
Test Automation Engineers
Quality Engineers
Software Developers
Citizen Developers
Project Managers
Manual testers
Homepage

https://www.udemy.com/course/automated-testing-with-playwright-and-chatgpt-from-0-to-1/

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Free Download Automating BGP Routing Security with gRPC, gNMI, and YDK
Duration: 1h 41m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 356 MB
Genre: eLearning | Language: English
This course demonstrates how a combination of modern software technologies, such as IP routing, network security, and device automation, can be used to thwart denial of service attacks.
IP routing, network security, and device automation can powerfully combine to solve real-life business problems. In this course, Automating BGP Routing Security with gRPC, gNMI, and YDK, you'll first gain insight regarding the business scenario that the remainder of the course will address. This includes a detailed network review, plus some preparatory automation work. Next, you'll develop Python scripts using Google Remote Procedure Call (gRPC) and gRPC Network Management Interface (gNMI) to automate the injection of routes onto a network device. This course teaches you the core gRPC and gNMI technologies without using pre-made simplification libraries. Last, you'll see how to solve the business problem a different way, using the YANG Development Kit (YDK). This powerful tool introduces additional structure to your software design. When you're finished with this course, you'll have the skills necessary to automate network devices using gRPC, gNMI, and YDK. While the use-cases may differ over time, the method by which these tools are deployed remains the same.

Homepage

https://pluralsight.com/courses/bgp-routing-security-grpc-gnmi-ydk-automating-cert/

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Free Download Automating Ml Pipelines For Song Recommendation System
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.74 GB | Duration: 4h 46m
Automate Song Recommendations with Docker, MLFlow, and CI/CD Practices for Machine Learning Algorithms.

What you'll learn
Understand the Math Behind ML Algorithms: You will learn the mathematical concepts that underlie popular machine learning algorithms.
Implement Machine Learning Algorithms: You will gain hands-on experience in coding and applying various machine learning algorithms.
Design and Build MLFlow Tracking: You will learn how to use MLFlow for tracking and managing machine learning experiments effectively.
Implement Microservices with Docker: You will learn how to create and manage microservices for automating machine learning pipelines using Docker.
Automate Model Training and Evaluation: You will learn to use Airflow triggers to automate the process of training and evaluating machine learning models.
Set Up Git CI/CD for a Song Recommender App: You will learn how to implement CI/CD for a song recommendation web app.
Requirements
Basic Knowledge of Python programming, as it will be used for implementing machine learning algorithms and building ML pipeline microservices.
A desire to learn and experiment with machine learning and microservices is encouraged.
Description
Math Behind Machine Learning Algorithms:K-Nearest Neighbors (KNN): A method for finding similar songs based on user preferences.Random Forest (RF): An algorithm that combines many decision trees for better predictions.Principal Component Analysis (PCA): A technique for reducing the number of features while retaining important information.K-Means Clustering: A way to group similar songs together based on features.Collaborative Filtering: Making recommendations based on user interactions and preferences.Data Processing Techniques:Feature Engineering (Feature Importance using Random Forest): Feature importance analysis and creating new features from existing data to improve model accuracy.Data Pre-processing (Missing Data Imputation): Cleaning and preparing data for analysis.Evaluation and Tuning:Hyperparameter Tuning (Collaborative Filtering, KNN, Naive Bayes Classifier): Adjusting the settings of algorithms to improve performance.Evaluation Metrics (Precision, Recall, ROC, Accuracy, MSE): Methods to measure how well the model performs.Data Science Fundamentals:TF-IDF (Term Frequency and Inverse Document Frequency): A technique for analyzing the importance of words in song lyrics.Correlation Analysis: Understanding how different features relate to each other.T-Test: A statistical method for comparing groups of data.Automation Tools:Building Microservices using Docker: Use containers to run applications consistently across different environments.Airflow: Automate workflows and schedule tasks for running ML models.MLFlow: Manage and track machine learning experiments and models effectively.By the end of the course, you will know how to build and automate the training, evaluation, and deployment of an ML model for a song recommendation system using these tools, libraries and techniques.
Overview
Section 1: Introduction
Lecture 1 Course Introduction
Section 2: Machine Learning - Math Intuition
Lecture 2 Math Behind Collaborative Filtering
Lecture 3 Math Behind KNN (Euclidean Distance)
Lecture 4 Math Behind Naive Bayes (Bayes Theorem)
Lecture 5 Math Behind TF and IDF
Lecture 6 Math Behind Cosine Similarity
Lecture 7 Evaluation Metric - MSE
Lecture 8 Math Behind - K-Means Clustering (Unsupervised Learning)
Lecture 9 Math Behind Principal Component Analysis
Lecture 10 Math Behind Pearson Correlation
Lecture 11 Math Behind - T-Statistic Test
Lecture 12 Evaluation Metrics - Classification Models
Section 3: ML Experimentation - Supervised & Unsupervised Learning
Lecture 13 Module Artifacts
Lecture 14 Project Env Setup (Conda)
Lecture 15 Import required libraries
Lecture 16 Understanding the features in data
Lecture 17 Data Preprocessing
Lecture 18 Feature Engineering
Lecture 19 Pearson Correlation Analysis
Lecture 20 T-Test Statistics
Lecture 21 Collaborative Filtering - User Genre Matrix
Lecture 22 Creation of user similarity network visualization (Cosine Similarity)
Lecture 23 Songs Recommender Engine Model - Collaborative Filtering
Lecture 24 Fetch Songs Recommendation - Collaborative Filtering Model
Lecture 25 KNN and Naive Bayes Model Pipeline
Lecture 26 Model Hyperparameter Tuning
Lecture 27 Best Estimator Recommendation
Lecture 28 K-Means Clustering and PCA
Section 4: Airflow - Automate Collaborative Filtering model training and deployment
Lecture 29 Module Artifacts
Lecture 30 Code Environment Setup
Lecture 31 MLFlow Lifecycle and Commands
Lecture 32 Airflow Lifecycle and Commands
Lecture 33 DAG Setup - Data Splitting, User Genre Matrix Generation, Training & Evaluation
Lecture 34 train_and_deploy.py W/O Airflow
Lecture 35 Optional - DAG Assets Validation
Section 5: Building Microservices for MLFlow and Airflow using Docker
Lecture 36 docker-compose.yml Lifecycle (Theory)
Lecture 37 Dockerfile (Python and Airflow)
Lecture 38 Microservices - docker-compose.yml
Lecture 39 Building Docker Image for Python
Lecture 40 Building Docker Image for Airflow
Section 6: ML Pipeline Orchestration - Airflow Triggers and MLFlow Experiments
Lecture 41 Build and Compose up the Microservices
Lecture 42 Orchestrating the ML Job Triggers and Logs
Section 7: Song Recommender System Web App
Lecture 43 Import required modules
Lecture 44 Load Pkl Model
Lecture 45 Fallback condition for recommender system
Lecture 46 Load and Fetch cache Data
Lecture 47 Building UI for song recommender system
Lecture 48 Filter and Join recommendations
Lecture 49 Testing the recommender app in localhost environment
Lecture 50 Push the codebase to Github repository
Lecture 51 Deploy recommender app to Streamlit cloud with Github CI/CD
Section 8: Challenges / Takeaways / Homework
Lecture 52 Automating ML Pipeline Song Recommendation: Challenges / Takeaways / Homework
Lecture 53 Thank you!
Lecture 54 Codebase Artifacts
Students pursuing studies in data science, computer science, or related disciplines who want to enhance their practical skills in machine learning and automation.,Individuals looking to deepen their understanding of machine learning and its applications in real-world scenarios, particularly in recommendation systems.,Programmers interested in expanding their skill set to include machine learning concepts and automation practices using tools like Docker, MLFlow, and Airflow.,Professionals wanting to learn how to build and automate machine learning pipelines and improve their workflow efficiency.,Anyone with a foundational knowledge of machine learning who wants to gain practical experience in implementing algorithms and automating processes.,Individuals looking to enhance their qualifications and job prospects by adding machine learning and automation expertise to their portfolio.
Screenshot
Homepage

