AI AGENTS MASTERY 5-in-1
Build Real-World AI Agents That Actually Work
No Confusion. Just Progress.
MCP · PydanticAI · LangGraph · CrewAI · OpenAI Swarm
11 Python Projects · 100% Hands-On
⭐⭐⭐⭐⭐(5/5) by 2,300+ professionals across 90+ countries
AI Agents Mastery is one of the Most Complete, Project-based Trainings that teaches you to build real-world AI agents using today’s most powerful frameworks. This hands-on course is built entirely around real-world use cases, so you can apply what you learn immediately.
You’ll work on practical problems in Healthcare, Supply Chain, Aviation, Finance, Smart Cities, Environmental Monitoring, and more, Created by a real-world AI expert, PhD, 20+ years, 90+ countries.
Self-Paced Online Training · Only Python Required · Full Code Included
⌛ Lifetime Updates & Lifetime Access
2,300+ already enrolled.
🎧 Includes English captions. Perfect for watching anywhere, anytime
What You’ll Be Able to Build:
Complete, End-to-End AI Agent Stack. Foundations to Enterprise.
Foundations of AI Agent Development
What AI agents are, how they work, and the building blocks behind them
Memory. Reaoning. Tools. Planning. Control flow.
11 End-to-End Hands-on AI Agent Projects
Healthcare, Supply Chain, Smart Cities, Finance, Aviation, Retail & more
Production-grade systems. Real data. Real constraints.
Agent Orchestration Frameworks
LangGraph, CrewAI, OpenAI Swarm, PydanticAI
Flow engineering. Execution graphs. Role isolation. Agent coordination. Structured handoffs
Model Context Protocol (MCP)
Reusable, configurable AI agents with server–client separation
FastMCP. Stdio vs SSE. Context files. Modular toolchains.
Retrieval-Augmented Generation (RAG)
FAISS. ChromaDB. Vector search pipelines
Embeddings. Semantic retrieval. Grounded, context-aware responses.
Multimodal AI Agents
Voice, Vision, Text, Video, Tabular data
Object detection. Image classification. Face recognition. OCR. Text-to-speech. Tabular context.
Full-Stack AI Agent Applications
Gradio apps. Interactive dashboards. Geospatial views
Gradio, Folium, interactive dashboards
Context Engineering
7 advanced methods for building stable, production-ready agents
Context offloading. Compaction. Layered action spaces. Dynamic tool selection.
Enterprise-Grade AI Agents
Advanced Agent Projects in Multiple Industries
Combined frameworks. High-complexity use cases. Latest tools and LLMs.
How I Think and Teach AI Agent Systems
Before you decide, you can watch how I approach real AI agent design.
This is a full lesson showing how I reason about architecture, frameworks, and production trade-offs.
How You’ll Build and Master AI Agents
01
Learn the Foundations of AI Agent Development
LLMs. Vision Models. Text to Speech. Custom Tools. Flow Engineering.
Get a clear grasp of what AI agents are, how they work, and the building blocks behind them: tasks, tools, workflows, and reasoning engines like GPT, Claude, Gemini, LlaMA, DeepSeek and more.
02
Build Multi-Agent Systems with 4 Frameworks
Pydantic AI · LangGraph · CrewAI · OpenAI Swarm
Use PydanticAI, LangChain, LangGraph, CrewAI, and OpenAI Swarm to create AI systems that operate across medical teams, travel assistants, financial advisors, and airport agents, smart city traffic analysis and vehicle detection.
03
Build Domain-Specific & Custom AI Agents
Healthcare. Supply chain. Finance. Aviation. Smart Cities. Geoscience. Software.
You’ll build and customize agents across real industries using structured data, vision models, time series forecasting, and intelligent workflows.
