Video Tutorials Collection (Updated Daily)

[mitsumi1]

"glow Facial Reiki" Level 1 Certified
Published 3/2026
Created by Joan Carey
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 19 Lectures ( 57m ) | Size: 975 MB


Glow facial Reiki, an empowering holistic approach to skin care, Improves skin tone reduces fine lines and wrinkles.
What you'll learn
✓ You will learn, step by step, how to give a professional Glow facial reiki treatment.
✓ You will learn how to improve skin tone and reduce fine lines and wrinkles. in the face. You will also learn Symbols of Glow facial Reiki.
✓ You will also learn how to charge and use crystals, to boost the energy flow in the facial skin, this is highly beneficial in traditional Reiki sessions..
✓ You will understand and receive attunement for "Glow facial Reiki" level 1
✓ You will learn the symbols of Glow facial Reiki level 1
✓ You will learn principles and history of Reiki.
✓ You will learn how we transfer Reiki energy to flow to the skin.
Requirements
● Suitable for Reiki practitioners, beauticians looking for an empowering holistic approach to skin care (non touch)
● Those open to accessing a new way to upgrading their skin care energetically..
● New students / Beginners wishing to up skill on invaluable life skills.
● Crystals used here to boost the results, are 2 small/med rose quartz, 2 clear quartz, 1 selenite rod, optional 1 smoky quartz
● You may wish to use your own selection of crystals but these chosen form their skin healing properties.
Description
"Glow facial Reiki, a truly empowering holistic approach to skin care, non touch, pure charged life force energy healing the face from the inside out. Level one will see improvements in skin tone, reduction in fine lines and wrinkles bringing balance and a glow from the inside out.
This powerful course course is a bridge between those who may not wish to have a traditional Reiki course but who value the opportunity to see Reiki energy improve their skin visually. An incredible tool for those seeking something truly natural to the body, no creams, fantastic tool also for those sensitive to touch.
Level one is the foundation, you may advance to "Glow facial Reiki" level 2 where you will learn how to treat more difficult deep rooted skin issues.
You will learn in detail how to perform a professional, step by step process to improve the skin tone, reduce fine lines and wrinkles and glow from inside to out with life force Reiki energy, non touch no creams (crystals used).
Understanding of traditional Reiki.History of Reiki.
The Reiki principals.
Glow facial reiki symbols.
How to charge and use crystals in glow facial Reiki.
How to perform a professional session
You will receive an attunement to "glow facial reiki" level 1.
Who this course is for
■ Suitable for Reiki practitioners, beauticians (No reiki experience required) Those wishing to find an empowering holistic approach to skin care, no creams non touch. Suitable foe beginner's.
■ Beginners welcome.

download

https://rapidgator.net/file/7df73610ead834cc4bd6af0726ab805f/Glow_facial_Reiki_level_1_Certified.rar.html

https://nitroflare.com/view/C51F1BB10F5FD31/Glow_facial_Reiki_level_1_Certified.rar

[mitsumi1]

Ai-Assisted Machine Learning With Llms & Mcp In Jupyterlab
Published 3/2026
Created by Paul Chin, PhD
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 36 Lectures ( 5h 19m ) | Size: 3.4 GB


Do Machine Learning Faster by Connecting LLMs to Jupyter Notebooks Using Model Context Protocol (MCP)
What you'll learn
✓ Install JupyterLab
✓ Install Jupyter MCP Server
✓ Connect Claude to JupyterLab via MCP
✓ Connect other LLM agents to JupyterLab via MCP
✓ How to correctly prompt the LLM to do machine learning
✓ Running LLM locally using LM Studio
✓ Using LLM to explain and learn machine learning
✓ Using LLM to troubleshoot and resolve coding issues
✓ and more . . .
Requirements
● Basic Python knowledge is helpful, but you do not need to be an expert.
● An NVIDIA GPU on Windows PC is preferred for faster model training, but CPU-only will work but just slower
● Basic machine learning knowledge background would be helpful but not mandatory
Description
AI-Assisted Machine Learning with LLMs and MCP in JupyterLab is not a traditional machine learning course. It does not aim to teach formal machine learning theory, mathematical derivations, or academic foundations. Instead, this course teaches you how to use large language models (LLMs) as practical tools to build, run, and experiment with machine learning systems.
If you are looking for a deep theoretical explanation of "What is Machine Learning?" or a math-heavy course filled with formulas and proofs, this is not that course.
This course is about how to use AI to do machine learning.
It is 100% hands-on.
You will connect an LLM (Claude, OpenAI, DeepSeek, or any compatible model) to JupyterLab using MCP (Model Context Protocol) and use it as your coding partner. The LLM generates Python code, injects it directly into your notebooks, helps debug errors, suggests improvements, and explains outputs when needed. Your focus is on building and experimenting-not studying theory.
Think of it like "vibe coding" courses. In vibe coding, you are not taught how to manually write every line of code from scratch. Instead, you learn how to use LLMs effectively to generate, refine, and improve code. The skill being taught is not programming syntax-it is how to collaborate with AI to build software.
This course follows the same philosophy.
You are not learning machine learning in the traditional academic sense.
You are learning how to use AI to perform machine learning tasks efficiently.
If at any point you want to understand why the code is written a certain way, or what theory is behind a specific algorithm, you can simply ask the same LLM that generated the code. It can explain the mathematics, the intuition, or the concepts in as much depth as you want. The explanation is available on demand.
Therefore, in this course, I intentionally focus on the how, not the theoretical why. This is by design.
You will use tools such as scikit-learn, fastai, and PyTorch-but always through an AI-assisted workflow. Theory is kept to the minimum necessary to execute tasks confidently.
By the end of the course, you will know how to use an LLM to
• Generate and modify machine learning code
• Build regression, classification, computer vision, natural language processing, segmentation models, etc...
• Perform exploratory data analysis, preprocessing and feature engineering
• Evaluate and improve models
• Debug and iterate rapidly inside Jupyter notebooks
You will leave with something extremely practical: a repeatable AI-assisted workflow for getting machine learning projects done.
This course is ideal for developers, builders, and self-learners who care more about execution than academic depth-who want speed, productivity, and a modern AI-powered workflow rather than a traditional machine learning theory course.
Who this course is for
■ Self-learners who want to use a modern "vibe coding" paradigm, where an AI helps write code interactively.
■ Anyone who prefer hands-on learning and experimentation over long lectures and complex theory.
■ Developers, data scientists, or ML practitioners who want to automate and accelerate their workflows using AI

