YOUR LEARNING PATH

Four Levels to Become a

Production AI Engineer

Progress from building your first AI agents to engineering advanced, production-ready systems.

Each level builds on the last with hands-on projects, leading frameworks, and production AI engineering skills.

What AI Professionals Say About AI Agents Mastery 7-in-1

✱ Trusted by 3,200 AI Engineers, Architects, Data Scientists, Researchers, Leaders & Students in 130+ countries.

︾

Full AI Agents Mastery Curriculum

 LEVEL 1 

BUILDER

Build Real-World AI Agents

 Projects 1 - 4 Inside 

―

 ✢ Learn the Foundations of AI Agent Development

LLMs. Vision Models. Text to Speech. Custom Tools. Flow Engineering.

Understand how AI agents actually work and the building blocks behind them.

 ✢ Build Multi-Agent Systems with 3 Leading Frameworks

LangGraph/LangChain · CrewAI · OpenAI Swarm · Agent Handoffs · Tasks · Crews · Tools · State · Orchestration

Learn how to design and coordinate single-agent and multi-agent systems across LangGraph/LangChain, CrewAI, and OpenAI Swarm. Master agent orchestration, handoffs, task delegation, shared context, custom tools, state, workflows, and multi-agent collaboration.

 ✢ Build Domain-Specific & Custom AI Agent Systems 

Healthcare · Finance · Travel · Aviation

Turn real business problems into domain-specific AI Agent architectures and end-to-end systems. Build systems such as a Hospital Multi-Agent System, Financial Advisor Multi-Crews, Travel Planner Agents, and Airport Multi-Agents, and learn how agent roles, tools, workflows, context, and orchestration change with the domain.

 ✢ Build Retrieval-Augmented Generation (RAG)

FAISS Vector Database. ChromaDB Vector Database.

Learn how to build a complete RAG pipeline from embedding documents, to building vector databases, to running semantic search  enabling accurate, grounded, and context-aware responses from LLMs.

 ✢ Use the Right Models and APIs for the Job

Hugging Face. Groq. Gradio. DeepSeek R1. GPTs. LLaMA. Together AI.

Work with GPT, Gemini, Claude, Deepseek, LLaMA, and Groq via APIs for advanced reasoning and generation. Build interfaces with Gradio and visualize structured data with Folium. Use Hugging Face to access almost 3M+ pre-trained models for high-performance vision APIs  powering use cases like pneumonia detection, license plate recognition, and vehicle detection. 

PROJECTS IN LEVEL 1 

• 1. Hospital Multi-Agent System · LangGraph
• 2. Travel Planner Multi-Agent System · CrewAI
• 3. Financial Advisor Multi-Crew System · CrewAI
• 4. Airport Multi-Agent System · OpenAI Swarm

 LEVEL 2 

PRACTITIONER

Build Richer, Reusable, Multimodal AI Agents 

 Projects 5 - 10 Inside 

―

 ✢ Build Structured AI Agents with PydanticAI 

Structured Outputs. Tools. Context. Message History. Multi-Model Agents. RAG. Vision. Gradio.

Build reliable, typed AI Agents with PydanticAI, from basic chat and tool-using agents to context-aware, multi-model systems. Create 9 single-agent patterns, then apply them in end-to-end projects including a Traffic Flow Analyzer and a Multi-Agent License Plate Detection system using LLaMA Vision, FAISS RAG, vector databases, and Gradio.

 ✢ Work with Voice, Vision & Multi-Modal AI

Object Detection. Text to Speech. Image Classification. Face Recognition. OCR. Tabular Data.

Build agents that speak (via ElevenLabs), see (with vision models), and reason across text, image, video, and tabular data.

 ✢ Build Production RAG & Multimodal RAG Systems 

Embeddings · Vector Databases · Hybrid Search · Metadata Filtering · Multimodal Retrieval · Explainability · Evaluation

Learn how to build end-to-end RAG systems from document and image ingestion to embeddings, vector search, retrieval, grounding, evaluation, and production interfaces. Work with tools such as FAISS, Qdrant, BiomedCLIP, Gemini Pro Vision, and Gradio, and learn how retrieval changes across text-only and multimodal workloads.

