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This course is designed to equip you with the skills and knowledge needed to leverage generative AI for crafting intelligent Python programs that will serve as solutions to real-world problems. Whether you're a seasoned developer looking to enhance your skills or a newcomer eager to explore the possibilities of AI-guided programming, this course provides the perfect blend of theory and hands-on practice to help you succeed.

Course Highlights:

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This course is designed to equip you with the skills and knowledge needed to leverage generative AI for crafting intelligent Python programs that will serve as solutions to real-world problems. Whether you're a seasoned developer looking to enhance your skills or a newcomer eager to explore the possibilities of AI-guided programming, this course provides the perfect blend of theory and hands-on practice to help you succeed.

Course Highlights:

  • Embrace Python Fundamentals: Gain a solid understanding of Python syntax, data types, and control structures essential for effective programming.

  • Explore Generative AI with ChatGPT: Dive into the world of artificial intelligence and discover how ChatGPT can be harnessed to generate intelligent solutions.

  • Develop AI-Driven Applications: Learn to create interactive programs that handle user input, perform mathematical operations, and control program flow with the guidance of ChatGPT.

  • Build Real-World Projects: Apply your newfound skills to develop practical applications ranging from simple utilities to complex systems, all powered by generative AI.

  • Expert Guidance at Your Fingertips: Benefit from expert AI guidance and personalized support as you navigate through the course, ensuring a rewarding and fulfilling learning experience.

Enroll now and embark on your journey towards creating sophisticated Python programs with ChatGPT as your guide. Let's create together.

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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught with a hands-on approach by benefiting from expert AI guidance and personalized support
Useful for students or seasoned developers looking to enhance their Python skills with AI-guided programming
Develops professional skills with AI-driven applications, such as interactive programs and complex systems
Provides a comprehensive study of generative AI within Python programming
Teaches sophisticated techniques for solving real-world problems through Python

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Create Python Programs with AI (ChatGPT) with these activities:
Review Python syntax and data structures
Ensure you have a solid foundation in Python fundamentals.
Browse courses on Python
Show steps
  • Read through Python syntax documentation and tutorials.
  • Review examples and practice writing simple Python programs.
  • Test your understanding by solving coding challenges.
Read 'Python for Data Analysis' by Wes McKinney
Gain a comprehensive understanding of Python's role in data analysis.
Show steps
  • Obtain a copy of the book 'Python for Data Analysis'.
  • Read the book thoroughly, taking notes and highlighting key concepts.
  • Complete the exercises and examples provided in the book.
Follow online tutorials on ChatGPT for Python programming
Supplement your learning with expert-led tutorials and best practices.
Browse courses on Python
Show steps
  • Identify reputable online platforms or instructors offering ChatGPT tutorials.
  • Select tutorials that align with your skill level and learning goals.
  • Follow the tutorials step-by-step, practicing the concepts and techniques.
Five other activities
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Join a Python study group
Collaborate with peers to enhance your understanding and problem-solving skills.
Show steps
  • Find a study group or online forum dedicated to Python learning.
  • Participate in discussions, ask questions, and share your knowledge.
  • Collaborate on Python projects and assignments with group members.
Create hands-on coding exercises
Develop your Python coding skills by creating your own exercises.
Browse courses on Python
Show steps
  • Define the coding problem you want to practice.
  • Write a Python script to solve the problem.
  • Test your script and debug any errors.
  • Review your solution and identify areas for improvement.
Attend a workshop on advanced Python techniques
Expand your knowledge and skills by attending a workshop led by industry experts.
Browse courses on Python
Show steps
  • Identify and register for a workshop that aligns with your learning goals.
  • Attend the workshop, actively participate in discussions, and take notes.
  • Apply the techniques and concepts learned in your own Python projects.
Build a Python chatbot using ChatGPT
Apply your knowledge to create a practical project that showcases your skills.
Browse courses on Python
Show steps
  • Design the chatbot's functionality and user interface.
  • Develop the Python code for the chatbot's logic and responses.
  • Integrate ChatGPT into your chatbot for natural language processing.
  • Test and refine your chatbot's performance.
  • Deploy your chatbot and share it with others.
Develop a Python script for a real-world problem
Apply your skills to solve a practical problem, demonstrating your proficiency.
Browse courses on Python
Show steps
  • Identify a real-world problem that can be addressed using Python.
  • Design and develop a Python script that provides a solution to the problem.
  • Test and refine your script to ensure it meets the requirements.
  • Document your code and share your solution with others.