Examples of AI Agents you’ll create:
-
Physician Agent (with Patient Database Access)
-
Radiologist Agent (Image Classifier for Medical Scans)
- Supply Chain Agent (Vision-Based Inspection, Live Auctioning, and Operations)
-
Investment Advisor Agent (Personal Finance & Portfolio Insights)
-
Hiring Agent (Screening for Technical Roles)
-
Sales Agent (Selling Luxury & Specialized Products)
-
Airport Agent (Face Detector for Check-In & Passport Control)
-
Traffic Flow Analyzer Agent (Time Series Forecasting for Congestion)
-
License Plate Detection Agent (Object Detection with Vision Models)
-
Geo Agent (Location Intelligence via Folium Maps)
-
Database Agent (Smart Retrieval from Structured Sources)
-
Coding Agent (For Code Generation, Review & Debugging)
You’ll master how to adapt agents to different domains and make them truly usable, intelligent, and task-aware.
04
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.
05
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.
06
Use the Right Models and APIs for the Job
Hugging Face. Groq. Gradio. DeepSeek R1. GPTs. LLaMA. Together AI.
Work with GPT-4, Claude, 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 1.5M+ pre-trained models, and Together AI for high-performance vision APIs powering use cases like pneumonia detection, license plate recognition, and vehicle detection.
07
Model Context Protocol (MCP) – Build Reusable, Configurable AI Agents
Reusable Agents · Server/Client Architecture · FastMCP · Stdio vs SSE
Master the full lifecycle of MCP-based agents — from context files and toolchains to deploying modular servers and clients that wrap around your AI agent logic.
You’ll build 3 complete MCP projects using Langchain and OpenAI SDK all inside VSCode:
-
Air Quality Analyzer – Langchain Tools + vector-based retrieval
-
News Summarizer – OpenAI SDK + Markdown output
-
Math & Weather Agent – Langchain client-server pipeline
By the end, you’ll know how to architect portable, configurable AI agents that separate logic from context and run fast, flexibly, and reproducibly.
08
Advanced Topics | Enterprise-Grade AI Agents
9 Additional End to End AI Agents Project Architecture
After building 9 AI agent projects hands-on and step-by-step in the core modules, Advanced Topics expands your perspective with 9 additional project ideas across 9 different industries.
Rather than step-by-step builds, this module focuses on architecture, technology choices, system design, and curated code resources — enabling you to design, extend, and experiment with your own AI agent systems long after the course.
You’ll also learn how to use Gemini 3 Pro as a pre-agent for business and data understanding, accelerating analysis and system design before implementation.
$5B Enterprise Supply Chain
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 3 Pro Vision, DeepSeek V3.2, PydanticAI, and LangGraph.
+ Use Gemini 3 Pro as a pre-agent for business and data understanding to accelerate system design before implementation.
Context Engineering
Learn 7 advanced context engineering techniques that keep large-context agents reliable in production. This module explains why agents degrade at 128K–200K tokens (Pre-Rot Threshold), how to offload context safely using scratchpads and external memory, and how to support near-infinite capabilities with a Layered Action Space using ~10 function calls. You will apply Compaction vs Summarization for reversible and irreversible compression, design Agent-as-Tool patterns to hide complex workflows behind clean schemas, isolate agents with Context Quarantine, and reduce confusion with Dynamic Tool Selection (RAG for tools), all guided by 8 Meta Laws for balancing trade-offs.
+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 won’t just understand AI agents you’ll have built them.
Is This Training for You?
✔ For Whom
- Product builders & founders who need intelligent agents that actually work
-
AI engineers and data scientists ready to move beyond prompts and into real-world agent design
-
Developers who want to build full-stack, multi-agent AI systems, not toy projects
-
STEM grads & researchers looking to enter industry with practical, deployable skills
-
Technical professionals shifting into AI-driven roles
✔ Prior Knowledge
-
Python: Basic to intermediate coding required. No need to be an expert.
-
AI/ML Concepts: Familiarity recommended no need for a PhD.
✔ Hardware Requirements
- None: You’ll build everything using Google Colab fully hosted in the cloud. No local setup, no GPU needed.
If that sounds like you, you’re exactly who this training was built for.
Projects You’ll Build:
Full Python code provided.
Mostly Google Colab · Selected projects in VS Code · Cursor
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. Smart Airport Crew ≫ OpenAI Module
Automate Check-In, Passport Control, and Security Check using multi-agent coordination (Swarm) and face detection.