download

https://rapidgator.net/file/23be34bd66a232dbdeea40f6c11cf02e/AI-Assisted_Machine_Learning_with_LLMs_&_MCP_in_JupyterLab.part1.rar.html
https://rapidgator.net/file/1d04a91ce772f35fa419e6d8eff387ab/AI-Assisted_Machine_Learning_with_LLMs_&_MCP_in_JupyterLab.part2.rar.html
https://rapidgator.net/file/56f63a70e26a5a25a131e36d27fe37e8/AI-Assisted_Machine_Learning_with_LLMs_&_MCP_in_JupyterLab.part3.rar.html
https://rapidgator.net/file/6a5744736e88a7ad460b980299d3e3bd/AI-Assisted_Machine_Learning_with_LLMs_&_MCP_in_JupyterLab.part4.rar.html

https://nitroflare.com/view/08F6481914EF618/AI-Assisted_Machine_Learning_with_LLMs_%26amp%3B_MCP_in_JupyterLab.part1.rar
https://nitroflare.com/view/C8577EC1E9FC222/AI-Assisted_Machine_Learning_with_LLMs_%26amp%3B_MCP_in_JupyterLab.part2.rar
https://nitroflare.com/view/67BFF5ED40C8299/AI-Assisted_Machine_Learning_with_LLMs_%26amp%3B_MCP_in_JupyterLab.part3.rar
https://nitroflare.com/view/2770117A6638EE7/AI-Assisted_Machine_Learning_with_LLMs_%26amp%3B_MCP_in_JupyterLab.part4.rar

[mitsumi1]

Ai Basics For Quant Research And Trading Automation
Published 3/2026
Created by Excel Mojo
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 13 Lectures ( 2h 6m ) | Size: 893 MB


Learn AI for Quant Research & Trading: Data Pipelines, Backtesting, Risk Analytics, and ChatGPT Integration
What you'll learn
✓ Understand the complete quant research workflow from data to execution
✓ Build financial data pipelines using Python and real datasets
✓ Create features like returns, volatility, and moving averages
✓ Perform backtesting and evaluate trading strategies
✓ Calculate metrics like CAGR, Sharpe ratio, and drawdown
✓ Use ChatGPT to analyze strategies and automate insights
✓ Apply sentiment analysis for trading signals
✓ Combine AI with quantitative finance for smarter decision-making
Requirements
● A stable internet connection
● A laptop, desktop, or any other device that is capable of running Python and Jupyter Notebook
● Access to ChatGPT
Description
This course contains the use of artificial intelligence.
Quantitative research and trading are at the core of modern finance. From hedge funds to algorithmic trading desks, professionals rely on data, models, and automation to make informed investment decisions. With the rise of artificial intelligence, this process has become faster, smarter, and more scalable.
In this course, AI Basics for Quant Research and Trading Automation, you will learn how to combine Python, quantitative finance concepts, and AI tools like ChatGPT to build a complete research workflow.
We begin with a strong foundation by understanding the quant research pipeline-how raw data is transformed into trading decisions through features, models, backtesting, portfolio construction, and execution. You will then learn how to build data pipelines, import financial datasets, and prepare them for analysis.
The course moves into data cleaning and feature engineering, where you will create financial features such as returns, volatility, and moving averages. You will also explore sentiment analysis using AI, where ChatGPT helps convert textual data into actionable signals.
Next, you will build vectorized backtesting systems to evaluate trading strategies and compare them with benchmarks. You will learn how to calculate key performance metrics like CAGR, volatility, Sharpe ratio, and maximum drawdown, and understand what they mean in real-world trading.
Finally, the course integrates ChatGPT directly into the workflow, allowing you to automate analysis, generate explanations, and improve strategies like a professional quant analyst.
By the end of this course, you will understand how modern quant systems are designed, automated, and enhanced using AI.
Enroll now and start building AI-powered quant research and trading systems.
Who this course is for
■ Students interested in quantitative finance and algorithmic trading
■ Finance professionals looking to learn AI-driven research workflows
■ Python learners who want to apply coding in finance
■ Traders and analysts who want to automate strategy analysis

https://rapidgator.net/file/dd648bfe1a95823a0c38a9ddd07570dc/AI_Basics_for_Quant_Research_and_Trading_Automation.rar.html

https://nitroflare.com/view/A6A5BC114A0A08C/AI_Basics_for_Quant_Research_and_Trading_Automation.rar

[mitsumi1]

Ai For Digital Marketing Strategy & Automation
Published 3/2026
Created by Siam Hossain
MP4 | Video: h264, 11280xx720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 71 Lectures ( 7h 40m ) | Size: 4.3 GB


