AI Agents for Everyone Build with Mistral, LLaMA, ChatGPT, and Smart APIs
-
Training TypeLive Training
-
CategoryArtificial Intelligence
-
Duration2 Hours
-
Rating4.7/5
Course Introduction
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.
Available Batches
| 18 Jul 2025 | Fri ( 1 Day ) | Filling Fast12:00 PM - 02:00 PM (Eastern Time) |
| 18 Aug 2025 | Mon ( 1 Day ) | 12:00 PM - 02:00 PM (Eastern Time) |
| 16 Sep 2025 | Tue ( 1 Day ) | 12:00 PM - 02:00 PM (Eastern Time) |
Pricing
Require a Different Batch?
Request a Batch For
-
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.
-
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")
-
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
-
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"
-
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
-
Showcasing participant ideas
-
Discussion on agent safety and scaling
-
Next steps: resources, frameworks, and community projects