12-Week Program

Advanced Agentic AI Tools

A deep dive for designing, directing and scaling AI Agent Systems

12 Modules 135 Lessons 776 Topics
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Course content

Week 01 Foundations of Agentic AI 6 lessons 0/91 topics 01 Agentic AI vs Generative AI: Comparing Autonomy, Workflows, and Use Cases 1 topic 02 The Agentic AI Operating Model 9 topics 03 Persistent Instructions, Skills, Reverse Prompting, and Prompt Contracts 17 topics 04 Multi-Agent Orchestration, Model Routing, Video-to-Action, and Parallel Browser Work 17 topics 05 Multi-Agent Consensus, Debate, and Verification 21 topics 06 Context Engineering, Model Routing, Cost Control, and Scaling 26 topics CS Case study Week 01 Coming soon
Week 02 Mastering the Model Context Protocol (MCP) 20 lessons 0/44 topics 01 Why MCP Exists 1 topic 02 The Host-Client-Server Architecture 1 topic 03 Tools, Resources, and Prompts 1 topic 04 Communication Lifecycle, JSON-RPC, and Transports 1 topic 05 Connecting to and Using an Existing MCP Server 1 topic 06 Building a No-Code MCP Server 1 topic 07 Building a Code-Based MCP Server 1 topic 08 Development Environment, SDKs, and the Build Sequence 1 topic 09 Testing and Debugging MCP Implementations 1 topic 10 Authentication, Authorization, and Permissions 1 topic 11 Prompt Injection, Tool Poisoning, and Dynamic Tool Changes 1 topic 12 Supply-Chain Security and Secure Operations 1 topic 13 Designing Reliable MCP Tools and Workflows 1 topic 14 Deployment, Scalability, and Enterprise Infrastructure 1 topic 15 Agentic, Multimodal, and Real-Time Applications 1 topic 16 Applied MCP Case Studies 10 topics 17 A Hands-on Learning Path 7 topics 18 Community, Packaging, and Contribution 1 topic 19 Ecosystem Directions and Advanced Projects 1 topic 20 MCP Mastery Assessment 10 topics CS Case study Week 02 Coming soon
Week 03 Mastering RAG 10 lessons 0/14 topics 01 RAG Foundations and the Shift to Agentic Retrieval 1 topic 02 End-to-End Architecture for a Multi-User RAG Application 1 topic 03 Building with AI Agents - Planning, Context, Validation, and Version Control 1 topic 04 From Application Shell to Managed RAG - Fast Start and Black-Box Limits 1 topic 05 Owning the Retrieval Pipeline - Ingestion, Embeddings, Configuration, and Security 1 topic 06 Maintaining Knowledge Quality - Deduplication, Metadata, Parsing, and Performance 1 topic 07 Improving Retrieval Quality - Hybrid Search, Filtering, Reranking, and Tool Loops 1 topic 08 Retrieving Beyond Documents - Text-to-SQL, Web Search, and Database-Level Control 1 topic 09 Whole-Document Reasoning with Subagents and a Transparent Streaming Interface 1 topic 10 Testing, Debugging, Local Operation, and Production Readiness 5 topics CS Case study Week 03 Coming soon
Week 04 Memory Layer for AI Agents 10 lessons 0/10 topics 01 Why Conventional RAG Is Not Enough for Stateful AI Agents 1 topic 02 Represent Memory with Relational, Vector, and Graph Layers 1 topic 03 Turn Raw Data Into Searchable, Structured Memory 1 topic 04 Manage the Complete Memory Lifecycle 1 topic 05 Partition Memory by Domain, Session, and Agent Role 1 topic 06 Combine Vector Retrieval with Graph Traversal for Multi-Hop Answers 1 topic 07 Use Feedback to Improve Future Retrieval and Decision Making 1 topic 08 Orchestrate Multiple Agents to Resolve a Cross-System Incident 1 topic 09 Design for Persistence, Observability, Latency, and Deployment 1 topic 10 Understand the Trade-Offs and Choose the Right Memory Use Case 1 topic CS Case study Week 04 Coming soon
Week 05 Mastering the Essentials of Kimi K3 10 lessons 0/72 topics 01 Start with a Real Workflow Problem 6 topics 02 Match the Model, Context, and Interface to the Workload 6 topics 03 Design Goal Loops Instead of Chasing Perfect Prompts 6 topics 04 Decompose Large Work Into Specialized Subagents 8 topics 05 Turn Successful Procedures Into Reusable Skills 6 topics 06 Engineer Context Continuity with Projects and Shared Memory 9 topics 07 Extend the Agent with Tools, But Control the Trust Boundary 6 topics 08 Deploy Recurring Work Where It Can Actually Run 8 topics 09 Make Validation and Recovery Part of the Build Loop 11 topics 10 Separate the Model from the Harness and Compose an Agent Operating System 6 topics CS Case study Week 05 Coming soon
Week 06 Mastering the Essentials of Agentic Engineering 10 lessons 0/96 topics 01 The Agent Harness Is the Operating Layer 6 topics 02 Compress Context and Layer Instructions 14 topics 03 Turn Every Run Into Persistent Learning 6 topics 04 Parallelize Independent Work and Synthesize the Results 6 topics 05 Use Stochastic Consensus and Debate to Explore the Solution Space 6 topics 06 Build Lean Specialist Pipelines with Fresh Review Contexts 12 topics 07 Design Autonomous Improvement as a Measured Experiment Loop 13 topics 08 Choose the Least Complex Automation Layer That Works 6 topics 09 Treat Workspace Organization as Part of Context Engineering 8 topics 10 Contain Security Risk with Simple Controls and Independent Review 19 topics CS Case study Week 06 Coming soon