 ✢ Model Context Protocol (MCP) – Build Reusable, Configurable AI Agents

Reusable Agents · Server/Client Architecture · FastMCP · Stdio vs SSE

Master MCP-based agent architecture, from context and toolchains to reusable servers and clients. Build 3 complete MCP systems with LangChain and the OpenAI SDK.

PROJECTS IN LEVEL 2 

• 5. Traffic Flow Analyzer

• 6. Multi-Agent License Plate Detection System

• 7. Medical Multimodal RAG System · BiomedCLIP + Qdrant

• 8. Math & Weather Agents
• 9. News Summarizer Agent
• 10. Air Quality Analyzer

 LEVEL 3 

ADVANCED

Engineer Reliable, Production-Ready AI Agents 

 Projects 11 - 16 Inside 

―

 ✢ Master 15 AI Agent Design Patterns with Google ADK

ReAct · Router · Reflection · Plan & Execute · Orchestrator-Worker · HITL · More

Learn the reusable architectural patterns behind reliable agent systems.

 ✢ Core Building Blocks of Production AI Agents

12-Layer Production AI Agent Stack | Medical Emergency Department - End to End

Business Understanding · Data Understanding · Knowledge Engineering · Model Engineering · Context Engineering · Semantic Engineering · Agent Engineering · Loop Engineering · Evaluation Engineering · Harness Engineering · Infrastructure Engineering · Continual Learning

Loop Engineering & Harness Engineering

Retries · Feedback Loops · Human Gates · Evals · Observability

Graph Engineering | Road Infrastructure - End to End

GraphRAG · Network Reasoning · Routing · Infrastructure Decisions

Continual Learning | Wind Turbine Maintenance - End to End 

Episodic Memory · Evaluation · Learning Signals · Continual Learning · Controlled Continual Learning · Context Gating · Isolation Forest

 Forward Deployed Engineering | Incident Operations - End to End

AgentSpecs · Meta Agents · Domain MCP · Safety Validators · Audit Trails

Context Engineering

Compaction · Context Isolation · Dynamic Tool Selection · Layered Action Spaces

Core Building Blocks of Production AI Agents

Reasoning · Memory · Orchestration · Evaluation · Monitoring · Reliability

 ✢  Claude Code as Building Accelerator

Skills · Meta Skills · Plugins · Hooks · MCP · Worktrees · Sub-agents

Use Claude Code to accelerate planning, architecture, coding, testing, and evaluation of production AI agents.

Claude Code Plugin Showdown: Building a Medical AI Agent
Benchmark 5 top Claude Code plugins by having each design a production medical AI agent, then compare them across 13 production criteria with LLM-as-judge scoring, rankings, and token usage.

Insurance Claims AI Agent Team - End to End

Build a production-grade 5-agent insurance claims system with vision-based damage checks, policy validation, risk scoring, payout recommendations, human review, 72 production evals, a Gradio dashboard, full audit trail, and reusable Claude Skill + plugin packaging.

PROJECTS IN LEVEL 3 

• 11. Cyber Defense System
• 12. $5B Supply Chain System
• 13. Insurance Claims System
• 14. Legal Document AI System · Google ADK
• 15. Tax & Accounting AI Agents · Google ADK
• 16. LinkedIn Marketing AI Agents · Google ADK

 LEVEL 4 

MASTERY

Make AI Agents Harness-Engineered, Graph-Powered, Self-Evolving, and Forward-Deployed

 Projects 17 - 20 Inside 

―

 ✢ Improve Production AI Agent Engineering

12-Layer Production AI Agent Stack | Medical Emergency Department - End to End

Business Understanding · Data Understanding · Knowledge Engineering · Model Engineering · Context Engineering · Semantic Engineering · Agent Engineering · Loop Engineering · Evaluation Engineering · Harness Engineering · Infrastructure Engineering · Continual Learning

Loop Engineering & Harness Engineering

Retries · Feedback Loops · Human Gates · Evals · Observability

Graph Engineering | Road Infrastructure - End to End

GraphRAG · Network Reasoning · Routing · Infrastructure Decisions

Continual Learning | Wind Turbine Maintenance - End to End 

Episodic Memory · Evaluation · Learning Signals · Continual Learning · Controlled Continual Learning · Context Gating · Isolation Forest

 Forward Deployed Engineering | Incident Operations - End to End

AgentSpecs · Meta Agents · Domain MCP · Safety Validators · Audit Trails

PROJECTS IN LEVEL 4 

• 17. Medical Emergency Department System
• 18. Wind Turbine Maintenance System
• 19. Road Infrastructure System
• 20. Incident Operations System

+BONUS

―

AI Agent Zero to Hero – Deep Dive

Foundations. Agent Logic. Framework Comparison. Deployment Thinking. Strategy.

