AI Agent Development

Master the art of building intelligent AI agents from scratch. Start with AI fundamentals (Vector embeddings, RAG, and LLMs), then build agents. Learn through hands-on projects and real-world case studies.

$349$49930% OFF

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.

What You'll Learn

AI Fundamentals

  • Vector embeddings and semantic understanding
  • RAG (Retrieval Augmented Generation) systems
  • Large Language Models and their capabilities

Core Agent Concepts

  • The agent loop and architectures
  • Tool calling and integration
  • Agent memory and state management

Practical Skills

  • Build your first agent without frameworks
  • Multi-modal agents (image and voice input)
  • LangGraph for complex agent workflows
  • Agent cost optimization and deployment
  • Agent observability and monitoring

Why Learn AI Agents Now?

Growing Demand

  • AI agents are revolutionizing automation and decision-making
  • High demand for agent development skills in the job market

Practical Applications

  • Build autonomous systems that can solve complex tasks
  • Create intelligent assistants and automation tools

Future-Ready Skills

  • Stay ahead in the rapidly evolving AI landscape
  • Learn skills that will be crucial for future AI development

Course Content

1. AI Fundamentals for Agents

  • Vector embeddings and semantic understanding
  • RAG (Retrieval Augmented Generation) systems
  • Large Language Models (LLMs) and their capabilities

2. Agent Fundamentals

  • Understanding the agent loop and architectures
  • Tool calling and integration patterns
  • Memory and state management techniques

3. Building Your First Agent

  • Hands-on project: Building an agent from scratch
  • Implementing tool calling and memory
  • Testing and debugging agent behavior

4. Multi-Modal Agent Development

  • Image and voice as input for agents
  • Processing visual and audio data
  • Building agents that understand multiple modalities

5. Agent Frameworks & Tools

  • Popular agent frameworks and tools
  • LangGraph for complex agent workflows
  • Agent observability and monitoring

6. Production & Deployment

  • Cost optimization for running agents
  • Deploying agents to production environments
  • Scaling and performance considerations

7. Advanced Topics

  • Real-world case studies and applications
  • Reinforcement learning: AI learns to play games and win
  • MCP and A2A protocol implementation

Limited Time Offer!

$349$49930% OFF

Don't miss this opportunity to master AI agent development!

Register Now
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