Python For Ai & Automation: 200 Coding Exercises (2026)
Published 6/2026
Created by Siddhant kumar jha
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 8 Lectures ( 34m ) | Size: 598 MB
Master Python through 200 coding exercises. Build software projects, automation tools, machine learning models
What you'll learn
⚡ Master Python from beginner to advance through 200 structured coding exercises covering real-world business and software projects.
⚡ Build portfolio-ready applications including CRM systems, analytics dashboards, automation tools, machine learning models, and AI apps.
⚡ Learn problem-solving, software architecture, OOP, data processing, APIs, JSON, file handling, and enterprise development workflows.

⚡ Create GitHub-worthy projects independently while developing practical skills used in Python, AI, automation, and software careers.
⚡ Develop strong coding interview and technical problem-solving skills by completing progressively challenging real-world exe
⚡ Design, build, test, and debug professional Python applications using industry-standard development practices and workflows.
⚡ Work with machine learning, generative AI, and AI agents to create intelligent applications that solve business problems.
⚡ Build a professional portfolio with multiple end-to-end projects that demonstrate job-ready Python and AI development skills.
Requirements
❗ No prior programming experience is required. This course starts from Python basics and gradually progresses to advanced software development, machine learning, AI applications, and portfolio projects. A computer with Python installed and a willingness to practice coding exercises consistently are all you need.
❗ A Windows, macOS, or Linux computer capable of running Python 3 and installing free development tools.
❗ Basic computer skills such as creating files, installing software, and navigating folders are helpful but not mandatory.
❗ A willingness to practice coding regularly and complete hands-on exercises is strongly recommended for success.
❗ No mathematics, computer science, or engineering background is required. Concepts are introduced progressively through practical exercises.
❗ A GitHub account is recommended for storing projects, tracking progress, and building a professional developer portfolio.
❗ An internet connection is recommended for installing Python packages and exploring optional AI and machine learning exercises.
❗ Curiosity, consistency, and a commitment to solving coding challenges independently will help you get the most value from this course.
Description
Python is not learned by watching videos. Python is learned by writing code.
This course is designed around that philosophy.
Instead of spending hours watching lectures and copying examples, you will progress through 200 carefully structured coding exercises that take you from complete beginner to building real-world software, machine learning projects, AI applications, and intelligent agents.
The course follows a step-by-step roadmap. You will begin with Python fundamentals, variables, operators, conditions, loops, functions, and data structures. As your skills grow, you will build customer management systems, inventory platforms, analytics dashboards, reporting tools, business automation workflows, and enterprise-style applications.
You will then advance into object-oriented programming, JSON processing, API-ready architectures, machine learning fundamentals, predictive models, and AI-powered applications. In the final stages of the course, you will create AI assistants, business automation systems, retrieval-based applications, and AI agents that solve practical business problems.
Throughout the course, every exercise increases in difficulty and contributes to your long-term development as a Python developer. The projects are specifically designed to help strengthen your problem-solving abilities, improve your coding confidence, and create portfolio-ready work that can be showcased on GitHub, resumes, freelance profiles, and job applications.
By the end of this course, you will not only understand Python-you will be able to design, build, test, and deploy your own projects independently while following real software development practices used in modern businesses.
Whether you are a student, aspiring developer, freelancer, entrepreneur, career changer, or AI enthusiast, this course provides a structured path from Python beginner to AI application builder through hands-on coding practice.
Who this course is for
⭐ Beginners, students, career changers, aspiring Python developers, AI enthusiasts, and professionals who want hands-on coding practice and portfolio projects.
⭐ Students preparing for internships, placements, coding assessments, and technical interviews who want practical Python experience.
⭐ Self-taught programmers who are tired of tutorial-only learning and want structured coding exercises with increasing difficulty.
⭐ Aspiring software developers who want to build real-world applications, strengthen problem-solving skills, and improve coding confidence.
⭐ Professionals looking to transition into Python development, automation, data-focused roles, machine learning, or AI-related careers.
⭐ Freelancers and entrepreneurs who want to create their own software tools, automation systems, dashboards, and business applications.
⭐ Developers who want to build a stronger GitHub portfolio with practical projects that showcase real programming and engineering skills.
⭐ Anyone who wants a complete beginner-to-AI learning path through coding exercises, projects, and hands-on software development.
Homepage

https://anonymz.com/?
https://www.udemy.com/course/python-for-ai-automation-200-coding-exercises