3. Financial Advisor Agent ≫ CrewAI Module
Design an intelligent agent that provides investment advice, personal finance breakdowns, and budget alerts with structured data.
4. Traffic Flow Analyzer ≫ PydanticAI Module
Forecast congestion using real-time data and time series agents with interactive plots and dashboards in Gradio.
5. 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.
6. Geo Intelligence Agent ≫ OpenAI Module
Use Folium to visualize maps, routes, and locations dynamically, ideal for Smart Cities or urban planning.
7. Travel Planner Agent ≫ CrewAI Module
Build a multi-agent system that selects destinations, books hotels, suggests itineraries, and responds via voice (ElevenLabs), all within a Gradio interface.
8. Math & Weather Agent ≫ 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. $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 3 Pro Vision, DeepSeek V3.2, PydanticAI, and LangGraph.
You’ll master world-class AI tools
Pydantic AI, LangGraph, CrewAI, OpenAI, and Swarm, and MCP by building real-world projects.
Why AI Professionals Trust This Training
✱ Trusted by engineers, PhDs, and real-world builders in 90+ countries.
Extraordinary Expertise · Holistic · Comprehensive
Joachim M. Vis
AI Consultant | Germany
⭐⭐⭐⭐⭐
I have just Completed AI Agents Mastery and the Result is Mind-blowing!!
It was with great enthusiasm that I got to know Maryam's extraordinary expertise in the field of AI Agent technology. As an international lecturer of the AI Agents course, Maryam demonstrates a profound theoretical understanding and a special talent for tangibly and understandably communicating complex technologies.
What particularly impressed me was Maryam's holistic approach to AI agent implementation. Maryam combines different framework approaches such as LangGraph, CrewAI and OpenAI Swarm into a coherent overall concept and shows their practical application in a wide range of industries - from aviation to finance and healthcare.
Her course is ideal for getting started in AI Agent development. Maryam provides a solid technical foundation and a valuable overview of various frameworks and their possible applications. I particularly appreciate her open and supportive approach to questions, which makes the learning process so effective.
Exceptional Quality · Well-Chosen Projects · Outstanding Mentor
Tran Chanh Truc
Gen AI Data Scientist | Vietnam
⭐⭐⭐⭐⭐
The AI Agents Mastery 5-in-1 course by Dr. Maryam Miradi clearly reflects an Exceptional Level of Dedication and care in both its Design and Delivery. Beyond the technical depth of the material, what stood out most was the deliberate way the course is structured to support learners at different stages, with common challenges anticipated and addressed proactively. The content feels refined through experience, featuring thoughtful explanations, well-chosen examples, and practical guidance that goes well beyond surface-level instruction.
Equally impactful is Ms. Miradi’s mentorship throughout the learning process, particularly her hands-on support when students get stuck. She consistently demonstrates attentiveness, patience, and a genuine commitment to student success by actively guiding learners through complex concepts, offering clear direction, alternative perspectives, and practical troubleshooting advice. Her responsiveness and willingness to engage deeply with students’ questions—often beyond what is minimally required—creates a supportive and encouraging learning environment. This combination of technical expertise, pedagogical dedication, and genuine mentorship not only accelerates learning but also builds confidence, making the course both professionally enriching and highly motivating.
Excellent Pace · Exceptionally Clear
Bachir Bekkaye
Senior Designer | USA
⭐⭐⭐⭐⭐
Maryam's course, AI Agents Mastery, is excellent. The pace is great, and everything is extremely well explained, especially for someone like me with basic Python knowledge and English as a second language. I've taken several courses before from various platforms, including Udemy, but yours stands out as the best by far hands down.
Deep Expertise ·
Real-World Experience
Maarten Majoor
Senior Data Scientist | Netherlands
⭐⭐⭐⭐⭐
Maryam offers a rare combination of in-depth technical expertise and experience in bringing high profile, complex Data Science solutions to fruition. This makes her a great mentor for both experienced and starting Data Scientists.
Transformative · Hands-On · Clear
Saranya Kamalasekaran
Data Scientist | USA
⭐⭐⭐⭐⭐
I recently completed the AI Agent Mastery course and found it incredibly valuable!
