Dive into Full-Stack AI Development with Ollama

IA Full-Stack avec Ollama: Llama, DeepSeek, Mistral is the ultimate practical training course designed to teach you how to develop and deploy real-world AI applications using the latest open-source models. Whether you’re a curious beginner in artificial intelligence or an experienced developer, this course offers hands-on projects that seamlessly integrate language models (LLMs) into web applications, automation tools, and advanced AI-driven solutions.

Throughout the course, you’ll learn to install, configure, and use Ollama to run powerful models locally without relying on costly cloud APIs. You will work with LLaMA 3, DeepSeek, Mistral, Mixtral, QwQ, Phi-2, MedLlama2, Granite3.2, and CodeLlama, gaining invaluable experience in natural language processing (NLP), text generation, code completion, debugging, document analysis, sentiment analysis, and AI automation.

The course is rich with practical projects, where you will create an intelligent news summarizer, an AI-assisted proofreading tool, a customer support chatbot, and an intelligent assistant to automate business tasks. Each project provides a comprehensive experience with FastAPI, Python, Ollama, and REST APIs, enabling you to master full-stack AI development. By the end of the course, you will have built several AI projects covering full-stack development, text processing, NLP comprehension, chatbots, AI automation, and LLM-based applications, preparing you to deploy AI models into production-ready applications.

What you will learn:

• Deploy AI models: Install, configure, and run them with Ollama.
• Create AI apps: Use LLaMA 3, Mistral, CodeLlama, Mixtral, and DeepSeek-R1.
• Perform NLP tasks: Summarize, generate, and extract info from texts.
• Develop AI assistants: Chatbots, customer support, personal assistants.
• Generate and debug code with CodeLlama to boost productivity.
• Integrate AI into web apps with FastAPI and a responsive interface.
• Automate tasks: Emails, reports, and resume creation.
• Analyze real-time data from APIs and AI models.
• Optimize model performance with precise prompts and responses.

Course Content:

• Sections: 3
• Lectures: 17
• Duration: 4h 29m

Requirements:

• Basic programming knowledge – Familiarity with Python is useful but not mandatory. We will guide you through coding.
• Basic understanding of AI and Machine Learning – No ML expertise is required, but understanding how AI models work is a plus.

Who is it for?

• Students and self-learners – Interested in AI but don’t know where to start? This course requires no prior experience and will guide you step by step.
• Startup founders and AI innovators – Want to create AI-based products? This course offers practical projects to kickstart your AI journey.
• Data analysts and researchers – Want to extract insights from legal documents, articles, or customer reviews? Learn to effectively analyze large text datasets.
• Tech entrepreneurs and product managers – Need to develop AI applications for your business? Learn to create chatbots, content generators, and automation tools.
• AI and machine learning enthusiasts – Interested in models like LLaMA 3, Mistral, Mixtral, CodeLlama, and DeepSeek-R1? Gain hands-on experience in deploying AI models.
• Developers and programmers – Looking to integrate AI into your web apps or software projects? This course will teach you to create full-stack AI applications with Python and FastAPI.

What are you waiting for to get started?

Enroll today and take your skills to the next level. Coupons are limited and may expire at any time!

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