Learn Python using AWS Sagemaker and build Real World Projects
What you will learn
Adaptive knowledge on Python using AWS SageMaker
Introduction to AWS SageMaker
Introduction to Python and Basics
Introduction to List,Tuples,sets
Sets and strings
Dictionaries and Operators
If-Else-Statements
Introduction to Functions
Lambda and Map Functions
Introduction to For Loops
While loop and examples (Odd-Even Places)
Examples- (String, substring and Longest Good String)
Object-Orientation-Programming
Introduction to NumPy Array
Introduction to Pandas Part 1-4
Introduction to Matplotlib and Seaborn
File Handling in Python
Overview on Web Scrapping
Learn Computer Vision by using OpenCV Part 1-2
Project 1-Die Roll(Basic Die Roll)
Project 2-(Rock, Paper, Scissors)
Project 3-Telecom Customer Service
Project 4-Hospital Management System
Why take this course?
🎓 Master Python with Amazon SageMaker: NumPy, Pandas, Matplotlib & More 🐍⚛️📊
Course Headline:
Learn Python using AWS SageMaker and build Real World Projects
Welcome to the Course: NumPy, Pandas, Matplotlib in Python using Amazon SageMaker
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This course is a career-booster, leveraging Python – the language behind some of the world’s largest companies like Google, Facebook, Instagram, Dropbox, and Netflix. With its roots in both computer science and statistics, Python is an essential tool for data scientists, developers, and anyone looking to tackle real-world problems using data.
Why Learn Python? 🌟
Python is a versatile, powerful programming language that’s easy to learn and read, making it perfect for beginners and professionals alike. Its popularity is skyrocketing, with a vast community of developers and extensive documentation to support your learning journey. Companies across various industries are actively seeking Python experts, which means mastering Python can open doors to numerous career opportunities.
Why Choose This Course? 🚀
- Best in Class Knowledge: Get up-to-speed with the latest advancements and technologies, including the powerful AWS SageMaker platform.
- Hands-On Practice: Learn by doing with practical exercises that will solidify your understanding of Python and AWS SageMaker.
- Real-World Projects: Work on meaningful projects like Gaming in Python and OpenCV for Computer Vision, preparing you to apply your skills in the industry.
- Industry-Ready Skills: Master flow control, functions, data types, file handling, object-oriented programming, and much more with a focus on AWS SageMaker.
- AWS SageMaker Experience: Get hands-on experience with AWS SageMaker instances to deploy your models effectively.
Course Structure:
- Python Fundamentals: Understand the basics of Python, including syntax, data structures, and control flow.
- Data Manipulation with Pandas: Learn how to handle and analyze large datasets efficiently.
- Numerical Computing with NumPy: Discover the power of numerical computing for scientific computing.
- Data Visualization with Matplotlib: Represent data visually with charts, histograms, and plots that make complex data understandable.
- Advanced Python Concepts: Dive deeper into functions, modules, exceptions, and more.
- AWS SageMaker Deep Dive: Explore AWS SageMaker to build, train, and deploy machine learning models.
- Machine Learning Projects: Put your skills to the test with real-world projects that demonstrate the application of Python and AWS SageMaker in various domains.
Who Is This Course For? 👩💻👨💻
- Beginners: No prior programming experience required; learn from scratch.
- Programmers New to Python: If you know other languages but want to explore the Python ecosystem and AWS SageMaker, this course is for you.
- Python Programmers: Round off your skills with advanced Python concepts and AWS SageMaker integration.
What You’ll Get From This Course:
- Lifetime Access: To 28 comprehensive lectures that cover all aspects of Python, from foundations to advanced concepts.
- AWS Free Account: Learn with an AWS free account to get hands-on experience without any financial commitment.
- Interactive Sessions: Engage with the tutor for clear explanations and receive assignments to practice your skills.
- Milestone Projects: Complete challenging projects that allow you to apply what you’ve learned and showcase your abilities.
- High-Quality Material: Access to top-notch learning resources, code samples, and more to help you understand and apply Python and AWS SageMaker effectively.
- Pathway to More: This course serves as an introductory step towards our upcoming course on Machine Learning using AWS SageMaker.
Don’t miss this opportunity to become proficient in Python and master AWS SageMaker with real-world applications. Enroll now and embark on a journey to transform your career! 🚀💻✨