Use AI tools for SEO, content, ads, analytics, and marketing automation to build smarter digital marketing strategies.
What you'll learn
✓ Apply AI tools to build and optimize digital marketing strategies across SEO, content, ads, and automation
✓ Design AI-driven marketing funnels and automate workflows for lead generation and customer engagement
✓ Analyze marketing data using AI insights to improve ROI, targeting, and decision-making
✓ Develop a complete AI-enhanced digital marketing strategy for real-world business scenarios
Requirements
● No prior experience with AI or digital marketing is required - this course is beginner-friendly
● Basic understanding of internet and social media platforms is helpful
● Willingness to learn and apply new AI tools in marketing
● Access to a computer and internet connection
● Access to a computer and internet connection
Description
Disclaimer: This course contains the use of artificial intelligence(AI).
Artificial Intelligence is transforming the way modern marketing works. From content creation and SEO optimization to predictive analytics and marketing automation, AI is enabling marketers to work smarter, move faster, and deliver highly personalized customer experiences.
In this course, AI for Digital Marketing Strategy & Automation, you will learn how to integrate AI tools and technologies into every stage of your digital marketing strategy.
Whether you are a marketing professional, entrepreneur, business leader, or aspiring digital marketer, this course will help you understand how AI can improve marketing performance, reduce manual workload, and increase campaign effectiveness.
Instead of focusing only on theory, this course provides a practical, strategy-focused framework that shows how AI can be applied across the entire digital marketing ecosystem.
You will explore how AI can support key marketing functions such as
• Market research and customer insights
• Content marketing and content creation
• Search Engine Optimization (SEO)
• Social media marketing
• Paid advertising optimization
• Marketing automation and lead nurturing
• Campaign analytics and performance measurement
Throughout the course, you will also learn how to design a complete AI-driven digital marketing strategy that aligns with real business goals.
By the end of the course, you will understand how to combine human creativity with AI-powered tools to build marketing systems that are more efficient, data-driven, and scalable.
What You'll Learn
• How AI is transforming digital marketing strategies
• How to use AI for SEO, keyword research, and content optimization
• How AI improves social media marketing and advertising campaigns
• How to automate marketing workflows using AI tools
• How to use AI analytics for smarter marketing decisions
• How to design a complete AI-enhanced marketing strategy
The future of marketing is AI-powered. Companies across industries are rapidly adopting AI tools to improve marketing performance and customer experiences.
Professionals who understand how to integrate AI into marketing strategy will have a major competitive advantage.
This course gives you the knowledge and practical framework needed to succeed in the next generation of digital marketing.
Who this course is for
■ Entrepreneurs and business owners looking to grow using AI-driven digital marketing strategies
■ Marketing professionals who want to use AI to improve campaign performance and efficiency
■ Digital marketers who want to stay ahead with AI tools for SEO, content, ads, and automation
■ Freelancers and consultants who want to offer AI-powered marketing services
■ Beginners who want to learn how AI is transforming modern digital marketing

https://rapidgator.net/file/4f5d382c7903a4e6e1b6ec206aec3412/AI_for_Digital_Marketing_Strategy_&_Automation.part1.rar.html
https://rapidgator.net/file/9b1780294db2ba266e45596a43ecc008/AI_for_Digital_Marketing_Strategy_&_Automation.part2.rar.html
https://rapidgator.net/file/594a6d91caf6fa1bcfe192917d57e111/AI_for_Digital_Marketing_Strategy_&_Automation.part3.rar.html
https://rapidgator.net/file/ad2b1507dd631f577ebd03fddc464e05/AI_for_Digital_Marketing_Strategy_&_Automation.part4.rar.html
https://rapidgator.net/file/aa6116942bd75c49002ee5a06b324cba/AI_for_Digital_Marketing_Strategy_&_Automation.part5.rar.html

https://nitroflare.com/view/6AC9F4530494110/AI_for_Digital_Marketing_Strategy_%26amp%3B_Automation.part1.rar
https://nitroflare.com/view/1487AE9B03E32C5/AI_for_Digital_Marketing_Strategy_%26amp%3B_Automation.part2.rar
https://nitroflare.com/view/89902F3443242DE/AI_for_Digital_Marketing_Strategy_%26amp%3B_Automation.part3.rar
https://nitroflare.com/view/03B8D2AAEFC85D6/AI_for_Digital_Marketing_Strategy_%26amp%3B_Automation.part4.rar
https://nitroflare.com/view/412A6F677286FA9/AI_for_Digital_Marketing_Strategy_%26amp%3B_Automation.part5.rar

[mitsumi1]

Ai In Finance (2026)
Published 3/2026
Created by Michael Hofer
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 9 Lectures ( 1h 55m ) | Size: 711 MB


Practical Use Cases for Finance Leaders
What you'll learn
✓ Identify the four highest-ROI AI use cases for finance teams and launch the first one within 30 days
✓ Apply a six-step framework for building AI capability - from honest self-assessment through scaling what works
✓ Prioritize AI opportunities using a structured matrix that separates quick wins from costly distractions
✓ Write a specific, measurable success criterion for any AI initiative
✓ Build a practical AI governance policy using a four-pillar framework you can adapt immediately
Requirements
● No prior AI knowledge or technical background required
● No coding or data science experience needed
● A basic familiarity with finance concepts is helpful but not required
Description
AI is already transforming the finance function. The question is whether you'll lead that transformation - or scramble to catch up.
This course was built for finance leaders who are skeptical by nature and convinced by evidence. Not technologists. Not consultants. Finance professionals who are accountable for results and want a practical framework - not a promise.
I'm Michael Hofer. I'm a CFO and AI Project Lead currently implementing AI inside a real finance organization. Everything in this course comes from doing it - not writing about it, not advising on it from the outside, but running real teams, closing real books, and executing AI projects under real constraints. That distinction matters.
What this course is
A practical, evidence-based playbook covering the four AI use cases delivering measurable results in finance organizations right now - forecasting, contract review, accounting close automation, and reducing external advisory spend. A six-step framework for building AI capability with discipline. A governance model you can adapt and use immediately. And an honest look at the risks every finance leader must manage before deploying AI in consequential processes.
What this course is not
This is not a course about prompt optimization or AI tool comparisons. It is not technical - you will not need a data science background, coding experience, or any prior AI knowledge. And it is not hype. The gap between what vendors promise and what organizations actually experience is real, and this course was built around the evidence, not the pitch deck.
By the end of this course, you will have
A prioritized AI roadmap for your finance function. A success criterion for your first project. A governance framework your team can follow. And a 30-day action plan with a kickoff on the calendar.
The organizations winning with AI right now are not the ones with the biggest budgets. They are the ones that started.
This course exists to help you start.
Who this course is for
■ CFOs and finance leaders who want to implement AI but don't know where to start
■ Controllers, FP&A leaders, and finance managers responsible for forecasting, close, or reporting processes
■ Finance professionals who are skeptical of AI hype and want evidence-based, practical frameworks
■ Anyone currently leading or preparing to lead an AI initiative inside a finance function

https://rapidgator.net/file/333c8573e513846f5a15ac3c343d28ff/AI_in_Finance.rar.html

https://nitroflare.com/view/F8A964E1B5D6DBA/AI_in_Finance.rar

[mitsumi1]

Atex Fundamentals - Explosion Safety For Industry Gas & Dust
Published 3/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 44m | Size: 345.46 MB