https://www.udemy.com/course/automating-ml-pipelines-for-song-recommendation-system/

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Free Download Autopilot Investing Masterclass
Published 10/2024
Created by Sagar Sharma(NCFM Certified), PGDM-Finance, M.Sc.
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 19 Lectures ( 3h 30m ) | Size: 4 GB

Build Wealth with Minimal Effort
What you'll learn
Investing on autopilot: Passive investing for business people
Day to day money management and cashflow analysis
Essentials: Emergency Fund, Life Insurance and Health Insurance
Easy, Practical and Powerful investing framework for busy people
Requirements
No Finance or Coding Background Needed
Description
Do you want to grow your wealth without constantly monitoring the stock market or making day-to-day investment decisions? The Autopilot Investing Masterclass is designed to teach you how to create a hands-off investment strategy that works for you, even while you're busy with your career, family, or other commitments.What You'll Learn:Basics of Passive Investing: Understand the fundamental principles of passive investing, including index funds, ETFs, and diversified portfolios.Automated Wealth Growth: Learn how to set up automatic investment plans that contribute to your portfolio regularly, ensuring your wealth grows effortlessly.Risk Management: Explore the strategies to balance risk and reward without constant portfolio management.Tax Efficiency: Discover tax-efficient strategies that let you keep more of your returns.Rebalancing Techniques: Learn when and how to rebalance your portfolio to maintain your target asset allocation.Long-Term Wealth Creation: Understand how compounding, dollar-cost averaging, and time-tested strategies can build your wealth over the years.Why Take This Course?No Financial Expertise Required: This course is perfect for beginners or anyone looking to simplify their investing approach.Low Maintenance: Build a strategy that requires minimal oversight but offers long-term returns.Set and Forget: Automate your investments to grow wealth while you focus on other priorities.Start your journey towards financial freedom by putting your investments on autopilot.Enroll today and create a stress-free path to financial independence!
Who this course is for
Busy professionals, employees, students, aspiring businessmen, startup founders
Homepage

https://www.udemy.com/course/autopilot-investing-masterclass/

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Free Download Avionics Systems Masterclass Navigation, Communication
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.27 GB | Duration: 0h 56m
Master Avionics Systems: Safety, Navigation, Communication, and Automation for Efficient and Secure Flight Operations

