Master Open-Source AI: Build Powerful Apps with Ollama

What you will learn:

Deploy and manage AI models locally using Ollama.
Build real-world AI apps with LLaMA 3, Mistral, CodeLlama, and more.
Master NLP tasks: text summarization, content generation, and document analysis.
Develop AI-powered chatbots and virtual assistants.
Generate, debug, and improve code with AI assistance.
Integrate AI models into full-stack web applications (FastAPI, Python).
Automate business processes and boost personal productivity.
Process and analyze real-time data using external APIs.
Optimize AI models for improved performance and accuracy.
Fine-tune prompts and handle API responses effectively.

Description

Unlock the power of open-source AI! This comprehensive course guides you through building real-world AI applications using Ollama and cutting-edge models like LLaMA 3, Mistral, and CodeLlama. Whether you're a coding novice or an experienced developer, you'll gain practical, hands-on experience developing intelligent solutions.

Learn to effortlessly deploy and manage powerful AI models locally using Ollama, eliminating the need for expensive cloud APIs. This course goes beyond theory, focusing on building functional projects, including AI-powered chatbots, content generators, and automated systems. You'll master natural language processing (NLP), code generation, and the integration of AI into web applications using FastAPI and Python.

We'll cover essential skills, including prompt engineering, model optimization, and the efficient deployment of AI applications. Build a diverse portfolio of projects, such as an AI news summarizer, an intelligent legal assistant, and an automated API tester. Explore advanced techniques like real-time data processing with APIs, integrating AI into financial report analysis, and automating recruitment processes.

This course is designed for developers, data scientists, entrepreneurs, and AI enthusiasts eager to bridge the gap between AI research and real-world application. Master full-stack AI development, unlock the potential of LLMs, and build the future of intelligent systems. Join now and transform your AI skills!

Curriculum

Ollama Setup & Initial AI Project

This introductory section begins with an overview of Ollama, its installation, and configuration. You'll then dive straight into building your first AI project: a functional AI-powered chat assistant. This section provides a solid foundation in using Ollama, setting up your development environment (including Python), and understanding how to interact with AI models. Specific lectures cover Ollama's features, Python integration, and practical implementation of your first AI application.

Advanced NLP & LLM Applications

This section delves into the world of Natural Language Processing (NLP) and Large Language Models (LLMs). You'll build several sophisticated AI applications using various top-tier models. These projects will allow you to develop practical skills such as creating an AI-powered text summarizer (using Mistral), generating content with LLaMA 3, and building a code generator/debugger with CodeLlama. You'll also create tools for grammar and spell checking (DeepSeek), analyze legal documents (Phi-2), and build a real-time news summarizer (Qwen 2.5).

Deal Source: real.discount