Learn ATEX basics, explosion risks, zones, ignition sources and how to work safely in hazardous environments
What you'll learn
Understand what ATEX is and when explosive atmospheres can occur in industrial environments
Explain the explosion triangle, flammability limits (LEL/UEL), and ignition sources
Identify ATEX zones (Zone 0, Zone 1, Zone 2) for gases and understand dust zones (Zone 20, 21, 22)
Recognize common explosion risks in process industries such as oil & gas, chemicals, and manufacturing
Understand basic prevention measures including ventilation, ignition control, and explosion protection
Requirements
No prior ATEX knowledge is required. A basic understanding of industrial processes is helpful but not necessary.
Description
AI Usage Disclosure
Parts of this course were created with the assistance of artificial intelligence tools. All content has been carefully reviewed, validated, and supplemented by the instructor to ensure technical accuracy and practical relevance.
This course provides a clear and practical introduction to ATEX and explosion safety in industrial environments. It is designed for anyone working in areas where explosive atmospheres may occur, including oil and gas, chemical plants, manufacturing, and other process industries.
You will learn the fundamental principles behind explosions, including the explosion triangle, flammability limits (LEL and UEL), and the role of ignition sources. The course explains how explosive atmospheres form and why certain environments are classified as hazardous.
In addition, you will gain a solid understanding of ATEX zoning. Gas zones (Zone 0, 1, 2) and dust zones (Zone 20, 21, 22) are explained in a clear and practical way, so you understand what they mean in real industrial situations.
The course also covers common explosion risks found in industrial installations and introduces basic prevention measures such as ventilation, ignition source control, and safe working practices.
This is a beginner-level course, so no prior ATEX knowledge is required. The focus is on understanding the concepts, not complex calculations. By the end of this course, you will be able to recognize explosion risks and understand how ATEX principles are applied in practice.
This course also serves as a strong foundation for more advanced ATEX and explosion safety training.
Who this course is for
This course is designed for operators, technicians, junior engineers, and HSE personnel working in industrial environments where explosive atmospheres may occur, including oil & gas, chemical, and manufacturing industries.

https://rapidgator.net/file/97228f9a8b96cec8e4cf3121ed34f730/ATEX_Fundamentals_Explosion_Safety_for_Industry_Gas_&_Dust.rar.html

https://nitroflare.com/view/BA6AF6C85E2BA8F/ATEX_Fundamentals_Explosion_Safety_for_Industry_Gas_%26amp%3B_Dust.rar

[mitsumi1]

Becoming A Guzheng Performer Ix: Middle And Thumb Finger
Published 3/2026
Created by Chih-Lin Chou
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 5 Lectures ( 1h 12m ) | Size: 1 GB


The Middle Finger & Thumb Journey: Strength, Independence, and Flow
What you'll learn
✓ 1. Strengthen middle finger independence-move alone without ring finger
✓ 2. Keep thumb strong beside middle finger-no collapse, no shrinking
✓ 3. Connect both fingers into one flowing phrase-smooth, unbroken
✓ 4. Play complete piece from heart-joy, not judgment
✓ 5. Apply Five Elements wisdom: ground, clarity, strength, flow, radiance
✓ 6. Meet inner critic with kindness-witness without fixing
✓ 7. Trust your hands-technique becomes freedom
✓ 8. Honor each finger's unique gift-all essential
Requirements
● Required Prior Learning · Completion of BGPVIII: The Five Elements (Index & Thumb) or equivalent foundational experience This course establishes the essential foundation of thumb technique, anchored fingers, stable wrist, and familiarity with the Five Elements framework that this series builds upon. --- Recommended (Not Required) · Previous experience with BGPV, BGPVI, BGVII provides deeper context but is not mandatory · Completion of earlier series is beneficial but not required · Students with equivalent experience from other guzheng traditions are welcome --- Physical Readiness · No prior experience with middle finger independence needed · Willingness to meet frustration with patience · Ability to sit comfortably for 20-30 minutes of practice · Comfort with basic hand position and anchored fingers · Familiarity with thumb technique: lifting motion (托), open tiger's mouth, return to horizon --- Required Equipment Instrument: · Guzheng (21-string Chinese zither) · Lin Quan Yun Guzheng is recommended for its quality and suitability for therapeutic work · A well-maintained instrument with good tone supports the body-mind connection central to this course · If you need guidance when selecting a guzheng, you are welcome to ask Accessories: · Finger picks for right hand: thumb, index, middle · Tuning wrench (included with instrument) · Adhesive tape for securing picks · Small cushion or stool for proper sitting height Space: · Quiet practice area free from distractions · Good lighting --- Optional but Helpful · Journal for reflection prompts (provided in course) · Recording device (phone is fine) --- The middle finger is ready. The thumb remembers the way. Bring your foundation, bring your patience, and let the work continue.
Description
The Middle Finger & Thumb Journey
The middle finger and thumb form one of the most essential partnerships in guzheng playing. Strong, central, and deeply connected, they carry much of the music that flows through the instrument. But this partnership is not simple. The middle finger shares tendons with the ring finger-when one moves, the other wants to follow. Independence must be earned through patient attention, not force. The thumb has traveled through previous partnerships, learning to stand tall beside the index and middle fingers. Yet beside this new partner-stronger, more assertive-the thumb may feel the old impulse to shrink, to collapse, to become smaller than it is.
This course guides students through the five elements as a framework for understanding and developing this essential relationship. In Earth, students build the physical foundation: anchored fingers, stable wrist, the ground where independence can grow. Metal invites the middle finger to find clarity and separation, watching the ring finger's natural movement without judgment or frustration. Wood turns attention to the thumb, strengthening its ability to stand beside a powerful partner-keeping its knuckle curved, its tiger's mouth open, its horizon clear. Water teaches both fingers to release their separate identities and flow as one continuous phrase, surrendering control to the current of the music. Fire culminates in celebration: technique forgotten, heart leading, joy without reason.
Throughout each lecture, students engage with the therapeutic triad-body as vessel, mind as witness, spirit as stillness. Journaling prompts invite reflection on how finger patterns mirror life patterns: entanglement with others, shrinking beside strength, learning to support without dominating, letting go of control. The guzheng becomes both instrument and mirror.
By the end of this journey, students will have strengthened the middle finger's independence, reminded the thumb of its own quiet power, and learned to let both voices merge into one river. They will have met their inner critic with kindness, practiced patience with their weakest parts, and discovered that the forest is not a competition-it is a community where every tree belongs.
Who this course is for
■ The Foundation Builder You have completed BGPVIII: The Five Elements (Index & Thumb). You know what it feels like to ground your wrist in Earth, find clarity in Metal, strengthen your voice in Wood, flow in Water, and radiate joy in Fire. Now you are ready for the next partnership: the middle finger and thumb. This is the strong partnership-the one that will carry much of your playing for years to come. --- The One Who Struggles with Independence The middle finger and ring finger share more than proximity-they share tendons, history, habits. When one moves, the other wants to follow. If you have ever felt entangled with someone-unable to speak without pulling them along, unable to move without their influence-this course is for you. The middle finger's journey toward independence will mirror your own. --- The One Who Shrinks Beside Strength The middle finger is powerful. Central. Assertive. Beside it, the thumb may want to collapse, to hide, to become smaller. If you have ever felt yourself shrink in the presence of someone stronger, louder, more confident-this course is for you. The thumb will teach you how to stand your ground, keep your space open, and return to your horizon. Every time. --- The Seeker of Integration You have done the work of separation. Now you long for the work of union. You want to know what it feels like when two strong voices become one flowing phrase-not competing, not diminishing, but merging. Water teaches this. Fire celebrates it. You are ready. --- The One Who Notices the Inner Critic Frustration will come. "Why won't this finger listen? Why can't I do this?" This course will not silence your inner critic. It will teach you to notice it, thank it, and return to the finger-which is not failing, but learning. There is a difference. --- The Healer and the Healed Whether you work with others as a therapist, healer, or teacher-or whether you are simply on your own healing journey-this course offers a living metaphor. The middle finger's struggle to move alone. The thumb's tendency to shrink. The ring finger's desire to help by joining in. These are not just fingers. They are parts of the human soul. --- The One Who Believes Technique and Healing Are One Path You understand that how you move your fingers reveals how you move through life. You are willing to journal, to reflect, to meet yourself in the space between notes. The guzheng is not just an instrument. It is a mirror. --- This Course Is NOT For: · Absolute beginners (start with BGPVIII) · Those seeking only technical instruction without inner reflection · Anyone unwilling to journal or meet their inner critic · Students looking for quick results without patience --- You Belong Here If: You have completed BGPVIII (or equivalent foundational work). You are ready to meet the strong partnership of middle finger and thumb. You understand that technique and healing travel the same road. You are willing to be patient with your struggling parts. You believe that every voice-even the one that wants to shrink-deserves to stand tall. --- The middle finger is ready. The thumb remembers the way. Bring your foundation, bring your patience, and let the work continue.