What you'll learn
Understand avionics systems, including navigation, communication, and safety, and how to apply them in real-flight operations.
Learn to interpret and use avionics instruments like VOR, ILS, TCAS, and Glass Cockpit, enhancing flight efficiency and safety.
Master the integration of systems like TAWS and EGPWS to prevent terrain collisions and improve situational awareness in various flight conditions.
Develop skills to troubleshoot common avionics issues and perform corrective and preventive maintenance with safety and precision.
Requirements
Basic knowledge of aviation and navigation systems is helpful, but the course is beginner-friendly for those interested in learning about avionics
No prior aircraft maintenance experience is required; the course covers concepts from basic to advanced levels.
No specific equipment needed; all content will be explained using visual resources and instructional materials.
A willingness to learn and an interest in technology and air safety are the main prerequisites to fully benefit from this course.
Description
This comprehensive Avionics Systems course is designed for aviation enthusiasts, students, and professionals seeking to master the fundamentals and advanced concepts of avionics. Throughout the course, you will explore key areas such as safety, navigation, communication, and automation, all essential for modern flight operations. Understanding avionics systems is crucial for optimizing flight performance, ensuring compliance with regulations, and enhancing overall flight safety.You will learn how these electronic systems provide critical data to pilots, manage flight paths, and reduce operational costs by improving fuel efficiency. The course covers the evolution of avionics, from early mechanical instruments to today's sophisticated digital displays and glass cockpits.You will gain insights into the integration of systems like TCAS, EGPWS, and ADS-B, which are pivotal in collision avoidance and traffic management. Additionally, we will delve into future trends such as advanced automation, augmented reality in cockpits, and the growing importance of cybersecurity in protecting avionics systems.By the end of this course, you will be equipped with the knowledge and practical skills to understand, utilize, and troubleshoot avionics systems, making you proficient in the technology that drives modern aviation today. Join us now and elevate your expertise in avionics to new heights!Join us now and elevate your expertise in avionics to new heights!
Overview
Section 1: Mastering Avionics: Systems, Evolution, and Future Trends
Lecture 1 Introdução
Section 2: Evolution of Avionics From Early Instruments to Modern Tech
Lecture 2 Evolution of Avionics: From Early Instruments to Modern Tech
Section 3: Mastering the Anemometric System: Airspeed, Altitude & Safety
Lecture 3 Mastering the Anemometric System: Airspeed, Altitude & Safety
Section 4: Mastering the Heading System Compass, Gyro & Navigation Tools
Lecture 4 Mastering the Heading System Compass, Gyro & Navigation Tools
Section 5: Gyroscopic Instruments: Horizon, Turn Indicator, and Navigation
Lecture 5 Gyroscopic Instruments: Horizon, Turn Indicator, and Navigation
Section 6: Aviation Communication Systems: VHF, HF, ELT & Audio Control
Lecture 6 Aviation Communication Systems: VHF, HF, ELT & Audio Control
Section 7: ADF Navigation: Radio Signal Direction, Approaches & Backups
Lecture 7 ADF Navigation: Radio Signal Direction, Approaches & Backups
Section 8: Air Navigation Systems: VOR, DME, RMI, and HSI for Precision
Lecture 8 Air Navigation Systems: VOR, DME, RMI, and HSI for Precision
Section 9: Mastering the HSI: Precision Navigation and Situational Awareness
Lecture 9 Mastering the HSI: Precision Navigation and Situational Awareness
Section 10: ILS Precision Approaches: Localizer, Glide Slope, and CAT Levels
Lecture 10 ILS Precision Approaches: Localizer, Glide Slope, and CAT Levels
Section 11: Mastering Weather Radar & Storm Scope for Flight Safety
Lecture 11 Mastering Weather Radar & Storm Scope for Flight Safety
Section 12: Radar Altimeter: Precision Altitude Measurement for Safe Landings
Lecture 12 Radar Altimeter: Precision Altitude Measurement for Safe Landings
Section 13: GPS in Aviation: History, Operations, and Precision Navigation
Lecture 13 GPS in Aviation: History, Operations, and Precision Navigation
This course is ideal for aviation students, aerospace enthusiasts, and industry professionals looking to deepen their knowledge of avionics systems. It is also perfect for pilots, maintenance technicians, and engineers who want to better understand the integration and operation of navigation and communication instruments in modern aircraft. Beginners interested in aerospace technology and flight safety will also benefit from this course, as it covers concepts from basic to advanced levels, providing a comprehensive and practical view of the avionics world.


Homepage

https://www.udemy.com/course/avionics-systems-masterclass-navigation-communication/

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Free Download Avoiding Back Pain in the Office
Published 10/2024
Created by Dr. Conor Hogan Ph.D.
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 17 Lectures ( 1h 12m ) | Size: 1.44 GB

Discover The Most Successful Ways To Maintain A Sustainably Pain Free Spine
What you'll learn
Establish the importance of a healthy back during everyday life
Discover the disadvantages of working in an office and how to overcome these disadvantages
Establish the best back care maintainence routine to sustain working in an office successfully
Understand how to avoid future back pain issues
Requirements
There are no specific requirements to take this course except and eagerness to learn.
More so, if you have an issue with your back then this is a great course for you to learn from. But, if you don't have any issues yet are beginning to work long hours in an office this course ill also help you to prevent future issues too.
Description
Achieve on your learning journey with Dr. Conor Hogan Ph.D. an Amazon no.1 Best Selling Author and A+ Awarded International Teacher!All of Dr. Conor's Courses on Udemy Come From His Fully Accredited Professional Studies.Avoiding Back Pain in the Office Will Enable You To Discover The Most Successful Ways To Maintain A Sustainably Pain Free Spine.Welcome to this professional course on Avoiding Back Pain in the Office. This is a thorough course of learning with self-assessment tasks included toward the end of each module within the course. This will enable you to learn quickly and memorize the lessons to avoid back pain in the office as soon as possible. In addition to this, there will be an exam at the end of the course. There will also be a case study so that you can begin to see the benefits of the learning and then be awarded your certificate of completion. This examination is there so that you will reap the benefits from studying the content within this course and challenge yourself to get the most from the educational material offered.In this course, you will learn what back pain is and why it is important to avoid back pain in the office. You'll gain a thorough understanding of how stress can impact your back pain and how you can change your perceptions and reactions to it when performing at work. You'll discover how your back is connected to your mind and how your performance will be impacted positively once you master your highest level of back pain prevention within this course.Whether you plan to be a professional works in an office daily or one who uses an office only now and then, you can use what you learned from this course to become more pain free and therefore more professional, poised, presentable, and confident in your overall delivery. By completing this course, you`ll be able to avoid back problems and deliver to your highest potential in the office when required.You'll understand why you`re in pain and you`ll be able to build better preventative measures for the future. By completing this course, you`ll learn from me as I had great back pain once too and now I`m going to help you get rid of yours.Please note that a small admin fee is payable if you are a Udemy Personal Subscription, Free Trial, or via Udemy for Business student to review your assessment from the course and issue your certificate.This course will equip you to look after your spine in the office so that you can build a lifetime of skills that will enable you to nimble and pain free throughout your working life.Our comprehensive modules include:· Ergonomic Chair,· Correct Desk Height,· Proper Posture,· Standing Desk Option,· Regular Stretching,· Proper Lifting Techniques,· Footrest Usage,· Monitor and Keyboard Position,· Exercise and Core Strengthening,· And a Workplace Ergonomics Assessment.
Who this course is for
All and any level of learner are welcome to take this course.
This course suits absolute beginners, those who consider themselves intermediate learners in this top and even those that are experts.
Homepage

