AI Agents for beginners

Description: Master the art of building intelligent AI agents from the ground up. This comprehensive course takes you from understanding Large Language Models (LLMs) to deploying sophisticated AI agents that can autonomously complete complex tasks. Whether you're a developer, entrepreneur, or AI enthusiast, you'll gain hands-on experience with cutting-edge tools and techniques used by industry professionals to create powerful AI systems.

Key Highlights:

• Comprehensive LLM Foundation - Master both theoretical concepts and practical implementation of Large Language Models
• Hands-on API Integration - Work with industry-standard APIs including OpenAI and Groq for real-world applications
• Local AI Development - Learn to run and fine-tune LLMs on your own hardware for privacy and cost efficiency
• Advanced Agent Architecture - Build sophisticated multi-agent systems using LangGraph and modern orchestration frameworks
• Real-world Projects - Create functional AI agents that solve actual business problems and automate complex workflows

What You Will Learn:

🧠 LLM Fundamentals & Strategy

• Introduction to Large Language Models - Understand transformer architecture, training processes, and capabilities of modern LLMs
• Open Source vs Paid Models - Compare performance, costs, and use cases for models like GPT-4, Claude, Llama, and Mistral
• Model Selection Framework - Learn when to choose different models based on your specific requirements and constraints

🛠️ Practical Implementation

• OpenAI API Mastery - Implement chat completions, embeddings, function calling, and advanced features like structured outputs
• Groq API Integration - Leverage ultra-fast inference speeds for real-time applications and high-throughput scenarios
• LLM Configuration & Optimization - Master temperature, top-p, tokens, system prompts, and other critical parameters for optimal performance

💻 Local AI Development

• Running LLMs Locally - Set up and deploy models using Ollama, LM Studio, and other local inference solution

✨ Advanced Prompt Engineering

• Prompt Design Principles - Master zero-shot, few-shot, and chain-of-thought prompting techniques
• Structured Output Generation - Create reliable JSON, XML, and custom format outputs for system integration
• Prompt Optimization - Iterate and improve prompts for consistency, accuracy, and cost-effectiveness

🤖 AI Agent Architecture

• LangGraph Framework - Build complex multi-step workflows with conditional logic, loops, and error handling
• Agent Memory Systems - Implement short-term and long-term memory for contextual conversations and learning
• Tool Integration - Connect agents to external APIs, databases, and services for enhanced capabilities

🚀 Real AI Agent Projects

• Customer Service Agent - Build an intelligent support system that handles inquiries, escalates issues, and maintains conversation history
• Research & Analysis Agent - Create an agent that gathers information, synthesizes findings, and generates comprehensive reports and many others......

Prerequisites: Basic programming knowledge (Python recommended) and familiarity with APIs. No prior AI or machine learning experience required.

Course Format: Hands-on tutorials, real-world projects, and practical exercises with downloadable code examples and resources.

Our hands-on approach ensures you gain practical experience while learning theory.