Development

Mistral AI Development: AI with Mistral, LangChain & Ollama

Course Overview

  • Course Title: Mistral AI Development: AI with Mistral, LangChain & Ollama
  • Instructor: Vivian Aranha
  • Target Audience:
    • AI Developers & ML Engineers
    • Python Programmers & Software Engineers
    • Tech Entrepreneurs & Startups
    • Cybersecurity Professionals & Privacy-Conscious Users
    • Data Scientists & Researchers
    • Students & AI Enthusiasts
  • Prerequisites:
    • Basic Python knowledge is recommended but not required.
    • Familiarity with APIs and HTTP requests is helpful but optional.
    • A computer with at least 8GB RAM (16GB recommended for better performance).
    • Windows, macOS, or Linux with Python 3.8+ installed.
    • Basic understanding of AI concepts is a plus but not mandatory.
    • Admin access to install necessary tools like FastAPI, Streamlit, and ChromaDB.
    • A stable internet connection to download required models and dependencies.

Curriculum Highlights

  • Key Topics Covered:
    • Setting up and configuring Mistral AI & Ollama locally for AI-powered applications.
    • Extracting and processing text from PDFs, Word, and TXT files for AI search.
    • Converting text into vector embeddings for efficient document retrieval.
    • Implementing AI-powered search using LangChain and ChromaDB.
    • Developing a Retrieval-Augmented Generation (RAG) system for better AI answers.
    • Building a FastAPI backend to process AI queries and document retrieval.
    • Designing an interactive UI using Streamlit for AI-powered knowledge retrieval.
    • Integrating Mistral AI with LangChain to generate contextual responses.
    • Optimizing AI search performance for faster and more accurate results.
    • Deploying and running a local AI-powered assistant for real-world use cases.
  • Key Skills Learned:
    • Mistral AI & Ollama configuration
    • Text extraction and processing
    • Vector embeddings for document retrieval
    • AI-powered search implementation
    • Retrieval-Augmented Generation (RAG) system development
    • FastAPI backend development
    • Interactive UI design with Streamlit
    • AI search performance optimization
    • Local AI-powered assistant deployment

Course Format

  • Duration: 2 hours on-demand video
  • Format: Self-paced online course
  • Resources:
    • Access on mobile and TV
    • Certificate of completion
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