ODSC 2025: 6-Week Winter AI Bootcamp
Over 6 weeks, gain a comprehensive understanding of AI, from foundational concepts in coding and machine learning to LLMs,AI Agents & RAG
AI Mini-Bootcamp: What You’ll Learn
Introduction to AI
This AI course introduces participants to artificial intelligence (AI) and machine learning basics. We will first explore the various types of AI and then progress to understand fundamental concepts such as algorithms, features, and models. We will study the machine learning workflow and how it is used to design, build, and deploy models that can learn from data to make predictions. This will cover model training including supervised, unsupervised learning, and generative AI
Python for AI
The Python language is one of the most popular programming languages in data science and machine learning as it offers several powerful and accessible libraries and frameworks specifically designed for these fields. This programming course is designed to give participants a quick introduction to the basics of coding using the Python language. It covers topics such as data structures, control structures, functions, modules, and file handling. This course aims to provide a basic foundation in Python and help participants develop the skills needed to progress in the field of data science and machine learning.
ML Data Preparation with Python
Data prep is the cornerstone of any data-driven project, and Python stands as one of the most powerful tools in this domain. In preparation for the ODSC conference, our specially designed course on “Machine Learning Data Prep with Python” offers attendees a hands-on experience to master the essential techniques. From cleaning and transforming raw data to making it ready for analysis, this course will equip you with the skills needed to handle real-world data challenges.
Machine Learning
This hand-on introduction to machine learning course will help you understand how machines can learn from data to make predictions and decisions. Throughout this course, you will learn key machine-learning concepts and their applications. You'll gain hands-on experience with real-world datasets, like predicting real estate prices, and understand how to evaluate the performance of your models. Knowing machine learning is crucial in today's data- driven world, as it equips you with the tools to uncover insights from data, automate decision-making processes, and build intelligent systems that adapt and improve over time. By the end of this course, you'll have a solid foundation in machine learning, enabling you to harness its power to analyze data, make informed decisions, and drive innovation.
LLMs & Fine-Tuning
In the rapidly evolving field of Al, the "LLMs, Prompt Engineering, and Generative Al" course stands as a cutting-edge offering, designed to equip learners with the latest advancements in Large Language Models (LLMs), prompt engineering, and generative Al techniques. This course delves into the architecture and functioning of LLMs, the art of crafting effective prompts to guide Al responses, and the principles behind generating creative and coherent content. As these components are becoming integral to the Al stack, understanding them is essential for anyone looking to innovate, optimize, and excel in Al-driven applications. Whether you're a researcher, developer, or Al enthusiast, this course will provide you with the insights and hands-on experience needed to harness the power of these transformative technologies and stay at the forefront of the Al revolution.
Introduction to RAG – Retrieval Augmented Generation
This hands-on course provides a comprehensive introduction to Retrieval-Augmented Generation (RAG), exploring how it combines traditional retrieval techniques with generative Al models to deliver contextually accurate and real-time responses. Starting with the limitations of traditional search systems, the course delves into the components and workflow of RAG, including data processing, indexing, and querying methods. Through hands-on examples and best practices, learners will gain familiarity with key tools and embedding techniques, such as LangChain, vector stores and ranking, for building effective RAG applications. The final module covers advanced frameworks and evaluation strategies, empowering students to implement and optimize RAG systems for various business and technical applications.
Introduction to AI Agents
Introduction to Al Agents & RAG is a comprehensive course designed to equip students with the foundational knowledge and practical skills needed to build and implement Al agents. This course explores the core concepts of Al agents, including their types, key components, and tools, as well as advanced topics like agent chains and Agent Frameworks. Through a blend of theoretical insights and hands-on exercises, participants will learn how to leverage powerful frameworks like LangChain and Llamalndex to create intelligent, context-aware systems that can handle complex tasks. Whether you are new to Al or looking to deepen your expertise, this course offers a structured pathway to mastering the latest advancements in Al agent technology.
Build and Launch Your AI Project
In this capstone project, students will progressively build a useful, end-to-end Al agent by combining Retrieval-Augmented Generation (RAG), language model fine-tuning, and interactive Al agent design. Each module of the bootcamp will focus on constructing a core component of the agent, from fine- tuning a language model (LLM) on domain-specific data to setting up a real-time RAG pipeline. By the end, students will have a customized Al agent capable of delivering accurate, context-aware responses to user queries. With hands-on guidance, template notebooks, and regular insights, students will build each part step-by- step, gaining confidence as they progress. This “build- as-you-go" approach not only strengthens technical skills but also provides a real-world Al application students can showcase, demonstrating their expertise in build the latest Al solutions.
Optional On-Demand Prerequisites:
Founder and Engineer | ODSC