https://rapidgator.net/file/128eb5bca600a83c17da26a0d8bd960c/Becoming_a_Guzheng_Performer_IX_Middle_and_Thumb_Finger.part1.rar.html
https://rapidgator.net/file/0fc9c7c245e41b39dd429f0dab919565/Becoming_a_Guzheng_Performer_IX_Middle_and_Thumb_Finger.part2.rar.html

https://nitroflare.com/view/E3E41368817490F/Becoming_a_Guzheng_Performer_IX_Middle_and_Thumb_Finger.part1.rar
https://nitroflare.com/view/A3143E83D49865E/Becoming_a_Guzheng_Performer_IX_Middle_and_Thumb_Finger.part2.rar

[mitsumi1]

Chords
Last updated 8/2023
Created by Jonathan Peters
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 68 Lectures ( 3h 51m ) | Size: 1.1 GB


Learn to recognize, read, play, and write chords
What you'll learn
✓ to recognize chords on the keyboard
✓ to recognize chords on the staff
✓ to recognize chords by ear
✓ to write chords
✓ fingerings for playing chords on the piano keyboard
✓ to play a variety of chord accompaniments
✓ to read chords symbols
Requirements
● You must have a basic ability to read notes, or have taken my course "Reading Music: Notes on the Staff & Keyboard".
● You don't need to know how to play the piano but it is helpful.
Description
In this latest course by award-winning composer Jonathan Peters, you will.
• Learn to recognize chords on the keyboard
• Learn to recognize chords on the staff
• Learn to recognize chords by ear
• Learn to write chords
• Learn fingerings for playing chords on the piano keyboard
• Learn to play a variety of chord accompaniments
• Learn to read chords symbols (including letters, Roman numerals, abbreviations, etc.)
The course includes over 200 exercises, assignments, and quizzes.
All material is presented in a straight forward manner, that doesn't waste time and gets right to the point. This course is part of a series of courses that focus on practical aspects of music (along with some necessary theoretical knowledge). It is Mr. Peters' 9th course overall.
The exercises can be done along with the videos or if you so desire, you will have the option to download PDFs.
This course is intended for beginners, those who want a refresher, those who may have not learned things correctly the first time, and anyone just wanting to learn more about music. You must have a basic ability to read notes, or have taken my course "Reading Music: Notes on the Staff & Keyboard". You don't need to know how to play the piano but it is helpful.
Who this course is for
■ beginners
■ those who want a refresher
■ anyone wanting to learn more about music

https://rapidgator.net/file/530f4a2c8fe7c556038252cb77304d94/Chords.part1.rar.html
https://rapidgator.net/file/e5474d63cb5a5da87a6c159b55d862e0/Chords.part2.rar.html

https://nitroflare.com/view/6FD0B88DEA78CDB/Chords.part1.rar
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[mitsumi1]

Color & Mood In Procreate For Beginners In Illustration
Published 3/2026
Created by Alexandra Finta
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 15 Lectures ( 2h 5m ) | Size: 2.22 GB


