Coding with Generative AI

This course is part of Generative AI for Developers Specialization

Instructors: Fractal Analytics +1 more

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What you'll learn

  •   Fundamental Concepts of Generative AI
  •    Apply generative AI tools and techniques to solve real-world coding challenges.
  • Skills you'll gain

  •   Object Oriented Programming (OOP)
  •   Computer Programming
  •   Prompt Engineering
  •   Artificial Neural Networks
  •   Deep Learning
  •   Debugging
  •   Natural Language Processing
  •   Python Programming
  •   Generative AI
  •   Programming Principles
  •   Semantic Web
  • There are 2 modules in this course

    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.

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