https://www.udemy.com/course/avoiding-back-pain-in-the-office/

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Free Download Az-104 - A Complete Hand-On Azure Administrator Training
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.01 GB | Duration: 6h 1m
Master Azure Administration with Hands-On Labs & Demos to Become a Certified Azure Administrator (AZ-104)

What you'll learn
Azure identity and governance management.
Implementation and management of Azure storage.
Configuring and managing Azure virtual networks.
Azure compute resources deployment and management.
Azure security features and tools.
Azure monitoring and backup strategies.
Managing Azure workloads and scaling them.
Optimizing Azure resource performance.
Handling Azure disaster recovery and failover strategies.
Cost management and Azure pricing models.
Requirements
Nothing, we start from scratch
Will and attitude to learn new skills
Description
Master the skills required to become a certified Azure Administrator (AZ-104) with this comprehensive, hands-on training course. Designed for both beginners and IT professionals, this course dives deep into the core concepts of Microsoft Azure, from cloud computing basics to advanced Azure services and networking configurations. Learn how to deploy, manage, and secure Azure resources through practical demos and real-world use cases.Course Modules and Detailed Breakdown:Basics of Cloud Computing:Understand the key concepts of cloud computing.Learn the shared responsibility model and explore different cloud models (IaaS, PaaS, SaaS).Grasp CapEx & OpEx models in cloud computing.Core Architectural Components of Azureive into Azure datacenters, availability zones, and the global infrastructure.Understand regions, region pairs, and how they influence high availability.Management Structure of Microsoft Azure:Explore Azure resources, resource groups, and subscriptions.Learn how to organize Azure assets using management groups.Azure Resource Management Tools:Get hands-on with Azure tools like the Azure Portal, Azure Cloud Shell, PowerShell, and Azure CLI.Practical demos to create, manage, and monitor Azure resources.Azure Resource Manageriscover how to manage Azure resources with the Azure Resource Manager.Learn to create resource groups, apply resource locks, and move resources between subscriptions.Understanding & Configuring Azure Networking Services:Understand Azure Virtual Networks (VNet), subnets, and Network Security Groups.Set up public and private endpoints, and manage DNS configurations.Understanding and Configuring Network Security Groups:Learn how to configure Azure Network Security Groups to control inbound and outbound traffic.Implement security rules in Azure for enhanced protection.Deploying Azure Infrastructure with JSON ARM Templates:Learn infrastructure as code (IaC) principles and Azure Resource Manager templates.Practice deploying resources via ARM templates using Visual Studio Code.Managing Microsoft Entra ID:Understand Microsoft Entra ID (formerly Azure AD) and directory services.Manage users and groups, configure role-based access control, and implement self-service password resets.Configuring Azure Storage Solutions:Master Azure Storage Accounts, blob storage, file shares, and the different redundancy options.Implement storage security using encryption and shared access signatures.Configuring Azure Virtual Networks:Learn to plan and create Azure Virtual Networks, including configuring public/private IPs and endpoints.Configure Network Routing and Endpoints:Understand system routes and user-defined routes (UDRs) for advanced network configurations.Implement private links and service endpoints.Configure Azure Load Balancer:Learn about public and internal load balancers and their use cases in Azure.Implement load balancers with backend pools, health probes, and session persistence.Managing Virtual Machines and Availability:Explore virtual machine deployment, scaling, and availability options in Azure.Implement Virtual Machine Scale Sets for high availability.Azure App Services:Learn about Azure App Service plans, auto-scaling, and deployment options.Secure and monitor your Azure web apps with Application Insights.Configuring File and Folder Backups:Understand Azure Backup services and configure backup for on-premises and cloud data.Implement restore and recovery processes for critical data.Monitoring and Incident Response in Azure:Learn how to configure Azure Monitor, set up alerts, and create diagnostic logs.Implement incident response strategies using metric and log-based alerts.Why Take This Course?Hands-on, practical approach with real-world demos.Comprehensive coverage of all Azure Administrator exam (AZ-104) objectives.Step-by-step guidance on configuring and managing Azure infrastructure.Learn from experienced instructors with deep expertise in Azure services.Ideal For:IT professionals looking to shift to cloud-based roles.System administrators aiming to enhance their skills in Microsoft Azure.Aspiring Azure administrators preparing for the AZ-104 certification exam.Cloud enthusiasts seeking hands-on experience in a structured learning environment.This course is designed to give you in-depth knowledge and practical skills to manage Azure services efficiently, making you fully equipped to pass the AZ-104 exam and excel as an Azure Administrator.Join today to take your career to the next level!