Career center

Learners who complete Create Python Programs with AI (ChatGPT) will develop knowledge and skills that may be useful to these careers:
AI Engineer
An AI Engineer designs, develops, and maintains artificial intelligence (AI) systems. This course provides a strong foundation in Python programming, generative AI with ChatGPT, and AI-driven application development, equipping you with essential skills for building intelligent solutions. You will gain hands-on experience in creating AI-powered Python programs, making you a valuable asset in the rapidly growing field of AI.
Machine Learning Engineer
A Machine Learning Engineer focuses on developing and implementing machine learning models. This course provides a solid understanding of Python, generative AI with ChatGPT, and AI-driven application development, enabling you to build intelligent ML solutions. By mastering the techniques taught in this course, you will be well-equipped to succeed in this in-demand field.
Data Scientist
A Data Scientist analyzes and interprets data to extract insights and solve problems. This course provides a foundation in Python programming, generative AI with ChatGPT, and AI-driven application development, giving you the skills to manipulate and analyze data effectively. By completing this course, you will be better prepared for a successful career as a Data Scientist.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course provides a strong foundation in Python programming and AI-driven application development, equipping you with the skills to build robust and intelligent software solutions. You will gain hands-on experience in creating AI-powered Python programs, making you a valuable asset to any software engineering team.
Python Developer
A Python Developer specializes in developing software applications using the Python programming language. This course provides a comprehensive foundation in Python programming, generative AI with ChatGPT, and AI-driven application development, giving you the skills to build sophisticated Python programs. By completing this course, you will be well-equipped for a successful career as a Python Developer.
AI Researcher
An AI Researcher focuses on advancing the field of artificial intelligence through research and development. This course provides a solid understanding of Python programming, generative AI with ChatGPT, and AI-driven application development, enabling you to contribute to the development of new AI technologies. By completing this course, you will be well-prepared for a successful career as an AI Researcher.
Data Analyst
A Data Analyst analyzes data to extract insights and solve problems. This course provides a strong foundation in Python programming and AI-driven application development, giving you the skills to manipulate and analyze data effectively. By completing this course, you will be better prepared for a successful career as a Data Analyst.
AI Consultant
An AI Consultant advises businesses and organizations on how to implement and use AI technologies. This course provides a comprehensive understanding of AI, generative AI with ChatGPT, and AI-driven application development, equipping you with the knowledge to guide clients in making informed decisions about AI adoption. By completing this course, you will be well-positioned for a successful career as an AI Consultant.
Product Manager
A Product Manager is responsible for the development and launch of new products. This course provides a foundation in Python programming, generative AI with ChatGPT, and AI-driven application development, giving you the skills to understand the technical aspects of product development and make data-driven decisions. By completing this course, you will be better prepared for a successful career as a Product Manager.
Business Analyst
A Business Analyst gathers and analyzes data to help businesses make informed decisions. This course provides a solid understanding of Python programming and AI-driven application development, giving you the skills to analyze data effectively and communicate insights to stakeholders. By completing this course, you will be better prepared for a successful career as a Business Analyst.
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course provides a foundation in Python programming and AI-driven application development, giving you the skills to analyze financial data effectively and make data-driven recommendations. By completing this course, you will be better prepared for a successful career as a Financial Analyst.
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve business problems. This course provides a strong foundation in Python programming and AI-driven application development, giving you the skills to analyze data effectively and develop optimization solutions. By completing this course, you will be better prepared for a successful career as an Operations Research Analyst.
Quality Assurance Analyst
A Quality Assurance Analyst ensures that software applications meet quality standards. This course provides a solid understanding of Python programming and AI-driven application development, giving you the skills to test and evaluate software applications effectively. By completing this course, you will be better prepared for a successful career as a Quality Assurance Analyst.
Technical Writer
A Technical Writer creates documentation for software applications and other technical products. This course provides a foundation in Python programming and AI-driven application development, giving you the skills to understand the technical aspects of products and write clear and concise documentation. By completing this course, you will be better prepared for a successful career as a Technical Writer.
User Experience Designer
A User Experience Designer focuses on creating positive experiences for users of products and services. This course provides a solid understanding of Python programming and AI-driven application development, giving you the skills to understand the technical aspects of product development and design user-friendly interfaces. By completing this course, you will be better prepared for a successful career as a User Experience Designer.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Create Python Programs with AI (ChatGPT).
Provides a comprehensive overview of deep learning with Python. It will be useful for those who want to learn more about the theoretical foundations of deep learning and how to use it to build their own applications.
Provides a comprehensive overview of natural language processing with transformers. It will be useful for those who want to learn more about the theoretical foundations of transformers and how to use them to build their own NLP applications.
Provides a comprehensive overview of probabilistic graphical models. It will be useful for those who want to learn more about the theoretical foundations of probabilistic graphical models and how to use them to build their own applications.
Provides a comprehensive overview of the mathematics used in machine learning. It will be useful for those who want to learn more about the theoretical foundations of machine learning and how to use it to build their own applications.
Provides a comprehensive overview of information theory, inference, and learning algorithms. It will be useful for those who want to learn more about the theoretical foundations of machine learning and how to use it to build their own applications.
Provides a comprehensive overview of pattern recognition and machine learning. It will be useful for those who want to learn more about the theoretical foundations of machine learning and how to use it to build their own applications.
Provides a comprehensive overview of statistical learning. It will be useful for those who want to learn more about the theoretical foundations of machine learning and how to use it to build their own applications.
Provides a comprehensive overview of statistical learning. It will be useful for those who want to learn more about the theoretical foundations of machine learning and how to use it to build their own applications.
Provides a comprehensive overview of machine learning from a probabilistic perspective. It will be useful for those who want to learn more about the theoretical foundations of machine learning and how to use it to build their own applications.
Provides a comprehensive overview of Bayesian reasoning and machine learning. It will be useful for those who want to learn more about the theoretical foundations of machine learning and how to use it to build their own applications.

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