Get a structured overview of AI Agents and a deep dive into how real-world systems are built, orchestrated, and deployed.

This 30-minute, 5-part module gives you the essential building blocks and strategic clarity to connect all the dots  from goals, tools, and memory... to reflection, collaboration, and long-term agent reasoning.

By the end, you'll have built 20 end-to-end projects across 16 industries, from agent design to production-grade, enterprise-ready systems, accelerated by Claude Code.

︾

Projects You’ll Build:

20 End-to-End AI Agent Systems across 16 industries

Full Python Code Included

Build in Google Colab, Cursor, Antigravity & VS Code

1. Hospital AI System ≫ LangGraph Module

Build Physician, Radiologist, and Reception Agents, integrated into a Gradio dashboard with vision models and patient database retrieval.

2. Financial Advisor Agents ≫ CrewAI Module

Design an intelligent agent that provides investment advice, personal finance breakdowns, and budget alerts with structured data.

3. Travel Planner Agents ≫ CrewAI Module

Build a multi-agent system that selects destinations, books hotels, suggests itineraries, and responds via voice (ElevenLabs), all within a Gradio interface.

4. Smart Airport & Geo Intelligence Multi-Agent System ≫ OpenAI Module

Build an airport multi-agent system for check-in, passport control, security, flight gates, and passenger services, using agent handoffs, vision/face detection, and Folium-based geospatial intelligence for maps, routes, and locations.

5. Traffic Flow Analyzer ≫ PydanticAI Module

Forecast congestion using real-time data and time series agents with interactive plots and dashboards in Gradio.

6. License Plate Detection System ≫ PydanticAI Module

Detect and tag vehicle plates using object detection + Hugging Face models, and store results in a searchable vector DB.

7. Medical Multimodal RAG System ≫ RAG Module

Build an end-to-end Medical Multimodal RAG system using BiomedCLIP embeddings, Qdrant vector search, and Gemini Pro Vision across 10,000 real eye scans, combining image + text retrieval, hybrid search, explainable diagnostic reasoning, confidence scoring, safety guardrails, and evaluation for retrieval quality and clinical performance, wrapped in a Gradio app.

 8.  Math & Weather Agents ≫ MCP Module

Design a minimal MCP client-server agent using Langchain that handles dynamic math questions and weather updates via multiple servers.

9.  News Summarizer Agent ≫ MCP Module

Use OpenAI SDK with MCP to create a news summarization agent that returns clean, markdown-style summaries, with stdio.

10. Air Quality Analyzer ≫ MCP Module

Build an MCP-based Langchain agent that analyzes pollution levels using external datasets as resource, with real-time insights via a modular client-server setup.

11. Legal Document AI System ≫ Google ADK Module

Build a 5-step production-ready legal AI agent that validates business constraints, profiles data uncertainty, benchmarks document parsers (Docling vs. LlamaIndex vs. PyPDF), routes and audits complex legal documents via Google ADK multi-agent flow, and standardizes the entire pipeline as a reusable MCP server, with fail-safes, human-in-the-loop escalation, and OCR quality gates built in.

12. Tax & Accounting AI Agents ≫ Google ADK Module

Master every essential agent architecture by building 9 progressive patterns, from single agents with Tool-Use, ReAct, Structured Output, and Memory, to compound multi-agent systems using LoopAgent, SequentialAgent, ParallelAgent, and a full Orchestrator-Worker pipeline, all applied to a real Accounting & Tax domain using Google ADK, Docling, Pydantic, and Gemini.