Overview
Section 1: Basics Of Cloud Computing
Lecture 1 Understanding Cloud Computing & Service Types
Lecture 2 Shared Responsibility Model
Lecture 3 Cloud models
Lecture 4 Understanding CapEx & OpEx (consumption-based model )
Section 2: Core Architectural Components of Azure
Lecture 5 Azure Datacenters & Azure Availability Zones
Lecture 6 Demo: Azure Global Infra
Lecture 7 Understanding Regions
Lecture 8 Region Pairs
Section 3: Management Structure Of Microsoft Azure
Lecture 9 Azure Resources and Resource Groups
Lecture 10 Azure Subscriptions
Lecture 11 Management Groups
Lecture 12 Hierarchy of Resource Groups, Subscriptions, and Management Groups
Section 4: Azure Resource Managements Tools
Lecture 13 Demo: Installing Azure CLI
Lecture 14 Login to Azure Tenant Using Azure CLI
Lecture 15 Creating Resources in Azure Using Azure CLI
Section 5: Azure Resource Manager
Lecture 16 Creating & Applying Resource Locks
Section 6: Configure Azure Files and Azure File Sync
Lecture 17 Understanding Azure File Share
Lecture 18 Create Azure File Share
Lecture 19 Connecting Azure File Share on Local System as a Drive
Lecture 20 Understanding and Discussing Azure File Sync components
Lecture 21 Creating Azure Sync Service and Installing Agent
Lecture 22 Creating Azure Sync Group and Testing the Sync of Data
Section 7: Configure Azure Storage with Tools
Lecture 23 Installing Storage Explorer
Lecture 24 Using Azure Storage Explorer To Connect and Manipulate Storage Accounts
Section 8: Understanding & Configuring Azure Networking Services
Lecture 25 Get to Know About Azure Virtual Network (Vnet)
Lecture 26 Demo: Creating Azure Virtual Network (Vnet)
Lecture 27 Demo: Creating Public & Private Subnets
Section 9: Understanding and Configuring Network Security Groups
Lecture 28 Understanding Azure Network Security Groups
Lecture 29 Demo: Creating Network Security Group
Lecture 30 Demo: Attaching Network Security Group To Subnet
Lecture 31 Demo: Creating Rule In Our Azure Security Group
Section 10: Managing Users & Groups in Microsoft Entra ID
Lecture 32 Creating A User in Microsoft Entra ID
Lecture 33 Deleting & Restoring a User in Microsoft Entra ID
Lecture 34 Creating Guest User Accounts In Microsoft Entra ID
Lecture 35 Understanding Groups With Key points in Microsoft Entra ID
Lecture 36 Group Types In Microsoft Entra ID
Lecture 37 Creating Static Groups In Microsoft Entra ID
Lecture 38 Creating Dynamic Groups In Microsoft Entra ID
Lecture 39 Creating Administrative Units
Section 11: Configuring role-based access control
Lecture 40 Understanding Components, Use Case & Key Points of Role Based Access Control
Lecture 41 Creating Custom Roles in Azure
Lecture 42 Assigning Custom or In-Built Roles To Users
Lecture 43 Exploring Activity Logs To Do Forensics
Section 12: Self Service Password Reset & Directory Branding
Lecture 44 Understanding self-service password reset (SSPR) in Microsoft Entra ID
Lecture 45 License Requirements for Self Service Password Reset Feature
Lecture 46 Implementing Microsoft Entra self-service password reset
Lecture 47 Customize Directory Branding
Section 13: Configure Virtual Machines
Lecture 48 Adding Data Disk to a VM to Increase Storage and Efficiency
Lecture 49 De-Attaching Disk from VM
Section 14: Configure file and folder backups
Lecture 50 Creating & Configuring Azure Recovery Services vault backup options
Lecture 51 Installing & Configuring Microsoft Azure Recovery Services (MARS) agent
Lecture 52 Configuring Backup On On-Prem Server Using MARS Agent
Lecture 53 Restoring Data On On-Prem Server Using MARS Agent
Section 15: Configure virtual machine backups
Lecture 54 Configuring Backup, Creating Policy & Initializing Backup Of Azure VM
Lecture 55 Recovering Files & Folders From Azure VM Backup
Lecture 56 Restoring Complete Virtual Machine or Only Disk From Azure Backup
Lecture 57 Implementing & Exploring Soft Delete For Backup Data of Our Azure VMs
Section 16: Configure File Share Backup & Recovery
Lecture 58 Configuring Backup of Azure File Share
Lecture 59 Restoring Data in File Share
Individuals Preparing for the AZ-104 Certification to validate their Azure Administrator skills,Aspiring Azure Administrators looking to build foundational cloud skills,IT Professionals transitioning to cloud-based roles,System Administrators seeking to expand their expertise to Azure environments,Students and New Graduates eager to enter the cloud computing field with practical Azure knowledge
Screenshot
Homepage

https://www.udemy.com/course/complete-hand-on-azure-administrator-training/

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Free Download Azure AI Studio - Complete Guide to Azure AI Studio Copilot
Last updated 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.40 GB | Duration: 6h 55m
Azure AI Studio Masterclass | Build Gen AI apps and copilots | Automate tasks with Gen AI | RAG | Prompt Flow Copilot

