Build Real AI Applications: Full-Stack with Ollama

The course ‘IA Full-Stack avec Ollama: Llama, DeepSeek, Mistral’ offers an ultimate practical training to learn how to develop and deploy real AI applications using the newest open-source models. Designed for both curious beginners and experienced developers, it features practical projects that integrate language models (LLMs) into web applications, automation tools, and advanced AI-driven solutions.

Throughout the course, you will learn how 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 hands-on experience in natural language processing (NLP), text generation, code completion, debugging, document analysis, sentiment analysis, and AI automation. Enriched with practical projects, you’ll create an intelligent news summary, an AI-assisted proofreading tool, a customer support chatbot, and an intelligent assistant to automate business tasks.

You will also learn to fetch and process real-time data via APIs, perfect for creating AI applications that analyze current information flows. Projects include building a real-time news summarizer, a financial report analyzer, and an automated application analysis tool. By the end of the course, you will have completed several AI projects covering full-stack development, text processing, natural language understanding, chatbots, AI automation, and LLM-based applications. You will be ready to deploy AI models in production apps and leverage the most advanced AI technologies to create smart solutions. This course is aimed at developers, data scientists, entrepreneurs, researchers, and AI enthusiasts, teaching you to design web applications with AI, integrate NLP models, and automate tasks using AI-driven tools.

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 processing: summarize, generate, and extract information from texts.
• Develop AI assistants: chatbots, customer support, personal assistants.
• Generate and correct code with CodeLlama to boost your productivity.
• Integrate AI into web apps with FastAPI and a reactive interface.
• Automate tasks: emails, reports, and CV 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 – Some familiarity with Python is useful but not required. We will guide you through the coding process.
• Basic understanding of AI and Machine Learning – No ML expertise is needed, 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 – Looking to create AI-based products? This course offers practical projects to kickstart your AI journey.
• Data analysts and researchers – Want to extract information from legal documents, articles, or customer reviews? Learn to efficiently 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 practical experience deploying AI models.
• Developers and programmers – Want 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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