Just Enough Gen AI + Agents
Build intelligent AI agents from scratch. Learn AI fundamentals, then create production-ready agents through hands-on projects.
For experienced developers ready to master AI agent development.
Who is This Course For?
This live cohort course is designed for experienced developers who want to build AI agents and autonomous systems.
Required Experience
- Professional software development experience
- Basic knowledge of any programming language
- Familiarity with REST APIs
- Familiarity with Git and GitHub
- Basic understanding of databases (SQL or NoSQL)
What You'll Learn
A comprehensive curriculum covering AI fundamentals and advanced agent development
GenAI Fundamentals
- Vector embeddings and distance functions
- RAG (Retrieval Augmented Generation)
- LLM APIs, prompting, and pricing
Building Agents
- Build agents without frameworks using REST APIs
- Use frameworks like OpenAI Agent SDK and Google ADK
- Create real-world agents: data analyst, on-call agents, browser automation
- Build multi-agent systems and implement guard rails
Production & Advanced Topics
- MCP servers: using and creating them
- Cost optimization for running agents
- Deploy and observe agents
Course Curriculum
Build real AI agents throughout the course. Start with GenAI fundamentals, then build agents without frameworks, use frameworks, and create production-ready agents.
GenAI: Crash Course
A fast paced developer focused crash course on Gen AI fundamentals before we jump into AI Agents
Lessons:
Vector Embeddings & Distance Function
A practical map for navigating the illusion that you actually have any agency at all.
RAG: Retrieval Augmented Generation
RAG
LLM keywords, Prompting, API, Pricing Deep Dive
LLM
Build AI Agents Without any frameworks
Hands on deep dive into building AI Agents without
Lessons:
Math Solver using just using REST APIs
Math Solver
File Classifier using just REST APIs
File Classifier
Tool Calling standardization and Open AI Agent SDK
Tool calling standardization and Open AI Agent SDK framework
Pricing: Cost of Running an AI Agent
Understand and estimate the cost of running AI agents: token usage, API pricing, and how to optimize spend.
MCP Servers: Using and Creating Them
Accepting that whatever path you choose has no bearing on where you'll go.
Build AI Agents using Frameworks
Hands on deep dive into building AI Agents using frameworks
Lessons:
Open AI Agent SDK
Open AI Agent sdk
Google ADK
Google ADK
MCP Servers: Using and Creating Them
Accepting that whatever path you choose has no bearing on where you'll go.
Real-World Agents
Agents in the real world
Lessons:
Data Analyst Agent
analyst
Multi Agent Systems
multiple agents working as a team
Guard Rails
Guard Rail for AI Agents
Production Issue Fixer / OnCall Agent
monitors production alerts, fixed them and raises a PR for human review
Browser Use Agent
A lack of control can make you anxious, but realize this has no bearing on outcomes.
Advanced & Production Topics
OpenClaw architecture, voice agents, messaging integrations, and coding agents
Lessons:
Agent skill: programmatic tool calling
Build agent skills using programmatic tool calling.
OpenClaw internal architecture and deployment
Understand OpenClaw internals and deploy it in production.
Build your own voice agent using Sarvam AI and Eleven Labs
Create voice-enabled AI agents with Sarvam AI and Eleven Labs.
Connect your agent to Telegram or Slack
Integrate your agent with Telegram or Slack.
Create your own coding agent
Build an agent that can write and execute code.
About the Instructor
Deepak Mishra
Developer, Founder & Course Instructor
Bachelors from NIAMT, Ranchi and MS from IIIT Hyderabad.
Worked for big tech — CA Inc, Oracle. Worked in blockchain startup on the database team at Hedera Hashgraph.
Created Sorted Chat, a Go-lang open source self-hosted agentic chat platform.
Currently working on an agentic platform for hosting and observing AI Agents.
Course Preview
Get a taste of our teaching style with these introduction videos
Course Overview & AI Fundamentals
A guided tour of what you'll learn in this course. Understand the target audience, get clarity on AI buzzwords, and preview the crash course on Vector Embeddings, Similarity Search, and RAG before diving into AI Agent concepts.
Tool Calling & Arithmetic Solver Agent
Learn how to build agents that can call tools and solve arithmetic problems intelligently.
Short-term Memory & Data Analyst Agent
Discover how to implement memory in agents and build data analysis capabilities using Google SDK.
MCP, Deep Research & RCA Agents
Explore advanced topics including MCP, deep research agents, infrastructure RCA agents using OpenAI SDK, A2A protocol, and reinforcement learning.
Career Benefits
How this course will advance your career in AI and software development
High-Demand Skills
- AI agent development is one of the fastest-growing fields in tech
- Companies are actively hiring developers with agent expertise
- Competitive salaries for AI agent specialists
Career Advancement
- Transition from traditional development to AI-focused roles
- Position yourself for senior AI engineer or AI architect roles
- Build a portfolio of real-world AI agent projects
Future-Proof Your Career
- Stay ahead of the curve in the rapidly evolving AI landscape
- Gain skills that will be essential for the next decade of software development
- Join a growing community of AI agent developers
Entrepreneurship Opportunities
- Build AI-powered products and services
- Create automation solutions for businesses
- Start your own AI consulting or development agency
Deep Technical Knowledge
- Understand AI fundamentals from the ground up
- Learn to build agents without relying on frameworks
- Gain confidence to tackle any AI agent challenge
Industry Recognition
- Add cutting-edge skills to your resume
- Stand out in job interviews with practical AI agent experience
- Demonstrate expertise in the latest AI technologies
Why Learn AI Agents Now?
Growing Demand
- AI agents are revolutionizing automation and decision-making across industries
- High demand for agent development skills in the job market
- Early adopters have a significant advantage in this emerging field
Practical Applications
- Build autonomous systems that can solve complex tasks
- Create intelligent assistants and automation tools
- Develop solutions for real-world business problems
Future-Ready Skills
- Stay ahead in the rapidly evolving AI landscape
- Learn skills that will be crucial for future AI development
- Be part of shaping the future of autonomous systems