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