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Coding with Generative AI
  • Level Intermediate
  • Duration 6 hours
  • Course by Fractal Analytics
  • Offered by

About

This microlearning course (approximately 3 hours) provides an introductory exploration of the fundamental concepts of Generative AI with a specific focus on its application for coders. You will gain an understanding of the underlying principles of generative AI and learn how to effectively use it in your coding applications.

By the end of this course, you will be able to, discuss the Fundamental Concepts of Generative AI, and apply generative AI tools and techniques to solve real-world coding challenges.

You'll learn the fundamentals of neural network architectures, generative models, and the use of generative AI to generate codes quickly and efficiently. You will also learn to implement functions and classes, as well as about procedural code into object-oriented code, fixing syntax errors and code corrections using generative AI. You will also learn about the fundamental differences between exact search and semantic search.

This is the first course in the series of courses, where you will learn about the nuances of coding using generative AI. The course is suited for Generative AI enthusiasts, GenAI Engineers, AI Engineers, Data Scientists, Data Engineers, and Solution Architects.

To be successful in this course, you should have a curious mind, an understanding of programming languages, especially Python, and a basic knowledge of generative AI technologies and platforms.

Modules

Course Introduction

    • 2 Videos
    • 2 Readings
    • 1 Discussion
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1 Discussions

  • Meet and Greet

2 Videos

  • Course introduction
  • What is GenAI?

2 Readings

  • Course syllabus
  • Disclaimer

Getting Started with Python

    • 2 Videos
    • 3 Readings
    • 1 Lab
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1 Labs

  • Python Lab - Hone your Python Skills

2 Videos

  • What is python?
  • Working with Jupyter notebooks

3 Readings

  • Python: Installation Guide
  • Working Effectively with Jupyter Notebooks
  • Creating your First Program with Python

Introduction to Generative AI

    • 2 Videos
    • 3 Readings
    • 2 Assignment
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2 Assignment

  • Introduction to GenAI in Coding
  • Exploring GenAI in Coding

2 Videos

  • Generative models
  • Code generation with GenAI

3 Readings

  • Neural network architectures
  • Suggested Reading: The future of coding with Generative AI
  • Can GenAI be trusted with generated code?

Coding with GenAI

    • 6 Videos
    • 4 Readings
    • 1 Discussion
    • 4 Lab
    • 3 Assignment
Show info about module content

3 Assignment

  • GenAI in Coding
  • Coding with Generative AI
  • Project: AI-Assisted Mad Libs Generator

1 Discussions

  • Potential pitfalls & Ethical Considerations

4 Labs

  • 2-dimensional array to one dimensional array
  • Implement functions and classes
  • Procedural code into object-oriented code
  • Code Correction & Fixing Syntax Errors

6 Videos

  • Generate code more quickly and efficiently
  • 2-dimensional array to one dimensional array
  • Implement functions and classes
  • Procedural code into object-oriented code
  • Explain and fix syntax errors
  • Suggest code correction to fix syntax errors

4 Readings

  • Resources 1: Example CSV and Prompts
  • Resources 2: Example CSV and Prompts
  • StackOverflow vs ChatGPT
  • Suggested Reading: Things to remember while coding with Generative AI

Bonus Reading

    • 3 Readings
    • 3 Plugin
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3 Readings

  • Congratulations
  • Acknowledgments
  • Future of software development with generative AI
Fractal Analytics
Instructors

Fractal Analytics

Dr. Arjun Sivasundar
Instructors

Dr. Arjun Sivasundar