Week 07 Mastering Git & GitHub 10 lessons 0/89 topics 01 Version Control, Git, and GitHub 6 topics 02 The Git Workflow and Repository Setup 10 topics 03 Staging Changes with Control 8 topics 04 Commits, Identity, History, and Comparison 11 topics 05 Undoing, Restoring, Removing, and Reversing Changes 6 topics 06 Branching for Isolated Development 8 topics 07 Merging Branches and Resolving Conflicts 11 topics 08 Remote Synchronization and Pull Requests 11 topics 09 Preserving Unfinished Work with Git Stash 10 topics 10 Rebasing for a Linear History 8 topics CS Case study Week 07 Coming soon
Week 08 Mastering ComfyUI 10 lessons 0/64 topics 01 Building a Local ComfyUI Environment and Model Foundation 7 topics 02 Understanding the Node Graph and the Text-to-Image Pipeline 6 topics 03 Controlling Generation with Resolution, Seeds, Steps, Cfg, Samplers, and Denoise 6 topics 04 Organizing, Reusing, and Debugging Workflows 6 topics 05 Extending ComfyUI with Manager, Models, and Custom Nodes 6 topics 06 Upscaling Images and Controlling Which Outputs Continue 6 topics 07 Using Image-to-Image to Balance Preservation and Change 7 topics 08 Producing Detailed Enlargements with Tiled Image-to-Image Upscaling 6 topics 09 Controlling Pose and Composition with ControlNet 8 topics 10 Integrating External AI Tools and Consistent-Face Workflows with InstantID 6 topics CS Case study Week 08 Coming soon
Week 09 Detailed Workflow for AI Coding 10 lessons 0/61 topics 01 Manage the LLM Context as a Limited Engineering Resource 6 topics 02 Reach a Shared Design Concept Before Requesting a Plan 6 topics 03 Create a Destination Document Without Turning It Into a Specification-to-Code Contract 6 topics 04 Turn the Destination Into Vertical-Slice Issues and a Dependency Graph 6 topics 05 Separate Human Planning from AFK Implementation 6 topics 06 Use Test-Driven Development and Feedback Loops as the Agent's Control System 6 topics 07 Review in a Fresh Context and Use Manual QA to Restore Human Judgment 6 topics 08 Shape the Codebase Around Deep Modules with Simple Interfaces 6 topics 09 Control Instructions with Push and Pull, and Prevent Documentation Rot 6 topics 10 Scale the Workflow with Planners, Isolated Implementers, Reviewers, and Mergers 7 topics CS Case study Week 09 Coming soon
Week 10 Setting Up an LLM Council 9 lessons 0/54 topics 01 Use an LLM Council for Consequential, Ambiguous Decisions 6 topics 02 Build the Decision Process Around Stochastic Consensus 6 topics 03 Create Perspective Diversity with Specialized Agent Prompts 6 topics 04 Install and Register the LLM Council Skill 6 topics 05 Operate the Default Single-Model Council 6 topics 06 Add Model Diversity with a Cross-Vendor Council 6 topics 07 Configure Cross-Vendor Access and Protect the API Key 6 topics 08 Run and Inspect the Cross-Vendor Workflow 6 topics 09 Choose Between Default and Cross-Vendor Mode 6 topics CS Case study Week 10 Coming soon
Week 11 Advanced AI Engineering Workflows 10 lessons 0/60 topics 01 Move from Tactical Programming to Strategic Programming 6 topics 02 Optimize the Harness, Not Only the Model 6 topics 03 Design Skills as Reusable Procedures Without Bloated Context 6 topics 04 Use Adversarial Interviewing Before Implementation 6 topics 05 Build Stateful, Mission-Centered AI Learning Workflows 6 topics 06 Treat Human Knowledge, Skill, and Wisdom as the Performance Ceiling 6 topics 07 Run Scoped Agents Away from the Keyboard Inside Sandboxes 6 topics 08 Orchestrate Agent Work with Queues, Not Endless Loops 6 topics 09 Move Human Checkpoints Rightward While Preserving Review and Observability 6 topics 10 Keep Product Vision and Customer Discovery Human-Owned 6 topics CS Case study Week 11 Coming soon
Week 12 How-To Guide: Hermes Agent 20 lessons 0/121 topics 01 Distinguish the Model from the Hermes Agentic Harness 6 topics 02 Design Hermes as a Self-Improving AI Employee 6 topics 03 Choose a Runtime, Cost Model, and Recovery Path 6 topics 04 Grant Computer Access Without Surrendering Control 6 topics 05 Build a Multi-Channel Operating Layer 6 topics 06 Shape Behavior with Identity Files and Profiles 6 topics 07 Engineer Durable, Time-Aware Memory with Honcho 6 topics 08 Add Observability and Deterministic Project Tracking 6 topics 09 Scale from One Agent to Profiles, Squads, and Model Routing 6 topics 10 Connect External Applications Through MCPs, CLIs, and APIs 6 topics 11 Turn Repeated Work Into Cron Jobs, Skills, and Agentic Workflows 6 topics 12 Use /Goal for Long-Horizon, Self-Checking Execution 6 topics 13 Assemble a Visual Creation and Deployment Stack 6 topics 14 Build a Content Production and Distribution Engine 6 topics 15 Create Personalized Lead-Generation and Property Marketing Workflows 6 topics 16 Operate Community Management and Customer Support Agents 6 topics 17 Build a Paper-Trading Agent with Separate Execution and Strategy Layers 6 topics 18 Build a Private Health Accountability System 6 topics 19 Create a Jarvis-Style Personal Command Center 6 topics 20 Productize Hermes Systems as Outcome-Based Services 7 topics CS Case study Week 12 Coming soon