Zero to Pro! Agentic AI MCP + Swarms Mastra AI, LangChain

AI agent swarms and MCP in Python, Golang, and Mastra AI, typescript + OpenAI pyPDF OCR

What you'll learn
- Learn how to build MCP Agents, Agent Swarms, and Sequential Agents for enterprise and startup use.
- Learn how to use Python in a way that that is asynchronous, so they can have massively parallel Ai Agents.
- Learn to use GoLang to easily build large AI agent swarms that can scale to thousands of agents, to do a tast in parallel, with orchestration
- Architect multi-agent systems that run safely, effectively and suitable for enterprise or startup deployment

Requirements
- python familiarity, basic coding principles, experience using ChatGPT
- Ideal if the person has already has used ChatGPT API before.
- Will need a ChatGPT API key with $5 on it since all the AI agents in the course can use the Chatgpt API

Description
This course is your gateway to mastering the development ofAI agents—autonomous, goal-oriented systems capable of multi-step reasoning, decision-making, and seamless integration with modern tech stacks. From deploying full-stack AI applications to leveragingRetrieval-Augmented Generation (RAG)for advanced document processing, you’ll gain practical expertise through real-world projects like aFootball Player Value Analyzer, aNeuro ICU Seizure Prediction System, and aCalendar Agentpowered by Google Vertex AI. With a focus onPython,Go,FastAPI,React,LangChain,LangGraph, andcloud-based tools, this course prepares you to build scalable, enterprise-ready AI solutions that drive impact.

Why Take This Course?

The demand for AI expertise is skyrocketing, with industries seeking professionals who can harnessAgentic AIto automate workflows, enhance decision-making, and unlock new opportunities. This course stands out by offering:

Hands-On Learning: Build real-world projects, including a full-stack AI startup website, an MLOps pipeline, and an AI-powered calendar agent, ensuring you gain practical, portfolio-ready experience.

Cutting-Edge Tools: Master industry-standard technologies likePython,Go,FastAPI,React Next.js,Docker,GitHub Actions,PyTorch, andGoogle Vertex AI, alongside emerging frameworks likeLangChain,LangGraph, andMastra Ai.

Enterprise Focus: Learn to address complex use cases inM&A document analysis,healthcare seizure prediction, andMLOps workflows, preparing you for high-demand roles in AI-driven industries.

Scalable Architectures: Exploreagent swarm architectures,event-driven systems, andmulti-channel protocol (MCP)designs to build robust, scalable AI solutions.

Comprehensive Curriculum: With over 80 lectures across 12 sections, this course covers everything from foundational concepts to advanced agent orchestration, ensuring a deep and thorough understanding.

Downloadable Resources: Access complete source code, real-world case studies, and expert insights to accelerate your learning and project development.

Career Transformation: Position yourself as a leader in AI development, ready to tackle roles likeAI Engineer,Data Scientist,Full-Stack Developer, orCloud Engineer.

Whether you're a developer looking to upskill, a data scientist aiming to integrate AI into your workflows, or an entrepreneur building the next big startup, this course provides the tools and knowledge to succeed in the rapidly evolving AI landscape.

What You’ll Learn

This course is structured to take you from foundational AI concepts to advanced agent development, with a focus on practical, enterprise-ready applications. By the end, you’ll be able to:

Develop Full-Stack AI Applications: Build and deploy AI-driven websites usingGolangfor backend and frontend, integrated withblob storagefor scalable data management.

Create AI-Powered Agents: Design autonomous agents withChatGPT API,Streamlit, andLangChainfor tasks like competitive analysis in pharmaceuticals and M&A document processing.

Master MLOps Pipelines: ImplementCI/CD pipelinesusingGitHub Actions,Docker,PyTorch, and tools likeBlackandFlake8to ensure robust, scalable machine learning workflows.

Leverage Retrieval-Augmented Generation (RAG): Process structured and unstructured data (PDFs, CSVs, JSON) usingPyPDF2,PDFPlumber, andvector databasesfor enhanced query responses with LLMs.

Build Scalable Agent Swarms: Createevent-driven architectureswithGo routines,MCP frameworks, andLangGraphfor multi-agent collaboration and workflow automation.

Integrate Cloud APIs: UseGoogle Vertex AI,Google Calendar API, andOpenAI APIsto build intelligent agents for tasks like calendar management and football player valuation.

Compare Python and Go: Understand the strengths and trade-offs ofPythonandGofor AI agent development, focusing on performance, scalability, and deployment.

Implement Multimodal AI Systems: Combine text and image processing withMastra AiTypeScript, andZodfor advanced M&A workflows and operational analysis.

Optimize Performance: Learn techniques likebatching,prompt engineering, andhorizontal scalingto reduce costs and improve efficiency in agent-based systems.

