Agentic AI Foundations for the Enterprise

Understand the fundamental shift from generative AI to autonomous agentic systems.

• 1.From Chatbots to Autonomous Agents12m
• 2.The Business Case for Agentic AI10m
• 3.Landmark Case Studies12m
• 4.Common Misconceptions8m
• 5.Module Wrap-Up & Reflection5m

Deconstruct the core components: LLM, tools, memory, planner, executor.

• 1.The Agent Loop12m
• 2.Tools & Function Calling10m
• 3.Memory Systems10m
• 4.Planners & Executors10m
• 5.Guardrails & Policies8m

Survey LangChain, CrewAI, AutoGen, LlamaIndex, and the MCP ecosystem.

• 1.LangChain & LangGraph12m
• 2.CrewAI & Multi-Agent Frameworks10m
• 3.AutoGen & Conversation-First Agents10m
• 4.Model Context Protocol (MCP)13m
• 5.Choosing Your Stack10m

Compare frontier models — GPT-5, Claude Sonnet 4.5, Gemini 3, and open-weight alternatives.

• 1.Frontier Model Landscape 202612m
• 2.Cost, Latency, Quality Trade-offs10m
• 3.Open-Weight Models10m
• 4.Fine-Tuning vs. Prompting vs. RAG8m
• 5.Benchmarks that Actually Matter5m

Build a research agent that answers questions with citations.

• 1.Setting Up Your Environment10m
• 2.Wiring the LLM12m
• 3.Adding Web Search as a Tool15m
• 4.Adding Citation Guardrails13m
• 5.Deploying to Production10m

Ground agents in your enterprise data with modern RAG.

• 1.Why RAG Beats Fine-Tuning for Knowledge10m
• 2.Vector Databases 10112m
• 3.Hybrid Search (Vector + BM25)10m
• 4.Reranking & Contextual Retrieval13m
• 5.Evaluating RAG Systems10m

Design systems where multiple specialized agents collaborate.

• 1.When to Use Multi-Agent10m
• 2.Orchestration Patterns15m
• 3.A2A: The Agent-to-Agent Protocol10m
• 4.Handling Agent Conflict & Deadlock15m
• 5.Case Study: Automated Financial Close10m

Give agents persistent, semantic, and procedural memory.

• 1.Memory Architecture Overview10m
• 2.Building Semantic Memory with Vector Stores12m
• 3.Episodic Memory & Summarization10m
• 4.Procedural Memory (Skill Libraries)10m
• 5.Privacy & Right-to-Forget8m

Advanced patterns: parallel calls, streaming tools, retries.

• 1.Tool Design Principles12m
• 2.Parallel Tool Execution10m
• 3.Streaming & Long-Running Tools10m
• 4.Retries, Timeouts, and Fallbacks13m
• 5.Testing Tools with LLM-as-Judge10m

Measure agent quality in production.

• 1.Why Traditional Testing Fails10m
• 2.Golden Datasets & Regression Suites12m
• 3.LLM-as-Judge Patterns10m
• 4.Tracing with LangSmith / Arize / Braintrust13m
• 5.Production Feedback Loops10m

EU AI Act, NIST AI RMF, ISO 42001 — what enterprises must comply with.

• 1.Regulatory Landscape 202612m
• 2.NIST AI Risk Management Framework10m
• 3.ISO/IEC 42001 AI Management Systems10m
• 4.Building an AI Governance Committee15m
• 5.Documentation Requirements13m

Prompt injection, data exfiltration, model inversion.

• 1.OWASP Top 10 for LLMs12m
• 2.Prompt Injection Defense-in-Depth13m
• 3.Preventing Data Exfiltration via Tools10m
• 4.Red-Teaming AI Agents10m
• 5.Incident Response for AI Systems10m

Kubernetes, GPU pooling, request routing, cost control.

• 1.Deployment Topologies12m
• 2.LLM Gateways & Routing13m
• 3.Kubernetes for AI Workloads15m
• 4.Observability Stack10m
• 5.FinOps for AI15m

Healthcare, finance, government — sector-specific patterns.

• 1.Banking & Insurance15m
• 2.Healthcare & Life Sciences15m
• 3.Government & Defense12m
• 4.Manufacturing & Industrial10m
• 5.Cross-Border Data & Sovereign AI8m

Synthesize everything: architect, build, evaluate, and present.

• 1.Capstone Brief15m
• 2.Architecture Deliverable20m
• 3.Evaluation Harness20m
• 4.Risk & Governance Memo15m
• 5.Executive Presentation20m