AI Agents for Everyone Build with Mistral, LLaMA, ChatGPT, and Smart APIs
Create powerful AI agents with Mistral, LLaMA, ChatGPT & smart APIs—no coding needed! Build, customize & deploy easily.
July
18,
2025
12:00 PM - 02:00 PM (Eastern Time)
Duration: 1 Day
Hours: 2 Hours
Training Level: All Levels
About the Course:
AI agents are no longer just research prototypes—they are practical, buildable systems that can automate workflows, reason over data, and interact with users and tools. In "AI Agents for Everyone: Build with Mistral, LLaMA, ChatGPT, and Smart APIs", you’ll learn how to create intelligent agents using top open-source and commercial language models. The course demystifies AI agent architectures and shows how to integrate models like Mistral, LLaMA, and ChatGPT with tools and APIs to build useful, real-world automations. No prior AI expertise is required—just curiosity and a willingness to build.
Course Objective:
By the end of this course, participants will:
- Understand what AI agents are and how they differ from traditional chatbots.
- Learn the core components of agent systems: reasoning, memory, tools, and actions.
- Build lightweight agents using ChatGPT, Mistral, and LLaMA models.
- Connect agents to Smart APIs (e.g., weather, calendar, search, custom tools).
- Explore tool use with LangChain, OpenAI functions, and other agent frameworks.
- Evaluate when to use open-source models (like Mistral/LLaMA) vs. cloud services (like OpenAI/Gemini).
- Understand challenges like hallucinations, latency, cost, and alignment in agent design.
Who is the Target Audience?
This course is ideal for:
- Developers and Software Engineers
- Product Builders, Hackers, and Startups
- Tech-savvy Business Professionals
- Educators and Researchers exploring agent-based AI
- Anyone interested in hands-on AI agent development without deep ML expertise
Basic Knowledge:
- Basic knowledge of Python and APIs is helpful, but not required.
Curriculum
Total Duration: 2 Hours
Module 1: AI Agents 101 - What, Why, and How
- What are AI agents?
- Agents vs. chatbots vs. assistants
- Real-world use cases: scheduling, data extraction, automation, customer support
- Models in focus: Mistral, LLaMA, ChatGPT (OpenAI), Claude, etc.
Module 2: Building a Simple Agent with ChatGPT
- Using ChatGPT + OpenAI Functions (tool use)
- Calling external APIs (weather, email, calendar) with agent logic
- Memory, reasoning, and output formatting
- Hands-on: Build a simple task automation agent (e.g., "Daily Briefing Agent")
Module 3: Open-Source Models in Agents - Mistral & LLaMA
- Running local models via Ollama or Hugging Face
- Tooling: LangChain, LangGraph, or CrewAI
- Prompt engineering and memory handling in constrained models
- Hands-on: Building a local agent with Mistral or LLaMA + Python tools
Module 4: Smart API Integration
- Connecting to real-world APIs: Notion, Slack, GitHub, email, Airtable, custom REST APIs
- Securely handling authentication and tokens
- Designing smart tool-using agents with function calling
- Example: "Bug Triage Assistant" or "Auto-email Generator"
Module 5: Evaluation, Deployment, and Best Practices
- Evaluating agent performance (accuracy, latency, reliability)
- Tips for reducing hallucinations and improving grounding
- Deployment options: web apps, chat interfaces, background jobs
- When to choose open-source vs hosted models
Q&A and Wrap-Up
- Showcasing participant ideas
- Discussion on agent safety and scaling
- Next steps: resources, frameworks, and community projects