Learn To Use Color In Procreate To Create Mood, Atmosphere And Expressive Illustrations With Confidence
What you'll learn
✓ Understand how color influences mood and emotional storytelling
✓ Create intentional color palettes instead of randomly choosing colors
✓ Control contrast and color harmony so your illustration feels balanced
✓ Use color to guide the viewer's eye
✓ Create atmosphere and depth using light and color
✓ Transform a single sketch into multiple emotional experiences
Requirements
● You will need an iPad with Procreate.
● Basic familiarity with Procreate will be helpful, but you don't need to be an advanced artist to follow along.
Description
In this class, you will learn how to use color intentionally in Procreate to shape the mood of your illustrations, build stronger color palettes, and create more expressive digital illustrations.
READ A STUDENT REVIEW
"I really enjoyed this class all about colour and mood. Through this class I've created a resource for myself that I can refer to when I'm trying to convey mood with my drawing. I love Alexandra's teaching style. When you can watch her working in real time it demystifies the creative process, you see the mistakes and the thought process followed to rectify them, I'm learning a lot from her classes. There are so many useful resources to work through, setting you up to create a great project. I can recommend this class for anyone wanting to play with colour and build a creative process for themselves." Jenni C.
There are so many things you can achieve with color - you can guide the viewer's eye, add perspective and depth, affect mood, create feelings, and of course, tell stories.
For a beginner, this might sound overwhelming. But don't worry. In this class, we go step by step. I'll help you simplify color theory, understand emotional impact, and explore possibilities you might not even know you have.
The class comes with interactive worksheets and resources that will guide you through the entire process, so you're not just watching - you're actively experimenting.
In this class you will learn how to
• understand how color influences mood and emotional storytelling
• create intentional color palettes instead of randomly choosing colors
• control contrast and color harmony so your illustration feels balanced
• use color to guide the viewer's eye
• create atmosphere and depth using light and color
• transform a single sketch into multiple emotional experiences
Who This Class Is For
• beginner illustrators who want to understand color better
• intermediate artists who feel stuck with their color choices
• Procreate users who want to add more emotion and storytelling to their work
• anyone who wants their illustrations to feel more intentional and expressive
Requirements
You will need an iPad with Procreate.
Basic familiarity with Procreate will be helpful, but you don't need to be an advanced artist to follow along.
By the end of this class, you'll understand how to choose colors based on mood, how to build intentional palettes, and how to transform one single sketch into multiple emotional experiences.
So, are you ready to explore color with me? See you in class!
Who this course is for
■ Beginner illustrators who want to understand color better
■ Intermediate artists who feel stuck with their color choices
■ Procreate users who want to add more emotion and storytelling to their work
■ Anyone who wants their illustrations to feel more intentional and expressive

https://rapidgator.net/file/f694e3e1b0a7753392d1d2bcb7e7473f/Color_&_Mood_in_Procreate_For_Beginners_In_Illustration.part1.rar.html
https://rapidgator.net/file/4d93594b0fe1df6e98b0117d55cb1ec7/Color_&_Mood_in_Procreate_For_Beginners_In_Illustration.part2.rar.html
https://rapidgator.net/file/337d5bbb5fcc194735f3744fae234035/Color_&_Mood_in_Procreate_For_Beginners_In_Illustration.part3.rar.html

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https://nitroflare.com/view/F8A3F2FF1BD2FCC/Color_%26amp%3B_Mood_in_Procreate_For_Beginners_In_Illustration.part3.rar

[mitsumi1]

Complete Aws Certified Developer Associate Dva-C02 Course
Published 3/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 47m | Size: 314.78 MB


Master AWS Certified Developer Associate DVA-C02 and Pass AWS Certified Developer Associate DVA-C02 Exam
What you'll learn
Master complete concepts for AWS Certified Developer Associate DVA-C02 Exam
Pass the AWS Certified Developer Associate DVA-C02 in first attempt
Master Serverless API using AWS Lambda, API Gateway, DynamoDB & Cognito and Many more
Master every concept requited to pass the work as AWS Certified Developer Associate
Requirements
No IT pre-requisites is needed
Description
The Complete AWS Certified Developer Associate (DVA-C02) Course is a comprehensive program designed to help developers build, deploy, and manage modern cloud applications using Amazon Web Services (AWS). This course is ideal for software developers, cloud engineers, DevOps professionals, and anyone who wants to master AWS development services and successfully pass the AWS Certified Developer Associate certification exam.
In this course, you will start with the fundamentals of cloud computing and AWS core services, then gradually move toward advanced developer-focused concepts such as serverless applications, application deployment, monitoring, security, and event-driven architectures. Through hands-on demonstrations and real-world examples, you will gain the practical experience needed to build scalable and highly available applications on AWS.
You will learn how to develop applications using essential AWS services such as AWS Lambda, Amazon API Gateway, Amazon S3, Amazon DynamoDB, AWS CloudFormation, Amazon SQS, Amazon SNS, AWS Step Functions, AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline. The course also covers authentication and authorization using AWS IAM and Amazon Cognito, enabling you to build secure applications in the cloud.
In addition, the course explores important development topics such as SDK usage, environment configuration, deployment strategies, CI/CD pipelines, logging, monitoring with Amazon CloudWatch, debugging, and application optimization. You will also learn best practices for building cost-efficient, resilient, and secure cloud-native applications.
This course is carefully structured to align with the latest AWS Certified Developer Associate (DVA-C02) exam objectives, ensuring you gain both theoretical knowledge and practical skills required to pass the certification exam with confidence.
By the end of this course, you will be able to design, develop, deploy, and maintain AWS cloud applications while following AWS best practices. Whether your goal is to earn the AWS certification, enhance your cloud development skills, or build real-world serverless applications, this course will provide the knowledge and hands-on experience you need.
Who this course is for
Anyone wanting to acquire the knowledge to pass the AWS Certified Developer Associate DVA-C02 Certification

https://rapidgator.net/file/2460054ddb89a99b7d0a33e626709ca2/Complete_AWS_Certified_Developer_Associate_DVA-C02_Course.rar.html

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[mitsumi1]

Crowdstrike Falcon Endpoint Security Bootcamp (training)
Published 3/2026
Created by Data Elicit Solutions Pvt. Ltd.
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 26 Lectures ( 3h 9m ) | Size: 1.3 GB