What you'll learn
Master Azure AI Studio to build and deploy sophisticated AI solutions, enhancing productivity and innovation in your organizations
Create customized AI models trained on your own data sources (RAG), including documents, databases, and web content, to address specific business challenges
Integrate advanced AI services into applications with Azure AI Studio, making them multimodal with capabilities in vision, speech, and document intelligence
Develop end-to-end AI applications from scratch from Azure AI Studio
Integrate AI solutions with existing enterprise systems and workflows using APIs and custom functions with Azure AI Studio
Implement MLOps practices in Azure AI Studio to streamline the lifecycle management of AI models, from development to production and monitoring
Learn everything you need to know about Azure AI Studio, progressing from beginner to expert level throughout the course
Orchestrate prompt flows together to create copilots and apps, that bring together LLMs, data indexing (RAG), custom functions, multimodal services, and more
Requirements
Azure account
Familiarity with Python is not necessary, but would help with certain aspects of this course
Description
You've likely heard about ChatGPT and Microsoft 365 Copilot. But
did you know that you can create your own sophisticated AI solutions through Azure AI Studio?
With Azure AI Studio, you can build your own AI-powered applications, copilots, workflows, and more. These apps
can be trained on your knowledge base and perform complex tasks on your behalf
.
Think of Azure AI Studio like Copilot Studio, but on beast mode.
Azure AI Studio gives you access to a
collection of advanced AI models
(LLMs, vision, speech, document intelligence, and much more). It's a robust platform to build sophisticated AI applications and copilots.
This course is all about teaching you to become an expert in Azure AI Studio. Learn from more than
7 hours of relevant instructional video content
, with the only course that will teach you how to
build AI apps and copilots with Azure AI Studio
.
What is Azure AI Studio?
Azure AI Studio is Microsoft's end-to-end platform for
building and deploying AI solutions in the cloud.
It provides a unified environment where data scientists, developers, and business professionals can collaborate to
create AI-powered applications
using drag-and-drop interfaces, automated machine learning, and advanced AI services.
What can you do in Azure AI Studio?
Azure AI Studio is comprised of two things
A library of AI models and services
Azure AI Studio contains a marketplace of LLMs, from OpenAI to Meta to open source models. It also contains APIs for advanced AI services, like vision, speech, and document intelligence (i.e., reading receipts).
A platform to build AI apps
Azure AI studio has everything you need to build the most sophisticated AI apps and solutions, like orchestrations, endpoints, custom functions, data indexing, and more.
What is this course all about?
This comprehensive course teaches you how to
leverage Azure AI Studio to build, deploy, and manage AI solutions at scale
. You'll learn how to harness the power of Azure's AI services to
create intelligent applications
, process natural language, analyze images, and develop custom AI and Generative AI focused solutions.
We cover
every aspect of Azure AI Studio
, including AI models, AI services, deployments, prompt flows, data indexing (RAG), and more. The goal of this course is to make you a master at Azure AI Studio.
You will create sophisticated AI apps and workflows in this course including apps that extract and save text from receipts, and a workflow that does company research for you.
What will you learn?
Build sophisticated AI apps, copilots, and solutions
: Create advanced AI-powered assistants and applications tailored to specific business needs
Integrate your own knowledge
: Learn how to incorporate your unique data in the form of PDFs, TXTs, Excel files, and more into AI models using in-built RAG
Add custom functions with Python and APIs
: Extend the capabilities of your AI solutions with custom code and third-party integrations, fully integrated in Azure AI Studio
Integrate AI models
: Seamlessly combine various AI models to create powerful, multi-functional applications
Add in AI services to make your app multimodal
: Enhance your applications with vision, speech, language capabilities, and document intelligence for a rich user experience
Build full end-to-end AI apps
: Develop complete AI applications from concept to deployment, covering all aspects of the AI app build lifecycle
Productivity superstar -
Building AI apps is a productivity game changer, as it enables you to automate workflows or build personalized copilots that can leverage Generative AI to recall knowledge, call actions, perform research, and so much more
Why choose this course?
Complete guide
- this is the 100% start to finish, zero to hero, basic to advanced guide on Azure AI Studio. There is no other course like it that teaches you everything from start to finish. It contains over 7 hours of instructional content!
Structured to succeed
- this course is structured to help you succeed. We go through two each feature in-depth and then apply it to build our own AI apps, that leverage data, AI services like document intelligence, and much more
Fully instructional
- we not only go through important concepts, but also apply them as we are building our application so that we can solidify them. This is not only a walkthrough of the all the features and theoretical concepts, but a course that actually uses real-life examples and integrates workflows with you
Step by step
- we go through every single concept one-by-one. This improves your probabilities of learning Azure AI Studio rather than going haphazardly through each feature
Teacher response
- if there's anything else you would like to learn, or if there's something you cannot figure out, I'm here for you! Look at the ways to reach out video
Course overview
Introduction
- learn what this course is about, the roadmap, and how to succeed
Environment Setup
- set up your Azure environment, with an AI Studio Hub and an AI Project
Model Deployment
- deploy LLMs, from OpenAI, to Meta, to open-sourced models from Microsoft's marketplace
Chat Playground
- integrate LLMs into chat playground, add custom instructions, and deploy them as apps and endpoints
Data and Indexing (RAG)
- add data and knowledge into your AI apps through retrieval augmented generation (RAG)
Prompt Flow Builder
- orchestrate LLMs, data indexing, custom function, and more together into one workflow
AI Services (Multimodal)
- add AI services, like vision, speech, and document intelligence
Deploy and Monitor
- deploy your AI to an endpoint and consume it via Teams, Power Automate, and more
Full Complete AI Apps
- build full end-to-end AI copilots and apps
Conclusion and Certificate
- earn your online certification, and read about next steps
If you want to learn how to build awesome AI apps, solutions, copilots, and workflows using Azure AI Studio, then this is the course for you. We're looking forward to having you in the course and hope you earn the certificate.
Who this course is for
Developers and professionals who want to master Azure AI Studio and build advanced AI solutions
Business professionals aiming to leverage AI to drive innovation and efficiency in their organizations
Project managers who need to understand AI capabilities for strategic planning and implementation and who want to build AI tool
Entrepreneurs and startups looking to incorporate AI into their products or services
Students and academics interested in practical, industry-relevant AI skills
Anyone who wants to use AI to enhance productivity and decision-making in their work
Professionals in fields like healthcare, finance, or manufacturing who want to apply AI to industry-specific challenges
IT decision-makers evaluating AI platforms for enterprise use
Individuals interested in building and deploying their own AI models and applications
Data scientists and analysts looking to expand their skills in cloud-based AI and machine learning
Homepage

https://www.udemy.com/course/azure-ai-studio/

Screenshot

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Free Download Azure Data Engineering Real-Time Projects-DP 203 Exam Prep
Published 10/2024
Created by Step2C Education
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 Lectures ( 3h 22m ) | Size: 3.47 GB

