Lesson 5: AI Development Frameworks (Tester AI Theory course, ISTQB Tester AI certification)

This is Lesson 5 from my AI Testing Theory course, and it reveals the complete ecosystem of AI development tools through the perfect metaphor of dragon training. By the end of this video, you'll understand why choosing the right framework is like choosing the right tools to train your AI "dragon" - and why this knowledge transforms your testing approach forever.

WHAT YOU'LL DISCOVER IN THIS VIDEO:
• Why Hiccup's dragon-training workshop perfectly explains modern AI frameworks
• The shocking difference between CPU, GPU, and TPU hardware (and why it matters for testing)
• TensorFlow vs PyTorch: The universal workshop vs the researcher's laboratory
• Why 92% of Hugging Face models use PyTorch (and only 8% use TensorFlow)
• Hugging Face: The incredible library with over 1 million ready AI models
• How Transformers work like a collection of pre-trained specialist dragons
• The explosive rise of AI agent frameworks: CrewAI, AutoGen, and JAX
• Why testing AI agents requires completely new approaches (interaction, state, decision-making)
• How to choose the perfect framework for any AI project in 2025

READY FOR THE COMPLETE AI TESTING MASTERY?
This lesson is part of my comprehensive AI Testing Theory course that covers 100% of the ISTQB Tester AI certification syllabus with real-world applications.

FULL COURSE - GET EARLY ACCESS:
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✓ 60+ lessons covering all 11 exam sections
✓ 300+ practice questions with detailed explanations
✓ Huge self-learning materials for deep understanding
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PRACTICE NOW - EXAM SIMULATOR:
https://www.quizes.ainastasia.ai/
• Test your knowledge with real ISTQB questions
• Actual exam format and timing
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• Track progress and identify weak areas
• Perfect for final exam preparation

WHY UNDERSTANDING AI FRAMEWORKS TRANSFORMS YOUR TESTING:
• You'll know exactly which testing strategies work for each framework
• You'll identify framework-specific bugs and compatibility issues
• You'll understand performance bottlenecks across different hardware
• You'll speak the same language as AI developers and architects
• You'll prepare for the future of multi-agent system testing

⏰ TIMESTAMPS:
00:00 - Introduction: Dragons and AI Frameworks
00:20 - The "How to Train Your Dragon" Workshop Metaphor
00:47 - Why Hiccup Doesn't Reinvent Everything
01:23 - You = Hiccup, AI Model = Toothless, Framework = Workshop
01:48 - Why We Don't Build AI from Scratch
02:15 - Understanding AI Hardware: CPU vs GPU vs TPU
02:59 - Popular Frameworks Overview
03:04 - TensorFlow: The Universal Workshop
03:29 - PyTorch: The Researcher's Laboratory
04:06 - Keras: The Beginner-Friendly Toolkit
04:32 - Scikit-Learn: The Classic Machine Learning Tools
05:05 - LangChain: The Language Application Framework
05:56 - The Rise of AI Agents and Multi-Agent Systems
07:08 - OpenAI Integration and API Frameworks
08:03 - Cloud Platforms: AWS, Google Cloud, Azure
09:07 - The Hugging Face Revolution
09:36 - Transformers Library: Pre-Trained AI Models
10:23 - The Shocking Statistics: 121k GitHub Stars
10:50 - New Agent Frameworks: CrewAI, AutoGen, JAX
11:57 - How This Changes Testing Approaches
12:40 - Framework Selection Guide for 2025
13:16 - The Complete AI Ecosystem Today
13:47 - Next Lesson Preview: AI Hardware Deep Dive

ABOUT ME:
I'm Nastya, QA Tech Lead with 10+ years in testing and 2+ years specializing in AI projects. I help QA teams adopt AI technologies and participate in developing AI solutions. My mission is making complex AI concepts simple and actionable for testing professionals.

CONNECT WITH ME:
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Telegram: @ai_nastasiia
Questions? Email: [email protected]

COMING NEXT:
Lesson 6: "Hardware for AI Systems" - What infrastructure these AI dragons and agents need for full-fledged work, because even the smartest agent needs powerful infrastructure for thinking.

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