Disclaimer: This course offered independently by Data Elicit Solutions and is not affiliated with CrowdStrike, Inc.
What you'll learn
✓ Understand the CrowdStrike Falcon platform and console
✓ Install Falcon sensors on Windows, Linux, and macOS
✓ Monitor hosts and understand sensor health dashboards
✓ Configure sensor update and content update policies
✓ Manage hosts and create host groups
✓ Use Real Time Response (RTR) for investigation and remediation
✓ Configure prevention policies and security controls
✓ Manage Indicators of Compromise (IOCs) such as hashes, domains, and IPs
✓ Create Custom IOA rules to detect suspicious behavior
✓ Implement device control policies for USB and removable devices
✓ Configure firewall policies and rule groups
✓ Apply security rules using network location-based controls
Requirements
● Basic understanding of IT or cybersecurity concepts
● Familiarity with operating systems like Windows or Linux
● Interest in learning endpoint security and modern EDR platforms
Description
This course contains the use of artificial intelligence.
CrowdStrike Falcon Endpoint Security Bootcamp is a hands-on course designed to help you understand and implement endpoint protection using the CrowdStrike Falcon platform.
This course is ideal for security analysts, SOC teams, IT administrators, and cybersecurity professionals who want to learn how modern organizations protect endpoints using a cloud-native security platform.
You'll begin with an overview of the Falcon console and platform, and then move step-by-step through practical tasks such as sensor installation on Windows, Linux, and macOS, host management, and security policy configuration.
Throughout the course, you will explore important capabilities within Falcon including Real Time Response (RTR), prevention policies, IOC management, Custom IOA rules, device control, and firewall management with network locations.
The course focuses heavily on practical implementation inside the Falcon console, helping you understand how endpoint security is deployed and managed in real-world enterprise environments.
By the end of this course, you will have the skills and confidence to deploy, configure, monitor, and manage CrowdStrike Falcon endpoints effectively.
Whether you are working in a SOC team, managing enterprise endpoints, or starting your cybersecurity career, this course will provide you with valuable practical knowledge of one of the most widely used endpoint security platforms in the industry.
Who this course is for
■ Cybersecurity beginners who want to learn endpoint security
■ SOC analysts and security engineers
■ IT administrators managing endpoints
■ Students preparing for cybersecurity careers
■ Anyone interested in learning how CrowdStrike Falcon works in real-world environments

https://rapidgator.net/file/cf9484fcc23fe41a3fd4d9c60f9d56be/CrowdStrike_Falcon_Endpoint_Security_Bootcamp_(Training).part1.rar.html
https://rapidgator.net/file/9b6e233405d1009d5bea4bf62336043e/CrowdStrike_Falcon_Endpoint_Security_Bootcamp_(Training).part2.rar.html

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[mitsumi1]

Data Visualization With Ggplot & Machine Learning In R
Published 3/2026
Created by Md Ahshanul Haque
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 150 Lectures ( 9h 52m ) | Size: 4.53 GB


Data Visualization with ggplot, Biostatistical Analysis, and Machine Learning for Data Science in R
What you'll learn
✓ Create professional data visualizations in R using ggplot for research and publication
✓ Clean, manage, and prepare real-world datasets for statistical and machine learning analysis
✓ Perform regression analysis and correctly interpret model outputs for research
✓ Apply machine learning models in R including decision trees and random forests
✓ Evaluate predictive models using train-test split, confusion matrix, and ROC curve
✓ Create professional data visualizations and publication-ready tables in R for research
Requirements
● Basic familiarity with R and running simple code
● R and RStudio installed on your computer
● No prior machine learning experience required
Description
Data Visualization and Machine Learning in R for Research and Data Analysis
This course offers a practical and structured approach to data visualization, biostatistical analysis, statistical modeling, and machine learning in R. It is designed for students, researchers, and professionals who want to apply data analysis techniques to real-world datasets.
Using a hands-on, learning-by-doing approach, you will work with real data from the beginning. You will learn how to import data in R and RStudio, explore data structures, and create professional visualizations using ggplot. By the end, you will be able to produce clear, publication-ready figures suitable for reports, theses, and research work.
The course then moves into data management and descriptive analysis. You will learn how to clean datasets, handle missing values, create new variables, and perform exploratory data analysis. These steps build a strong foundation for statistical modeling.
You will perform regression analysis in R, including linear and logistic regression, and learn how to interpret model results correctly. Special emphasis is placed on creating clear statistical summaries and publication-ready tables.
After building a solid statistical base, the course introduces machine learning in R. You will learn key concepts such as train-test split, model evaluation, and overfitting. Practical models such as decision trees and random forests are implemented and compared with traditional regression approaches.
You will also evaluate model performance using confusion matrices and ROC curves, helping you understand when machine learning methods are appropriate.
What you will learn
In this course, you will learn how to create professional data visualizations using ggplot in R and how to clean and manage datasets for analysis. You will perform descriptive and statistical analysis, build and interpret regression models, and generate publication-ready tables. You will also apply machine learning techniques in R and evaluate models using confusion matrix, ROC, and AUC. In addition, you will learn how to compare statistical and predictive modeling approaches in practical research settings.
Who this course is for
■ MPH, MSc, and PhD students working with research data
■ Public health and health research professionals
■ Researchers who want to move from regression to machine learning in R
■ Analysts interested in applying machine learning to real-world datasets

https://rapidgator.net/file/947cf4e6b09619fadbf50a6f84e5cfe0/Data_Visualization_with_ggplot_&_Machine_Learning_in_R.part1.rar.html
https://rapidgator.net/file/97f48ce972881945cda4b41c17eeca4d/Data_Visualization_with_ggplot_&_Machine_Learning_in_R.part2.rar.html
https://rapidgator.net/file/c90255c15fb0da2fc88f0942ad8ca5db/Data_Visualization_with_ggplot_&_Machine_Learning_in_R.part3.rar.html
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[mitsumi1]

Designing and Implementing a Data Science Solution on Azure
Duration: 34m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 216 MB
Genre: eLearning | Language: English


If you want to learn the Designing and Implementing a Data Science Solution on Azure concepts, this course is for you!

What you'll learn:
You will learn the Designing and Implementing a Data Science Solution on Azure concepts
You will have the clear understanding of the all core concepts
You will have some real time examples that will help you to understand the concepts
You will be more knowledgeable after going through this course

Requirements:
No Prerequisites

Description:
In this course, you will be learning many concepts related to Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure. This course will be helpful to acquire the all the crucial knowledge in Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure. You will be more knowledgeable after completing this course. you will be confident in Azure after this course.
This course is designed to help you to learn the for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure concepts. Even if you plan to master these concepts, this courses and hands-on labs will help you gain a solid understanding of how to architect a variety of Azure services.
This is intended for helping those who plan to acquire the knowledge for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure concepts. It provides the all of the concepts from basic to intermediate and some advanced concepts. You will be more knowledgeable after this course. You can understand the all of the concepts in Azure how to fix the issues if there is any issue occurring while working in the Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure.