Step-by-step guide to building and managing cloud data pipelines-Create, clean, and transform data pipelines using Azure
What you'll learn
Connecting and extracting data from APIs using ADF
Cleaning and transforming data using PySpark in Databricks
Automating data workflows with Azure Data Factory
Loading data into Azure Synapse for analysis
Power BI reporting and dashboard creation
Requirements
Internet connection
PC/Laptop/Mobile Phone
Azure account (if students want to practice the demo)
A willingness to learn new tools and frameworks
Basic understanding of cloud computing and data processing
Some exposure to SQL and Python
Familiarity with Azure (helpful, but not mandatory)
Description
Course Description:In today's data-driven world, businesses rely heavily on robust and scalable data pipelines to handle the growing volume and complexity of their data. The ability to design and implement these pipelines is an invaluable skill for data professionals. "Azure Data Engineering Projects-Real Time Azure Data Project" is designed to provide you with hands-on experience in building end-to-end data pipelines using the powerful Azure ecosystem. This course will take you through the process of extracting, cleaning, transforming, and visualizing data, using tools like Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Databricks, and Azure Synapse Analytics, with the final output delivered through Power BI dashboards.This course is perfect for anyone looking to enhance their skills in cloud-based data engineering, whether you're new to the field or seeking to solidify your expertise in Azure technologies. By the end of this course, you will not only understand the theory behind data pipelines but will also have practical knowledge of designing, developing, and deploying a fully functional data pipeline for real-world data.We will start by understanding the architecture and components of an end-to-end data pipeline. You'll learn how to connect to APIs as data sources, load raw data into Azure Data Lake Storage (ADLS), and use Azure Data Factory to orchestrate data workflows. With hands-on exercises, you'll perform initial data cleaning in Azure Databricks using PySpark, and then proceed to apply more complex transformations that will convert raw data into valuable insights. From there, you'll store your processed data in Azure Synapse Analytics, ready for analysis and visualization in Power BI.We will guide you through every step, ensuring you understand the purpose of each tool, and how they work together in the Azure environment to manage the full lifecycle of data. Whether you're working with structured, semi-structured, or unstructured data, this course covers the tools and techniques necessary to manage any type of data efficiently.Course Structure Overview:The course is divided into six comprehensive sections, each focusing on a crucial stage of building data pipelines:Introduction to Data Pipelines and Azure ToolsWe'll start with an introduction to data pipelines, focusing on their importance and use in modern data architecture. You will learn about the tools we will use throughout the course: Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Azure Synapse, and Power BI. We'll also cover how these tools work together to build an efficient, scalable, and reliable data pipeline in Azure. By the end of this section, you'll have a clear understanding of how Azure facilitates large-scale data processing.Data Ingestion using Azure Data Factory (ADF)In this section, we will focus on extracting data from external sources, particularly APIs. You'll learn how to create a pipeline in Azure Data Factory to automate the extraction and loading of data into Azure Data Lake Storage (ADLS). We will walk through the process of configuring datasets, linked services, and activities in ADF to pull in data in various formats (JSON, CSV, XML, etc.). This is the crucial first step of our pipeline and serves as the foundation for all subsequent steps.Data Storage and Management in Azure Data Lake Storage (ADLS)Once we have ingested the data, the next step is storing it efficiently in Azure Data Lake Storage (ADLS). This section will teach you how to structure and organize data in ADLS, enabling fast and easy access for further processing. We will explore best practices for partitioning data, handling different file formats, and managing access controls to ensure your data is stored securely and ready for processing.Data Cleaning and Processing with Azure Databricks (PySpark)Raw data often needs to be cleaned before it can be used for analysis. In this section, we'll take a deep dive into Azure Databricks, using PySpark for initial data cleaning and transformation. You will learn how to remove duplicates, handle missing values, standardize data, and perform data validation. By working with Databricks, you will gain valuable hands-on experience with distributed computing, enabling you to scale your data transformations for large datasets.This section also introduces you to PySpark's powerful capabilities for data processing, where you'll create transformations such as filtering, aggregating, and joining multiple datasets. We'll also cover the Bronze, Silver, and Gold layers of data transformation, where you'll take raw data (Bronze) through intermediate processing (Silver) and arrive at a clean, analytics-ready dataset (Gold).Data Transformation and Loading into Azure Synapse AnalyticsAfter the data has been cleaned and transformed in Databricks, the next step is to load it into Azure Synapse Analytics for further analysis and querying. You will learn how to connect Databricks with Azure Synapse and automate the process of moving data from ADLS into Synapse. This section will also cover optimization techniques for storing data in Synapse to ensure that your queries run efficiently. We will walk you through the process of partitioning, indexing, and tuning your Synapse tables to handle large-scale datasets effectively.Course Features:This course is designed to be hands-on, with practical exercises and real-world examples. You will:Work with a real dataset, extracted from an API, cleaned, transformed, and stored in the cloud.Perform data cleaning operations using PySpark and Azure Databricks.Learn how to use ADF for automated data pipeline creation.Practice transforming data into business-ready formats.Gain experience in optimizing data storage and querying in Azure Synapse.Develop interactive reports and dashboards in Power BI.Benefits of Taking this Course:By taking this course, you will gain practical, in-demand skills in cloud-based data engineering. You'll walk away with the knowledge and experience needed to design and implement scalable data pipelines in Azure. Whether you're a data engineer, data analyst, or a developer looking to build modern data workflows, this course provides you with the technical and strategic skills to succeed in this role.In addition to technical expertise, you will also gain insight into real-world use cases for these tools. Azure Data Factory, Databricks, and Synapse are widely used across industries to manage data workflows, from startups to enterprise-level organizations. After completing this course, you will be equipped to tackle data challenges using Azure's robust, cloud-native solutions.This course prepares you for a career in data engineering by giving you practical experience in designing and implementing data pipelines. You'll be able to use your new skills to build efficient, scalable systems that can handle large amounts of data, from ingestion to visualization.After completing this course, you will receive a course completion certificate, which you can download and showcase on your resume. If you encounter any technical issues throughout the course, Udemy's support team is available to assist you. If you have any suggestions, doubts, or new course requirements, feel free to message me directly or use the Q&A section.Let's get started on your journey to mastering data pipelines in the cloud!
Who this course is for
Data professionals working with cloud-based tools
Students or professionals looking to showcase a real-time Azure Data Engineering project.
Data analysts wanting to expand their knowledge of cloud data pipelines.
Aspiring data engineers seeking hands-on experience with Azure tools and frameworks.
Data scientists aiming to improve their understanding of data processing in the cloud.
Database developers interested in learning how to integrate cloud technologies into their workflows.
Azure developers eager to learn how to build scalable data pipelines using Azure services.
IT professionals looking to switch or enhance their skills in data engineering.
Cloud enthusiasts who want to explore Azure data services for handling large-scale data.
Database administrators who want to manage and optimize cloud-based data storage.
Homepage

