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Getting started with Python using ChatGPT

Python Fundamentals, Prompt Engineering, ChatGPT, Programming fundamentals, Basic programming, Getting started, Bard

  • Free tutorial
  • Rating: 4.5 out of 54.5 (16 ratings)
  • 1,202 students
  • 1hr 4min of on-demand video
  • Created by RougeNeuron Academy
  • English

What you’ll learn

  • Enhance problem-solving skills and critical thinking through expertly crafted AI-generated prompts, building a strong foundation in Python programming.
  • The course provides downloadable prompts to be used with ChatGPT like tools. The course itself doesnot include any coding demos or videos with IDE installation.
  • Prompts to master Python fundamentals, data types, and essential programming constructs.
  • Prompts to Utilize data structures, functions, and modules to create modular and efficient code.
  • Prompts to Implement exception handling and object-oriented programming concepts in Python.
  • Prompts to Explore advanced Python topics, including regular expressions, multithreading, and database interactions.
  • Prompts to Apply Python in data science for data analysis and visualization using popular libraries using prompt engineering.
  • Prompts to Develop web applications using Python and popular frameworks such as Flask and Django using prompt engineering.


  • No programming experience needed.
  • Basic system administration to install softwares is expected.
  • A free account of ChatGPT or any other equivalent tool to perform prompt engineering.


Are you keen on learning Python programming but need help figuring out where to begin? Embrace the future of online learning with this course, specifically designed for novices with minimal or no coding experience who wish to grasp Python programming fundamentals.

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In this groundbreaking course, you will learn through various meticulously designed, AI-generated prompts that facilitate a deeper understanding of Python programming. Each prompt focuses on a distinct concept or skill and provides examples that showcase Python’s application in real-world scenarios.

The prompts in this course offer unmatched adaptability and flexibility, enabling you to delve into topics based on your current requirements and passions. Regardless of your interest in data science, web development, or simply expanding your skillset, the prompts in this course will help you establish a robust foundation in Python programming.

Gone are copy-pasting days; insightful, prompt engineering has taken center stage. By the end of the course, you will possess a profound understanding of Python programming and be equipped with a diverse range of projects and applications. Ideal for students, professionals, or anyone seeking to learn a new skill, this course represents the perfect launching pad for your Python programming journey.

Prompt engineering is an emerging skill in online learning and AI-assisted education. As generative AI tools become more widely available, the focus has shifted from simply copying and pasting information to creating compelling, thought-provoking prompts that stimulate learning and guide students toward a deeper understanding of complex topics. As a result, mastering the art of prompt engineering is now essential for educators and learners alike, as it allows for more efficient and personalized learning experiences.

The iterative approach is a crucial element in prompt engineering, as it helps refine and improve the prompts’ quality over time. By analyzing the responses generated by AI tools and incorporating user feedback, prompt engineers can continuously enhance their prompts’ clarity, relevance, and depth. In addition, this iterative process ensures that prompts remain up-to-date and engaging, encouraging learners to participate and think critically about the subject matter actively.

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In addition to prompt engineering, utilizing general search techniques is crucial for comprehensively understanding a topic. By combining the power of AI-generated prompts with the vast information available through a general search, learners can explore various aspects of a subject, uncovering new insights and perspectives. This hybrid approach maximizes the potential of online learning, enabling students to develop a well-rounded knowledge base and a strong foundation in their chosen field.

In conclusion, the rise of prompt engineering and the importance of iterative approaches combined with general search techniques represent the future of online learning. By harnessing the capabilities of AI-powered tools and continuously refining learning materials, educators and learners can create dynamic, personalized, and engaging learning experiences that cater to the ever-evolving landscape of education.

Embark on this revolutionary learning experience today and begin mastering Python programming from scratch with expertly tailored prompts!

Who this course is for:

  • Absolute beginners with little or no programming experience who want to learn Python from scratch.
  • Individuals seeking to switch careers or enhance their skill set by mastering a versatile and in-demand programming language.
  • Students pursuing computer science, data science, or related fields, looking to gain a strong foundation in Python programming.
  • Professionals in fields like web development, data analysis, automation, or machine learning who want to integrate Python into their workflows.
  • Educators and trainers who wish to incorporate innovative AI-generated prompts and resources in their Python teaching curriculum.
  • Hobbyists and enthusiasts interested in exploring Python programming for personal projects or to expand their knowledge base.

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Course content

5 sections • 15 lectures • 1h 4m total lengthCollapse all sections

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Introduction3 lectures • 15min

  • Course Overview03:16
  • Prompt Engineering Best Practices – Part 106:37
  • Prompt Engineering Best Practices – Part 205:27
  • Warm up3 questions

Absolute beginner level topics to learn4 lectures • 16min

  • Getting started with python ( check the attached prompts to proceed.)04:06
  • Variables, operators and control flow03:39
  • Data Structures04:32
  • Functions and modules in Python03:30

Practioner Level topics3 lectures • 11min

  • File Operations02:33
  • Exception Handling03:11
  • Object Oriented Programming with Python05:12

Advanced or detailed topics to pursue based on your needs3 lectures • 15min

  • Regular Expressions, Multithreading, Database connections04:34
  • Data Science, Data Analytics04:53
  • Web Development05:24

Conclusion2 lectures • 7min

  • Closing remarks and the road ahead07:09
  • [Bonus Lecture]00:01

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