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AI Academy 101

The foundational AI program: core concepts, advanced LLM skills, and building your first AI agents.

The foundational Agentive Academy program: a 3-level path that takes you from core AI concepts through advanced LLM techniques and your first hands-on AI agents.

Modules
3
Lessons
120
Time
8 to 10 hrs
Certificate
Yes

What you will learn

  • How modern AI and LLMs actually work
  • Prompting fundamentals to advanced techniques
  • Hands-on with leading AI tools
  • Introduction to building AI agents
  • Practical, everyday AI workflows

Who it is for

Anyone starting their AI journey

The full curriculum

3 modules, 120 lessons. Open any module to see its lessons.

Module 1 AI Foundations 20 lessons

Understand how modern AI really works.

  1. What Is Artificial Intelligence?
  2. The History & Evolution of AI
  3. How Computers Think: Logic, Rules & Symbolic AI
  4. AI in the Real World: Applications Across Industries
  5. Understanding Data & Datasets
  6. Data Quality, Cleaning & Preparation
  7. Data Visualization & Interpretation
  8. Introduction to Machine Learning
  9. Key ML Algorithms Explained
  10. How Models Learn: Training, Validation & Overfitting
  11. Evaluating ML Models: Metrics & Performance
  12. Neural Networks: How They Work
  13. Computer Vision & CNNs
  14. Natural Language Processing Fundamentals
  15. What Is Generative AI?
  16. Prompt Engineering Fundamentals
  17. Advanced Prompting Techniques
  18. Hands-On with AI Tools
  19. AI Ethics, Bias & Responsible AI
  20. The Future of AI: Career Paths & What's Next
Module 2 Advanced LLM Mastery 40 lessons

Level up your prompting and workflows.

  1. How LLMs Actually Work: The Transformer Architecture
  2. Scaling Laws & Emergent Abilities
  3. Pre-Training: How LLMs Learn Language
  4. Post-Training: RLHF, DPO & Alignment
  5. Tokenization Deep Dive
  6. Embeddings & Vector Spaces
  7. Context Windows & Memory
  8. System Prompts & Behavioral Control
  9. Output Control: Temperature, Sampling & Structured Output
  10. Multi-Turn Conversations & Chat Architecture
  11. Retrieval-Augmented Generation (RAG)
  12. Vector Databases & Similarity Search
  13. Advanced Retrieval Strategies
  14. Fine-Tuning Fundamentals
  15. Advanced Fine-Tuning: LoRA, QLoRA & PEFT
  16. LLM Evaluation: Metrics & Benchmarks
  17. LLM Safety, Red-Teaming & Guardrails
  18. Quantization & Model Compression
  19. Multimodal LLMs
  20. Open-Source LLMs & Model Ecosystem
  21. LLM API Design & Integration
  22. Cost Optimization for LLM Applications
  23. LLM Deployment & Serving Infrastructure
  24. LLMOps: Monitoring, Logging & Observability
  25. Structured Output & JSON Mode
  26. Prompt Chains & Composition
  27. Semantic Search & Knowledge Graphs
  28. LLM Caching & Performance Optimization
  29. Building LLM-Powered Applications
  30. LLM Security in Production
  31. Prompt Testing & Regression Suites
  32. Data Pipelines for LLM Applications
  33. AI Regulation & Compliance
  34. Enterprise LLM Architecture Patterns
  35. Conversational AI Design
  36. Domain-Specific LLM Applications
  37. LLM Performance Benchmarking
  38. Advanced RAG Patterns
  39. The Future of LLMs
  40. LLM Mastery Capstone
Module 3 Building AI Agents 60 lessons

Build your first AI agents.

  1. Introduction to Agentic AI
  2. Agent Architecture Deep Dive
  3. LangChain Agents Fundamentals
  4. LangGraph: Graph-Based Agent Workflows
  5. CrewAI: Role-Based Agent Teams
  6. Microsoft Agent Framework & Multi-Agent Conversations
  7. From Semantic Kernel to Agent Framework & OpenAI Agents SDK
  8. Agent Framework Comparison & Selection
  9. Agent Lifecycle & Error Handling
  10. Hands-On: Building Your First Agent
  11. Tool Calling Fundamentals
  12. Function Schemas & Type Safety
  13. Dynamic Tool Selection & Routing
  14. Tool Composition & Chaining
  15. Error Handling in Tool Calls
  16. Structured Output for Agents
  17. Built-in Tool Libraries
  18. Custom Tool Development
  19. Tool Security & Sandboxing
  20. Hands-On: Building a Multi-Tool Agent
  21. What Is MCP: Protocol Fundamentals
  22. MCP Architecture & Message Format
  23. MCP Tools, Resources & Prompts
  24. Building MCP Servers
  25. MCP Ecosystem & Discovery
  26. MCP for Enterprise Integration
  27. MCP Security: Threat Model & Defenses
  28. Real-Time Data Integration via MCP
  29. Cross-Platform MCP & Interoperability
  30. Hands-On: Building a Custom MCP Server
  31. Multi-Agent System Fundamentals
  32. Supervisor Architecture
  33. Blackboard Architecture
  34. Swarm Architecture
  35. Agent Specialization & Role Design
  36. Agent Handoff Patterns
  37. Intelligent Routing & Dispatching
  38. Agent Communication Protocols
  39. Scaling Multi-Agent Systems
  40. Hands-On: Building a Multi-Agent Team
  41. Chain-of-Thought Reasoning
  42. ReAct Pattern Deep Dive
  43. Tool-Calling vs. ReAct Agents
  44. Tree-of-Thought Reasoning
  45. Plan-Then-Execute Pattern
  46. Self-Reflection & Error Correction
  47. Constraint-Based Planning
  48. Hierarchical Task Decomposition
  49. Adaptive Planning & Replanning
  50. Hands-On: Building a Reasoning Agent
  51. Agent Memory Types
  52. Vector Stores for Agent Memory
  53. Key-Value Stores for Agent State
  54. Knowledge Graphs for Agent Reasoning
  55. Hybrid Memory Architecture
  56. Memory Efficiency & Token Optimization
  57. Agent Evaluation & Testing
  58. Production Agent Deployment
  59. Human-in-the-Loop Agent Patterns
  60. Capstone: Full-Featured Autonomous Agent

Your certificate

Complete every lesson and your certificate is issued on the spot, with a permanent credential number. Anyone can confirm it on the Academy's verify page, for good.

5-day money-back guarantee. Not right for you? Request a refund from your account within 5 days for every cent back.

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