本课程是一门面向零基础学员、数据分析师及IT从业者的全栈机器学习与数据科学系统进阶实战课程。它打破了传统理论教学的局限，采用“Python编程+核心算法+深度学习/自然语言处理（NLP）+AWS云端部署”的四维一体教学架构。学员将从Python基础语法、NumPy和Pandas数据清洗、Matplotlib可视化起步，逐步深入探索性数据分析（EDA）与特征工程；随后通过Scikit-learn、TensorFlow和PyTorch等工业级框架，亲手实现回归、分类、聚类、推荐系统、计算机视觉及NLP等主流AI算法；更具价值的是，课程深度融合了企业级落地场景，重点传授如何利用亚马逊云（AWS）进行大体量数据存储、模型线上部署、弹性推理流及生产环境监控。通过贯穿全局的多个商业级实战项目，帮助学员攻克“模型落地最后一公里”的痛点，全方位构建起能够直接对标数据科学家、算法工程师或云AI架构师的专业作品集与核心竞争力。
Published 7/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 22m | Size: 775.68 MB
Master Machine Learning, Data Science from beginner to Advanced with Python, NLP, AWS and Hands-on Projects
What you’ll learn
Master Machine Learning and Data Science fundamentals
Build practical AI applications with Python by implementing real-world machine learning algorithms, deep learning basics
Develop end-to-end data science projects using industry-standard libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch
Deploy AI and Machine Learning models on AWS by learning cloud-based ML services, model deployment, scalable inference, data storage
Requirements
No need to have any experience at all
Description
Unlock the power of Artificial Intelligence, Machine Learning, Data Science, and Cloud Computing with this comprehensive hands-on course designed for beginners, students, software developers, data analysts, and IT professionals. Whether you are starting your AI journey or looking to enhance your existing skills, this course provides a step-by-step learning path from the fundamentals to advanced real-world applications.
You will begin by learning Python programming for data science and machine learning, followed by data preprocessing, exploratory data analysis (EDA), feature engineering, data visualization, and statistical concepts. As you progress, you will implement popular machine learning algorithms for regression, classification, clustering, recommendation systems, anomaly detection, and dimensionality reduction using industry-standard Python libraries.
The course also introduces modern Artificial Intelligence concepts, including deep learning, neural networks, computer vision, and natural language processing (NLP). Through practical coding exercises and real-world projects, you will gain the confidence to build intelligent applications that solve business problems.
In addition to AI and machine learning, you will learn how to leverage Amazon Web Services (AWS) to build scalable, cloud-based AI solutions. You’ll understand cloud fundamentals, data storage, model deployment, scalable inference, monitoring, and best practices for deploying machine learning models in production environments.
Throughout the course, you will work on multiple hands-on projects that reinforce every concept and help you build a professional portfolio. By the end of the course, you will have the practical skills needed to analyze data, develop machine learning models, build AI-powered applications, and deploy them on AWS using industry best practices.
Whether your goal is to become a Data Scientist, Machine Learning Engineer, AI Engineer, Python Developer, or Cloud AI Professional, this course provides the practical knowledge and real-world experience needed to succeed in today’s AI-driven industry.
Who this course is for
It is for those who want to master Machine Learning and Data Science with Python, NLP and AWS
Password/解压密码www.tbtos.com转载请注明：0daytown » Machine Learning, Data Science A-Z AI with Python, AWS