13. LinkedIn Marketing AI Agents  ≫ Google ADK Module

Build an end-to-end LinkedIn lead generation system with 29 agents across 6 agentic systems, applying 6 advanced design patterns including Self-Consistency CoT, ReWOO, Reflexion, AdaPlanner, HITL, and LLMCompiler, covering ICP analysis, market research, profile optimization, 30-day content planning, human approval gates, and a full content pipeline, all wrapped in a Gradio app using Google ADK and Gemini.

14. Insurance Claims Agent Team ≫ Claude Code Module

Build a production-grade multi-agent insurance claims system using Claude Code that validates claim completeness, cross-checks vision-analyzed damage against customer stories and repair estimates, verifies policy coverage, scores risk anomalies, and calculates final payout recommendations with human review routing. Intake, Damage Evidence, Policy, Risk, and Payout agents coordinate through LangGraph, backed by 72 production evals, a Gradio dashboard, and a full audit trail, then packaged as a reusable Claude Skill and Claude Code plugin with hooks.

15. $5B Flower Supply Chain ≫ Advanced Module

Build a production-grade end-to-end multi-agent AI system processing 43M flowers per day, integrating vision agents, synthetic data generation, species identification, RAG with ChromaDB, dynamic pricing, and a Gradio dashboard using Gemini Pro Vision, DeepSeek, PydanticAI, and LangGraph.

16. Cybersecurity ≫ Advanced Module

Build a production-grade multi-agent cyber defense system that ingests raw logs, flags anomalies instantly, classifies threat severity, runs live intelligence lookups, and auto-generates structured security reports. Ingest, Detect, Classify, and Report agents coordinate through LangGraph StateGraph workflows with ReAct reasoning, shared memory, and Python tool-calling.

17. Incident Operations System ≫ Advanced Module

Build an end-to-end Forward Deployed Engineering system with 3 FDE Meta Agents for Discovery, Architecture, and Evaluation that use reusable Skills + a domain MCP server to generate a validated AgentSpec. Dynamically build 5 Production AI Agents for a Theme Park Incident Operations System from that specification with LangGraph, deterministic safety validators, human approval for high-risk actions, production evals, and SQLite observability with a complete audit trail.

18. Road Infrastructure Agent System ≫ Advanced Module

Build a graph-powered 3-Agent System for Road Health, Maintenance Planning, and Closure Impact. Transform real OpenStreetMap road data into a road-network graph with OSMnx and NetworkX, then use LangGraph agents for graph-based routing, maintenance prioritization, and closure-impact analysis.

 19. Medical Emergency Department AI System ≫ Advanced Module

Build an end-to-end Production AI Agent system for a Medical Emergency Department using the 12-Layer Engineering Stack. Design intake, triage, decision-support, and routing workflows while applying Business & Data Understanding, Knowledge, Model, Context, Semantic, Agent, Loop, Evaluation, Harness, and Infrastructure Engineering, plus Continual Learning. Handle missing data, context selection, task-specific models, Generate → Verify → Retry → Escalate loops, repeatable evals, trace capture and replay, operational fallbacks, and controlled production improvement.

20. Wind Turbine Continual Learning System ≫ Advanced Module

Build a self-improving Production AI Agent System for Wind Turbine Maintenance across 5 progressive versions. Combine Pattern Recognition and Isolation Forest anomaly detection with Episodic Memory, Agent Evaluation, Learning Signals, Continual Learning, and Controlled Continual Learning. Add Context Gating and applicability checks to prevent Negative Transfer, so learned expertise is applied only when relevant to the current incident. Includes 24 simulated North Sea wind turbines and 5 Gradio UIs to visualize how agent behavior improves over time.

You'll master world-class AI Agents tools and frameworks Claude Code, LangGraph, MCP, Google ADK, PydanticAI, CrewAI, and OpenAI Swarm, plus the Advanced Module, by building 20 real-world AI Agent projects across 16 industries and business domains.

︾

Why AI Professionals Trust This Training

✱ Trusted by engineers, PhDs, and real-world builders in 130+ countries.

︾

I created AI Agents Mastery 7-in-1 from 20+ years of hands-on AI experience, so you can skip disconnected tutorials and master production-ready AI agents end-to-end.

Get the Complete 7-in-1 Full-Stack · 60% off

+ Free Future Modules · Lifetime Updates