Course Highlights

Real-World Projects

Apply your skills to practical, industry-relevant projects:

Football Player Value Analyzer: UseTransfermarkt API,OpenAI GPT, andGoto analyze player data and generate accurate valuations.

Neuro ICU Seizure Prediction System: Build anEEG inference frameworkwithFastAPI,Python, andONNXfor real-time healthcare applications.

Calendar Agent with Google Vertex AI: Create an AI-driven calendar agent usingGoogle Calendar APIandVertex AIfor natural language event management.

M&A Document Processing Agent: ImplementRAGwithPyPDF2,PDFPlumber, andvector databasesto analyze complex documents for mergers and acquisitions.

Comprehensive Curriculum

With12 sections and 81 lectures, this course covers:

Full-Stack AI Development: Deploy websites withGolang,React Next.js, andFastAPIfor enterprise-grade applications.

AI Agent Development: Build autonomous agents usingChatGPT API,Streamlit, andLangChainfor goal-oriented tasks.

MLOps Workflows: Streamline machine learning pipelines withPyTorch,Docker, andGitHub Actionsfor CI/CD.

Document Processing with RAG: Process PDFs, CSVs, and JSON withPyPDF2,PDFPlumber, andvector databases.

Enterprise Healthcare Solutions: DevelopNeuro ICU monitoring systemswithasyncio,FastAPI, andWebSockets.

Multi-Channel Protocol (MCP) Agents: Build scalable AI agents withPython,Go, andSimPyfor enterprise automation.

Google Cloud Integration: Create calendar agents withVertex AIandGoogle Calendar APIfor seamless event management.

Agent Swarm Architectures: Implementevent-driven systemsandmulti-agent collaborationwithGo routinesandLangGraph.

TypeScript and Mastra ai: Build advanced agents withTypeScript,Zod, andMastra aifor M&A workflows.

Performance Optimization: Optimize agent swarms withbatching,caching, andprompt engineering.

Downloadable Resources

Source Code: Access complete, production-ready code for all projects via GitHub.

Case Studies: Learn from real-world examples inM&A,healthcare, andMLOps.

Mermaid Diagrams: Visualize agent architectures and workflows for better understanding.

Requirements Files: Get pre-configuredrequirements.txtand setup scripts for quick deployment.

Who Should Enroll?

This course is designed for:

Developers and Programmers: Looking to masterPython,Go,FastAPI, andReactfor AI-driven applications.

Data Scientists: Seeking to integrateAgentic AIandMLOpsinto their workflows for enterprise solutions.

IT Professionals: Aiming to build and deploy scalable AI systems usingDocker,GitHub Actions, andcloud APIs.

Entrepreneurs and Startup Founders: Wanting to create AI-powered MVPs and POCs for innovative products.

Career Changers: Aspiring to enter high-demand roles likeAI Engineer,Full-Stack Developer, orCloud Engineer.

Prerequisites:

Basic knowledge ofPythonorGoprogramming.

Familiarity with web development concepts (e.g., APIs, front-end/back-end).

Interest in AI, machine learning, or enterprise solutions.

No prior experience withAgentic AIorcloud toolsis required—this course starts with foundational concepts and builds to advanced topics.

Why This Course Stands Out

Practical Focus: Every lecture includes hands-on coding, real-world case studies, and downloadable resources to ensure you can apply what you learn.

Industry-Relevant Skills: Covers in-demand technologies and frameworks used by top companies inAI,healthcare, andfinance.

Expert Instruction: Learn from instructors with deep experience inAI development,MLOps, andenterprise workflows.

Future-Proof Content: Stay ahead with cutting-edge tools likeLangChain,LangGraph,Mastra Ai, andGoogle Vertex AI.

Community and Support: Join a community of learners, access Q&A sessions, and get expert feedback to accelerate your learning.

Transform Your Career with AI

The AI revolution is here, andAgentic AIis at its forefront, transforming industries fromhealthcaretofinancetostartups. By mastering the skills in this course, you’ll be ready to:

Buildproduction-ready AI applicationsthat solve real-world problems.

Secure high-demand roles inAI engineering,data science, orcloud architecture.

Launch your ownAI-driven startupwith confidence and expertise.

Stay ahead in the competitive job market with cutting-edge, in-demand skills.

Enroll now to unlock the power ofGenerative AIandAgentic AI, and take the first step toward transforming your career. With over 20 hours of content, hands-on projects, and expert guidance, this course is your path to becoming an AI leader.Join today and build the future of work!

Who this course is for:
- beginners to advanced developers who want to use the the latest AI technologies
- CTOs and CEOs looking to add agents to their company with minimal overhead or difficulty
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