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You will gain the skills to master AI and Large Language Models (LLMs), focusing on Generative AI (GenAI) and Retrieval-Augmented Generation (RAG). Through hands-on projects, you’ll build AI applications that process large datasets and generate meaningful outputs. By the end, you'll develop AI systems capable of understanding context, generating content, and integrating with various data sources.
The course begins with setting up your development environment and reviewing Python fundamentals. You’ll then learn about LLMs, GenAI, and RAG architecture, before moving on to building and fine-tuning AI models. Topics include prompt engineering, API integration, and creating chatbots, summarizers, and personalized AI models.
Designed for developers, data scientists, and AI enthusiasts, this course is for those with basic programming knowledge who want to explore advanced AI techniques.
By the end, you'll be able to set up your environment, build LLM-based applications, and integrate RAG for AI-driven solutions.
Projet d'apprentissage appliqué
Throughout the specialization, you’ll work on projects that provide hands-on experience in AI application development. These include building AI systems using Python, implementing LLMs and GenAI, creating chatbots, and designing Retrieval-Augmented Generation (RAG) systems. You'll apply your learning to practical tasks such as summarizing news articles, building voice assistants, and optimizing AI models using fine-tuning techniques. These projects will help you solve real-world problems and prepare for roles in the rapidly evolving AI field.