The content was thorough, the instructor was clear and knowledgeable, and the hands-on project was particularly beneficial. I highly recommend this course to anyone looking to enhance their AI skills.
World-Class · Committed · Results-Driven
Penelope Rammos
Senior Data Scientist | Netherlands
⭐⭐⭐⭐⭐
Maryam is genuinely one of the best AI Experts in the World. She goes Beyond Limits to Solve Problems. She invested a lot in her students.
Intuitively Explained · Highly Applicable
Alexander Fox
Senior Director, IT | USA
⭐⭐⭐⭐⭐
Maryam is a clear and thoughtful instructor and a true expert in the field. She explains advanced concepts in a practical, easy-to-understand way. The material is well structured and immediately applicable, and I’m looking forward to continuing to build on what I’ve learned.
Comprehensive · Real-World · Engaging
Shubham Pandey
Generative AI Solution Architect | India
⭐⭐⭐⭐⭐
Comprehensive introduction to the Latest Advancements in Generative AI, with clear explanations and practical examples. The hands-on exercises helped solidify concepts, and the real-world case studies were especially insightful. Overall, it was a well-structured and engaging learning experience.
Practical. Engaging.
Vara Prasad Nittala
Senior Data Consultant | Canada
⭐⭐⭐⭐⭐
I appreciated how Maryam's course, AI Agents Mastery, the Langchain module enhanced my understanding of integrating language models with different data sources, making the course more practical and engaging.
Structured · Flexible · Practical
Amobi Onovo Ph.D
Data Scientist | USA
⭐⭐⭐⭐⭐
In Maryam's course, AI Agents Mastery, LangGraph has Structured examples and CrewAI has Great and flexible tool for agent orchestration.
Accelerating. Clear. Practical
Alexander Sehdeva
Risk Analyst | USA
⭐⭐⭐⭐⭐
In Maryam's course, AI Agents Mastery, Langchain from working through course videos I am still ahead of most of my firm in terms of understanding agents. I demoed some simple react agents and working on fancier stuff. CrewAI is pretty straightforward due to good presentation.
Actionable · Well-Structured
Abraham Akhigbe Ola
SOC Analyst | Germany
⭐⭐⭐⭐⭐
Awesome and very well put together. I can now use the application here to build AI agents for SecOps especially Incident response.
Modular · Structured · Mastery-Driven
Sandipta Narayan Biswas
Sr. Solutions Architect | India
⭐⭐⭐⭐⭐
The structural breaking of the modules and gradually deep diving and finally really, I'm mastering in the subject. Agent-Based Modularity. Task-Oriented Workflow Definition. Human-Like Collaboration Simulation. Multi-LLM Support. Open Source and Extensible.
Expert · Efficient · Solution-driven
Dennis Breed
Process Manager IT | Netherlands
⭐⭐⭐⭐⭐
Maryam is a real expert in Artificial Intelligence and Data Science. She is also a warm and caring person. Her expertise saved us a ton of time every week. She also knows perfectly how to convert a complex question into an AI solution including GUI.
Instructor
Dr. Maryam Miradi - AI Expert, Educator, CEO & Chief AI Scientist
Maryam's 20+ Years in AI
- 20+ Years of Hands-on Experience in AI Experience
- International AI Educator trusted by professionals in 90+ countries
- 200+ Data Scientists are coached by me
- 160+ Projects in 12 Different Industries
- PhD in AI - Machine Learning & Deep Learning
- Best European AI Researcher in Future Vision
- 5 International Awards, 25 Publications & Books
- Author AI Agents: 50 Best Practices
I designed this Training course based on my 20+ years of hands-on AI experience so you can skip the fluff and build real-world AI Agents that actually work.
Choose 5-in-1 Full-Stack
or start with single module.
✱ Get Best Results · Save 56%
AI Agents Mastery
5-in-1 | Full-Stack
Pydantic AI · LangGraph · CrewAI · OpenAI Swarm · MCP (Model Context Protocol)
▶ Enroll NOW!