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IA Full-Stack avec Ollama : Llama, Deepseek, Mistral, QwQ

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IA Full-Stack avec Ollama : Llama, DeepSeek, Mistral, QwQ, Phi-2, MedLlama2, Granite3.2 est la formation pratique ultime pour apprendre à développer et déployer des applications d’IA concrètes en utilisant les derniers modèles open-source. Que vous soyez débutant curieux de l’intelligence artificielle ou développeur expérimenté, ce cours vous propose des projets concrets pour intégrer des modèles de langage (LLMs) dans des applications web, des outils d’automatisation et des solutions avancées pilotées par l’IA.Tout au long du cours, vous apprendrez à installer, configurer et utiliser Ollama pour exécuter localement des modèles puissants sans dépendre des APIs cloud coûteuses. Vous travaillerez avec LLaMA 3, DeepSeek, Mistral, Mixtral, QwQ, Phi-2, MedLlama2, Granite3.2 et CodeLlama, en acquérant de l'expérience dans le traitement du langage naturel (NLP), la génération de texte, la complétion de code, le débogage, l’analyse de documents, l’analyse de sentiments et l’automatisation par IA.Le cours est riche en projets pratiques.

Vous développerez un résumé intelligent de l’actualité, un outil de relecture assisté par IA, un chatbot de support client, ainsi qu’un assistant intelligent pour automatiser les tâches métiers. Chaque projet vous offre une expérience complète avec FastAPI, Python, Ollama et les REST APIs, pour maîtriser le développement full-stack en IA.Vous apprendrez également à récupérer et traiter des données en temps réel via des APIs, ce qui est idéal pour créer des applications IA qui analysent des flux d’information actuels. Vous réaliserez un résuméur d’actualités en temps réel, un analyseur de rapports financiers, et un outil d’analyse automatisée de candidatures.À la fin du cours, vous aurez construit plusieurs projets d’IA couvrant le développement full-stack, le traitement de texte, la compréhension du langage naturel, les chatbots, l’automatisation par IA et les applications à base de LLMs.

Vous serez prêt à déployer des modèles IA dans des applications en production et à exploiter les technologies IA les plus avancées pour créer des solutions intelligentes.Ce cours s’adresse aux développeurs, data scientists, entrepreneurs, chercheurs et passionnés d’IA. Vous apprendrez à concevoir des applications web avec IA, intégrer des modèles NLP, et automatiser des tâches à l’aide d’outils pilotés par l’IA.Si vous êtes prêt à faire passer vos compétences en IA au niveau supérieur, ce cours est fait pour vous !

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Duration: Self-paced

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Want to become an Successful Data Scientist but don’t know what to do and how?Take a look at this course where you willNot only learn responsibilities, qualifications, all the knowledge and tools required in detail to become a Successful Data Scientist including Data Analysis and Exploration, Model Development, Feature Engineering, Data Visualization, Collaboration, Experimentation, Continuous Learning and Documentation but alsoThe roadmap for becoming a Successful Data Scientist Preview many lectures for free to see the content for yourselfGet Udemy’s 30 days Money Back GuaranteeEnroll for free in my any other course using the coupon link in my YouTube channel videos from time to time subject to availabilityMy exposure to Data Analysis started 40 years back in 1979-81 at Indian Institute of Management Bangalore when I learnt about various methodologies and tools like Multivariate and Conjoint Analysis to make better management decisions. Data Science was not yet born as it has developed and matured now with developments in Machine Learning and other Algorithms that have made it possible to use those methodologies and toolsWhile I continued to use the Data Analysis during next about 30 years while working in Unilever, Johnson and Johnson and Danone, I came to know about the fully developed Data Science in 2016 when I started working at IIM Udaipur teaching and coaching MBA studentsDuring past 8 years, I have researched and learnt a lot more about the capabilities of Data Science to help all of us make better decisionsI bring in this course my learnings from this journey and share with you how can you also become an Successful Data Scientist and join this attractive and growing fieldLook at what other students saying about this course"It's been super amazing so far, I know it will get better and better""The course is amazing and worth the money""One of the finest courses by a professor on Udemy""Great stuff, am learning a lot through this""Great explanation, simple and precise""Great""As a sophomore in college who aspires to major in data science, this course is a really good overview of what I will need to do and to know. I am also impressed at how fast Mr. Singhal responded to my questions. This course goes in depth with everything and does a good job of limiting the assumptions of what we already know.""Amazing""Awesome: detailed, not too fast, proper use of visualization that enhanced concentration and understanding of the class.""Really a great lecture. Hope I might get my apprenticeship in Google. Thank you""Very well taught!""Very important information concerning data scientist career""very good and simple explanations""it is a good lecture and refreshing time of adding value to my data analysis package with more insightful points""I am impressed. The video was easy to watch. No stress at all""nice and informative lectures""i can able study practical level of knowledge of all"Preview for yourself many lectures free. If you like the content, enroll for the course, enjoy and skill yourself to Become a Successful Data Scientist. If don't like the content, please message about how can we modify it to meet your expectations.