Learning Objectives

Manage Azure resources for machine learning
Run experiments and train models
Deploy and operationalize machine learning solutions
Implement responsible machine learning

Who this course is for:
If you want to learn the Designing and Implementing a Data Science Solution on Azure concepts, then this course is for you!

[Ссылки доступны только зарегистрированным пользователям . Регистрируйся тут...]



RapidGator

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[mitsumi1]

Dp-800 : Microsoft Sql Ai Developer Associate Certification
Published 3/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 32m | Size: 198.42 MB


A Complete Guide to Passing the DP-800 Exam,DP-800 : Microsoft SQL AI Developer Associate certification bootcamp
What you'll learn
This certification is designed for professionals who want to combine SQL expertise with AI-powered data solutions in Microsoft Azure.
SQL Developers working with T-SQL, stored procedures, and database queries
Professionals who want to enhance skills with AI-integrated SQL capabilities
Professionals exploring AI + Data integration
Azure Data Engineers (Entry to Mid-Level)
Requirements
1. No Mandatory Certification Required
2.SQL & Database Fundamentals (Highly Recommended)
3. Azure Basics (Cloud Knowledge) basic Knowledge Recommended
4. Basic Programming / Development knowledge in one of: Python .NET Java
Description
Welcome to the DP-800: SQL AI Developer Associate course-your complete guide to building AI-powered database applications using modern Microsoft technologies.
What You Will Learn
By the end of this course, you will be able to
• Design AI-enabled database solutions
• Work with Azure SQL, SQL Server, and Microsoft Fabric
• Implement vector search, embeddings, and semantic queries
• Build intelligent, AI-powered backend applications
• Create and manage data pipelines for AI workloads
• Optimize performance and ensure secure data solutions
• Apply real-world scenarios aligned with the DP-800 exam
Why This Course?
• Covers the latest Microsoft AI + SQL technologies
• Focus on hands-on learning and real-world scenarios
• Aligned with DP-800 certification exam objectives
• Includes practical labs using Azure SQL & Microsoft Fabric
• Helps you transition into AI-powered development role
Requirements
• To get the most out of this course, you should have
• Basic knowledge of SQL (queries, tables, joins)
• Understanding of databases
• Basic familiarity with cloud concepts (Azure preferred)
• Interest in Artificial Intelligence (no prior experience required)
Hands-On Learning
This course includes step-by-step labs where you will
• Set up Azure SQL databases
• Work with Microsoft Fabric
• Build AI-integrated SQL solutions
Practice real exam scenarios
This course is fully aligned with the DP-800 certification, helping you understand
• Exam structure and question patterns
• Real-world case studies
• Practical implementation skills
• Set up Azure SQL databases
Work with Microsoft Fabric
Build AI-integrated SQL solutions
Who this course is for
SQL Developers working with T-SQL and relational databases
Professionals managing SQL environments
Want to build smart applications that interact with databases using AI

https://rapidgator.net/file/92a31eee3015886c06dbcce3b630e0e3/DP-800_Microsoft_SQL_AI_Developer_Associate_certification.rar.html

https://nitroflare.com/view/FCB7F43EB154A88/DP-800_Microsoft_SQL_AI_Developer_Associate_certification.rar

[mitsumi1]

Eu Ai Act Compliance For Organizations
Published 3/2026
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 40m | Size: 117.36 MB


Master the EU's groundbreaking AI regulation and prepare your organization for compliance
What you'll learn
Explain the scope, structure, and key provisions of the EU AI Act
Classify AI systems according to risk levels and corresponding obligations
Implement a structured approach to internal compliance and documentation
Integrate EU AI Act requirements with existing governance and audit frameworks
Requirements
- No prior knowledge of AI regulation required - Basic understanding of compliance or governance is helpful but not mandatory
Description
This course contains the use of artificial intelligence. Organizations deploying AI in the European market face fines of up to 35 million EUR or 7% of global turnover under the EU AI Act, with enforcement deadlines already in effect as of February 2025. If your company builds, deploys, or distributes AI systems that touch EU citizens, compliance is not optional and the clock is already ticking.
After completing this course, you will be able to classify your AI systems into the correct risk tier, build the mandatory technical documentation, establish human oversight protocols, prepare for conformity assessments, and create an implementation roadmap your leadership team can act on immediately.
Here is what you will master
• Identify which of your AI systems fall under unacceptable, high, limited, or minimal risk categories and what obligations attach to each.
• Build a compliance documentation package that satisfies EU regulatory requirements for transparency, data governance, and human oversight.
• Map EU AI Act requirements to frameworks you may already use, including GDPR, ISO 42001, and NIST AI RMF, so you are not duplicating effort.
• Prepare your organization for third-party conformity assessments and regulatory audits with practical checklists and evidence collection strategies.
• Implement a phased compliance roadmap with clear milestones aligned to the Act's staggered enforcement timeline through 2027.
• Navigate cross-border complexity for organizations operating across multiple EU member states with different national implementations.
Built by The Art of Service, drawing on 25 years of compliance expertise across 160 countries, a knowledge base covering 692 frameworks, 13,733 controls, and 819,000+ cross-framework mappings. This is not theory. This is the same methodology used by compliance teams at organizations worldwide.
The EU AI Act's prohibited practices provisions are already enforceable. High-risk obligations take effect in August 2026. Every month you wait is a month closer to enforcement without a plan. Start now.
Who this course is for
- Compliance and Risk Officers - Legal and Regulatory Affairs Professionals - AI and Data Science Team Leads

https://rapidgator.net/file/5d2aaec1c35fcf80f6bc6591ad2a60c9/EU_AI_Act_Compliance_for_Organizations.rar.html

https://nitroflare.com/view/C7A17DD05C4426C/EU_AI_Act_Compliance_for_Organizations.rar