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AI Fundamentals

4.0 (2)
23 learners

What you'll learn

This course includes

  • 7.5 hours of video
  • Certificate of completion
  • Access on mobile and TV

Course content

1 modules • 45 lessons • 7.5 hours of video

AI Fundamentals

45 lessons • 7.5 hours
  • RAG vs Fine-Tuning vs Prompt Engineering: Optimizing AI Models13:10
  • ADK vs RAG: How to Choose the Right AI Stack06:31
  • What AI Agent Skills Are and How They Work12:25
  • The 7 Skills You Need to Build AI Agents14:37
  • What is Physical AI? How Robots Learn & Adapt in Real Life08:52
  • What is AI Technical Debt? Key Risks for Machine Learning Projects13:33
  • What is Multimodal AI? How LLMs Process Text, Images, and More09:15
  • What is Human In The Loop with AI? How HITL Shapes AI Systems10:44
  • A2A vs MCP: AI Agent Communication Explained11:46
  • What Is NeuroSymbolic AI? Bridging Reasoning & Neural Networks05:47
  • What is Multimodal RAG? Unlocking LLMs with Vector Databases11:13
  • What is Prompt Caching? Optimize LLM Latency with AI Transformers09:06
  • AI Agents vs. LLMs: Choosing the Right Tool for AI Tasks07:51
  • Understanding AI Concepts: Machine Learning, Gen AI, NLP, & More06:21
  • Escape the AI Graveyard: Fixing Data and Machine Learning Failures07:29
  • AI Periodic Table Explained: Mapping LLMs, RAG & AI Agent Frameworks16:51
  • AI Trends 2026: Quantum, Agentic AI & Smarter Automation11:39
  • RAG vs Agentic AI: How LLMs Connect Data for Smarter AI10:01
  • A Brief History of AI: From Machine Learning to Gen AI to Agentic AI12:54
  • What Is an AI Stack? LLMs, RAG, & AI Hardware09:06
  • Machine Learning Explained: A Guide to ML, AI, & Deep Learning10:39
  • MCP vs gRPC: How AI Agents & LLMs Connect to Tools & Data10:35
  • The Limits of AI: Generative AI, NLP, AGI, & What’s Next?19:51
  • 7 AI Terms You Need to Know: Agents, RAG, ASI & More11:04
  • MCP vs API: Simplifying AI Agent Integration with External Data13:11
  • AI, Machine Learning, Deep Learning and Generative AI Explained10:01
  • Ten Everyday Machine Learning Use Cases07:07
  • Large Language Models: How Large is Large Enough?06:52
  • What Makes Large Language Models Expensive?19:20
  • Generative AI: A Conversation with Malcolm Gladwell & Darío Gil29:18
  • AI and Large Language Models Boost Language Translation06:19
  • The 7 Types of AI - And Why We Talk (Mostly) About 3 of Them06:50
  • The Rise of Generative AI for Business14:45
  • Machine Learning vs. Deep Learning vs. Foundation Models07:27
  • How to Add AI to Your Apps Faster with Embedded AI07:35
  • Top 5 AI Myths06:58
  • AI vs Machine Learning05:49
  • What are Generative AI models?08:47
  • Artificial Intelligence - Are We There Yet?07:08
  • NLP vs NLU vs NLG06:48
  • Humans vs. AI: Who should make the decision?08:57
  • Artificial Intelligence vs. Augmented Intelligence05:52
  • What is NLP (Natural Language Processing)?09:38
  • What is Machine Learning?08:23
  • What is a Chatbot?09:42

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