2 Week Prompt Engineering Certification

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This course contains the use of artificial intelligence.The 2 Week Prompt Engineering Certification is designed to help learners master one of the most important skills in the age of Generative AI: knowing how to communicate clearly, strategically, and effectively with Large Language Models. Whether you use tools like ChatGPT, Claude, Gemini, Copilot, or AI-powered workplace platforms, the quality of your results depends heavily on the quality of your prompts.This course begins by explaining how LLMs actually work without unnecessary hype or technical confusion. You will learn the basics of tokens, probabilities, model behavior, and why small changes in wording can dramatically affect AI output. Instead of treating AI like magic, you will understand how to guide it with structure, context, examples, and constraints.In Week 1, you will build a strong foundation in prompt engineering fundamentals. You will learn the anatomy of a great prompt, including role, task, context, format, tone, length, and output requirements. You will practice turning vague requests into clear, structured instructions that produce more useful responses. The course also introduces core prompt patterns such as zero-shot prompting, few-shot prompting, instruction-based prompting, reusable templates, and structured output design.You will also learn how to control output quality by setting expectations for tone, format, detail level, audience, and constraints. When prompts fail, you will learn how to debug them using practical iteration frameworks. Through before-and-after examples, you will see how weak prompts can be transformed into high-performing prompts. The Week 1 lab, Prompt Makeover Sprint, gives you hands-on practice improving messy prompts and producing stronger AI outputs.In Week 2, the course moves into advanced techniques and real-world applications. You will explore reasoning prompts, step-by-step thinking structures, and when reasoning-based prompting is useful or risky. You will learn how to use role-based prompting and persona prompting to guide AI as an analyst, executive, teacher, engineer, researcher, or creative partner.The course also shows how to prompt for different tasks, including writing, coding, research, summarization, brainstorming, planning, and workflow support. You will learn how to create reusable prompt templates and build prompt-driven workflows that save time across repeated tasks. By the end of the course, you will understand how to combine multiple prompts into practical AI systems for real workplace use.The final lab, Build Your Prompt OS, helps you create a reusable personal or professional prompt system that can support your daily work. You will leave with a practical toolkit of prompts, templates, frameworks, and workflows that you can immediately apply to business, content creation, learning, coding, research, productivity, and automation.By completing this certification, you will gain the confidence to use AI tools more effectively, reduce poor outputs, improve productivity, and build a repeatable process for getting high-quality results from modern Generative AI systems.

4-Week AI Agents & Agentic Workflows Certification

Udemy Instructor

This course contains the use of artificial intelligence.The 4-Week AI Agents & Agentic Workflows Certification is a hands-on, practical program designed to help you move beyond basic prompting and learn how to build real AI agent systems that can reason, take action, use tools, remember information, retrieve knowledge, and coordinate with other agents.Most people use AI by typing prompts into a chatbot. But modern AI development is quickly moving toward agentic systems — AI-powered workflows that can break down tasks, make decisions, call external tools, use APIs, search knowledge bases, and complete multi-step processes. This course teaches you how those systems work and how to design them from the ground up.In Week 1, you will begin with the fundamentals of AI agents. You will learn the difference between simple LLM usage and a true agent system. You will explore the core anatomy of an agent, including input, reasoning, action, and output. You will also learn the popular Think → Act → Observe loop and understand how the ReAct pattern helps agents work through tasks step by step. By the end of the week, you will design and build your first working single-agent system.In Week 2, you will expand your agent with tools, memory, and RAG. You will learn why memory matters, how stateless agents differ from stateful agents, and how short-term and long-term memory improve agent behavior. You will also understand the basics of embeddings, vector databases, and vector search. Then you will learn how Retrieval-Augmented Generation helps agents produce more accurate, grounded, and context-aware responses. The weekly lab guides you through building a working RAG agent that can use external knowledge.In Week 3, you will move into multi-agent systems. You will learn when one agent is not enough and how multiple agents can work together through specialized roles such as Planner, Executor, Reviewer, and Manager–Worker patterns. You will explore agent communication, workflow coordination, orchestration tools like LangGraph, CrewAI, and AutoGen, and how to design systems that pass context between agents reliably. The weekly lab focuses on building a coordinated multi-agent workflow.In Week 4, you will bring everything together in a portfolio-ready capstone project. You will plan your architecture, build the core agent system, integrate tools, add memory, apply guardrails, validate outputs, and improve reliability. You will also learn the basics of observability, testing, debugging, performance optimization, and production thinking.By the end of this certification, you will have built practical agent systems and gained a clear understanding of how to design agentic workflows for real-world use cases across business, productivity, automation, research, operations, and enterprise AI.

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IA Full-Stack avec Ollama : Llama, Deepseek, Mistral, QwQ

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