Practical introduction to PYTHON programming and Artificial Intelligence: Theory and applications

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning. This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied. As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others. I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly. Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

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Learn Python and understand algorithms and data structures with simple, clear lessons. We'll cover key topics like sorting, searching, and recursion, with hands-on practice to build your skills. Perfect for beginners or anyone looking to improve their coding and problem-solving!

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In today's rapidly evolving technological landscape, Large Language Models (LLMs) have emerged as a groundbreaking innovation, transforming the way we interact with machines and process vast amounts of textual information. This comprehensive course is designed to equip participants with the skills and knowledge to harness the power of LLMs for creating advanced chatbots and document-based question-answering (QA) systems. #### Course Objectives: - **Understanding LLMs:** Gain a deep understanding of Large Language Models, their architecture, and capabilities. - **Langchain Framework:** Learn how to use Langchain, a powerful framework for building LLM-powered applications. - **Building Chatbots:** Develop sophisticated chatbots capable of natural language understanding and generation. - **Document-based QA Systems:** Create robust QA systems that can accurately retrieve and process information from documents. - **Hands-On Projects:** Apply your learning through practical, hands-on projects and real-world scenarios. #### Course Outline: 1. **Introduction to Large Language Models:** - Overview of LLMs and their significance in AI - Key concepts and components of LLMs - Current trends and advancements in LLM technology 2. **Getting Started with Langchain:** - Introduction to the Langchain framework - Setting up the development environment - Understanding Langchain's core features and functionalities 3. **Building Your First Chatbot:** - Designing conversational interfaces - Implementing natural language understanding (NLU) and natural language generation (NLG) - Integrating LLMs into your chatbot 4. **Advanced Chatbot Development:** - Enhancing chatbot capabilities with context management - Handling multi-turn conversations - Deploying and maintaining chatbots in production environments 5. **Document-based Question Answering Systems:** - Understanding document processing and retrieval - Building QA systems using LLMs - Techniques for improving accuracy and relevance in QA systems 6. **Practical Applications and Case Studies:** - Real-world applications of chatbots and QA systems - Case studies highlighting successful implementations - Best practices and lessons learned 7. **Hands-On Projects:** - Developing a custom chatbot for a specific use case - Building a document-based QA system for a chosen domain - Integrating both systems into a cohesive application 8. **Future Directions and Advanced Topics:** - Exploring advanced features of LLMs and Langchain - Emerging trends and future developments in LLMs - Preparing for further learning and specialization #### Who Should Enroll: - Aspiring AI developers and data scientists - Professionals seeking to enhance their skills in LLMs and chatbot development - Enthusiasts interested in leveraging LLMs for innovative applications #### Prerequisites: - Basic understanding of programming concepts - Familiarity with Python is recommended but not required #### Course Outcomes: By the end of this course, you will be able to: - Understand and utilize Large Language Models effectively - Develop advanced chatbots using Langchain and LLMs - Build robust document-based QA systems - Apply your knowledge to real-world projects and scenarios - Stay abreast of the latest advancements in LLM technology Join us in "Mastering Large Language Models with Langchain: Building Chatbots and Document-based QA Systems" to unlock the potential of LLMs and create innovative AI solutions that transform how we interact with and process textual information.

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A graduate of EPFL in robotics, mathematics and physics are the foundations of my training. Over the years, I have had the chance to assist many students as a personalized tutor (CVAJ), science popularization workshop facilitator (SPS, EPFL), or as a course assistant (robotics course at EPFL). I assist on: - Mathematics, including the fundamentals up to analysis, trigonometry, algebra... - Physics, particularly mechanical physics. - Computer science, with python courses.

Passionate about programming, we offer Python support courses adapted to all levels, from beginner to advanced. These courses are aimed at students in preparatory classes for grandes écoles (CPGE) as well as anyone wishing to acquire solid programming skills. The lessons cover the essential foundations of Python with a clear and accessible teaching approach. Whether you are new to programming or want to deepen your knowledge, you will benefit from structured and progressive teaching. With a focus on concrete concepts and practical examples, these courses aim to strengthen your skills in a tangible way. You will be guided through the nuances of Python, gaining a deep understanding that will benefit you both in your studies and in your future career. Join us to explore the fundamentals of Python programming and progress to more advanced levels. Together, we will build a solid foundation and develop the skills needed to succeed in the dynamic world of computer programming.