https://www.udemy.com/course/real-time-azure-data-engineering-projects-dp203-certification-prep/

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Free Download Azure Entra ID - Identity Management and Architecture
Published 10/2024
Created by Vitalii Shumylo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 19m ) | Size: 607 MB

Identity, Access Management: tenant management, security features, and authentication protocols, user lifecycle, groups
What you'll learn
Design and implement comprehensive Azure EntraID solutions for enterprise environments, including authentication methods, access policies, and security controls
Master identity governance principles and implement automated lifecycle management processes using Azure EntraID's advanced features and integration capabilitie
Deploy and configure hybrid identity solutions, connecting on-premises infrastructure with cloud services while maintaining security and compliance requirements
Implement and manage advanced security features including Conditional Access, Identity Protection, and Privileged Identity Management for enhanced organizationa
Requirements
Basic understanding of IT concepts and cloud computing fundamentals
Description
This comprehensive Azure Entra ID course is designed to transform you from a beginner to an expert in Microsoft's cloud identity and access management solution. The course provides an in-depth understanding of Azure Entra ID (formerly Azure AD) concepts, implementation strategies, and best practices for enterprise environments.Throughout this detailed learning journey, you'll master essential concepts and practical skills across multiple crucial areas:Identity Management Fundamentals:- Understanding Azure Entra ID architecture and components- Managing users, groups, and role-based access control- Implementing and managing custom domains- Configuring and maintaining tenant relationshipsSecurity Implementation:- Deploying Multi-Factor Authentication (MFA)- Implementing Conditional Access policies- Managing identity protection features- Establishing Zero Trust security modelIntegration and Migration:- Connecting on-premises Active Directory with Azure Entra ID- Implementing hybrid identity solutions- Managing synchronization with Azure AD Connect- Migrating from traditional identity solutionsAdvanced Features and Administration:- Configuring Self-Service Password Reset- Managing application access and Single Sign-On- Implementing Privileged Identity Management- Monitoring and reporting capabilitiesEnterprise-Grade Solutions:- Understanding different license tiers (Free, P1, P2)- Implementing enterprise-scale identity solutions- Managing compliance and governance- Troubleshooting common issuesThe course combines theoretical knowledge with hands-on practice through real-world scenarios and lab exercises. You'll learn from industry experts and gain practical experience in implementing and managing Azure Entra ID in enterprise environments. Whether you're preparing for Microsoft certification or looking to implement Azure Entra ID in your organization, this course provides the comprehensive knowledge and skills needed to succeed.By the end of this course, you'll be able to:- Design and implement Azure Entra ID solutions for enterprises- Manage identity security and compliance- Integrate cloud and on-premises identity solutions- Troubleshoot complex identity and access issues- Apply best practices for identity managementThis course is ideal for IT professionals, system administrators, security engineers, and anyone looking to master modern identity and access management in the cloud.
Who this course is for
IT Professionals looking to expand their cloud identity management skills
System Administrators transitioning to cloud technologies
Security Professionals focusing on identity and access management
Anyone interested in modern identity management solutions
Homepage

https://www.udemy.com/course/azure-entra-id-identity-management-and-architecture/

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Free Download Azure for Architects Security and Identity Management with Microsoft Entra
Released 10/2024
With Gary Grudzinskas
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 41m 4s | Size: 192 MB

Develop the skills you need to build a strong corporate identity structure, ensuring safe and productive access to your Azure resources.
Course details
Providing the right resources to the right people is the foundation of a cloud infrastructure. In this course, information technology expert and trainer Gary Grudzinskas presents the information that you need to build your corporate identity structure and ensure the safe and productive access to your Azure resources. Learn how to provide application access and secure the availability of Azure resources. From the core of authentication and authorization in Azure to the finer details of designing a corporate identity structure, this course provides the key considerations necessary to build a strong identity structure.
Homepage

https://www.linkedin.com/learning/azure-for-architects-security-and-identity-management-with-microsoft-entra

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