本课程融合数据科学、机器学习与生成式AI，从Python编程到LLM、RAG技术，通过工业级实战项目，掌握AI系统开发与云端部署，实现商业级解决方案。适合零基础学员。2026年7月更新。
原始标题：Machine Learning, Data Science and Generative AI Bootcamp
本课程是一门从零基础到进阶的 AI 全栈实战训练营，融合了数据科学、传统机器学习与前沿生成式 AI 三大核心领域。学员将从 Python 编程、数据清洗和探索性数据分析（EDA）等基石技能学起，逐步深入到监督与无监督机器学习算法、深度学习及自然语言处理（NLP）的核心技术。课程紧跟行业前沿，重点涵盖大语言模型（LLM）应用开发、检索增强生成（RAG）技术、向量数据库应用以及图像生成等生成式 AI 核心落地场景。通过全流程开发预测分析系统、AI 智能客服聊天机器人、文档智能问答及推荐系统等高含金量工业级实战项目，学员不仅能掌握从数据挖掘到模型调优的完整链路，更能实现生产级 AI 应用的 API 集成与云端部署，最终具备独立解决复杂商业问题并交付商业化 AI 解决方案的专家级能力。
Published 7/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 25m | Size: 779.04 MB
Master Machine Learning, Data Science and Generative AI from beginner to Advanced with Hands-on Projects
What you’ll learn
Master the foundations of Data Science, Machine Learning, and Generative AI by learning Python programming, data preprocessing, exploratory data analysis
Build intelligent AI applications using machine learning algorithms, deep learning models, natural language processing (NLP), large language models (LLMs)
Develop real-world projects including predictive analytics, AI-powered chatbots, recommendation systems, document question-answering, image generation
Deploy production-ready AI solutions by integrating APIs, implementing Retrieval-Augmented Generation (RAG), working with vector databases
Requirements
You must have a passion for mastering Machine Learning, Data Science and Generative AI
Description
Master the most in-demand skills in Artificial Intelligence with this comprehensive Machine Learning, Data Science, and Generative AI Bootcamp. Designed for beginners, students, software developers, data analysts, and IT professionals, this hands-on course provides a complete learning path from Python programming and data science fundamentals to advanced machine learning techniques and modern Generative AI applications.
You will begin by learning Python for data science, followed by data preprocessing, data cleaning, exploratory data analysis (EDA), feature engineering, statistics, probability, and data visualization using industry-standard libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn. These foundational skills will prepare you to analyze data effectively and build high-quality machine learning models.
The course then covers supervised and unsupervised machine learning algorithms, including regression, classification, clustering, dimensionality reduction, model evaluation, hyperparameter tuning, and ensemble learning. Through practical coding exercises and real-world datasets, you will gain the confidence to develop predictive models that solve real business problems.
As you progress, you will explore modern Generative AI technologies, including Large Language Models (LLMs), prompt engineering, embeddings, vector databases, Retrieval-Augmented Generation (RAG), AI-powered chatbots, content generation, document question answering, and intelligent AI assistants. You will learn how to integrate leading AI models into your applications and build powerful, production-ready AI solutions.
The bootcamp also introduces essential concepts in deep learning and natural language processing (NLP), enabling you to work with neural networks, text analytics, sentiment analysis, transformer models, and other AI techniques that power today’s intelligent applications.
Throughout the course, you will complete multiple hands-on projects that reinforce every concept and help you build a professional portfolio. These projects include predictive analytics, recommendation systems, fraud detection, customer segmentation, AI chatbots, document intelligence systems, and Generative AI applications using Python.
By the end of this bootcamp, you will have the practical skills to collect and analyze data, build and evaluate machine learning models, develop Generative AI applications, and create end-to-end AI solutions using Python. Whether your goal is to become a Data Scientist, Machine Learning Engineer, AI Engineer, Generative AI Developer, or Python Developer, this course will provide the knowledge, practical experience, and confidence needed to succeed in today’s rapidly evolving AI industry.
Who this course is for
It is for anyone who wants to learn Machine Learning, Data Science and Generative AI with Projects
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