Coding with Generative AI (Coursera)

Offered by Fractal Analytics,
Coding with Generative AI (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.

What you'll learn

  • Fundamental Concepts of Generative AI
  • Apply generative AI tools and techniques to solve real-world coding challenges.

Syllabus

Course Introduction
The module sets the stage for an engaging exploration of the symbiotic relationship between coders and Generative AI. It provides a comprehensive understanding of how Generative AI operates, exploring its capabilities and applications in coding contexts. By the end of this module, you will have a comprehensive grasp of how to harness the potential of Generative AI to enhance code quality.

Generate code with GenAI
With this comprehensive module, learn to expedite code development through efficient techniques. Dive into the intricacies of array manipulation. Elevate your programming skills by mastering the implementation of functions and classes, gain a keen eye for identifying and rectifying syntax errors, ensuring the integrity and quality of your code. And explore the nuances of semantic search with ChatGPT, distinguishing it from traditional search methods like StackOverflow's exact search.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Evaluations of AI Applications in Healthcare (Coursera) Coursera
Stanford University

Evaluations of AI Applications in Healthcare (Coursera)

With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare solutions.

Jun 8th 2026
5-12 Weeks
Deep Learning and Reinforcement Learning (Coursera) Coursera
IBM

Deep Learning and Reinforcement Learning (Coursera)

This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis. First you will learn about the theory behind Neural Networks, which are the basis of Deep Learning, as well as several modern architectures of Deep Learning.

Jun 8th 2026
5-12 Weeks
Guided Tour of Machine Learning in Finance (Coursera) Coursera
New York University

Guided Tour of Machine Learning in Finance (Coursera)

This course aims at providing an introductory and broad overview of the field of ML with the focus on applications on Finance. Supervised Machine Learning methods are used in the capstone project to predict bank closures. Simultaneously, while this course can be taken as a separate course, it serves as a preview of topics that are covered in more details in subsequent modules of the specialization Machine Learning and Reinforcement Learning in Finance.

Jun 8th 2026
4 Weeks
The AI Ladder: A Framework for Deploying AI in your Enterprise (Coursera) Coursera
IBM

The AI Ladder: A Framework for Deploying AI in your Enterprise (Coursera)

This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their enterprises. Through the use of a conceptual model called “The AI Ladder”, participants in this course will learn the requirements, terms and concepts associated with successfully developing and deploying AI solutions in their enterprises.

Jun 8th 2026
1 Week
Big Data Analytical Platform on Alibaba Cloud (Coursera) Coursera
Alibaba Cloud Academy

Big Data Analytical Platform on Alibaba Cloud (Coursera)

Building an Analytical Platform on Alibaba Cloud can empower how you take in, analyze, and demonstrate clear metrics from a set of Big Data. This course is designed to teach engineers how to use Alibaba Cloud Big Data products. It covers basic distributed system theory and Alibaba Cloud's core products like MaxCompute, DataWorks, E-MapReduce as well as a bundle of ecosystem tools.

Jun 8th 2026
5-12 Weeks
Fundamentals of Reinforcement Learning (Coursera) Coursera
University of Alberta,Alberta Machine Intelligence Institute

Fundamentals of Reinforcement Learning (Coursera)

Reinforcement Learning is a subfield of Machine Learning, but is also a general purpose formalism for automated decision-making and AI. This course introduces you to statistical learning techniques where an agent explicitly takes actions and interacts with the world. Understanding the importance and challenges of learning agents that make decisions is of vital importance today, with more and more companies interested in interactive agents and intelligent decision-making.

Jun 8th 2026
4 Weeks
Machine Learning Using SAS Viya (Coursera) Coursera
SAS

Machine Learning Using SAS Viya (Coursera)

This course covers the theoretical foundation for different techniques associated with supervised machine learning models. In addition, a business case study is defined to guide participants through all steps of the analytical life cycle, from problem understanding to model deployment, through data preparation, feature selection, model training and validation, and model assessment. A series of demonstrations and exercises is used to reinforce the concepts and the analytical approach to solving business problems.

Jun 8th 2026
5-12 Weeks
Economics: Society, Markets, and [In]equality (Coursera) Coursera
Parsons School of Design, The New School

Economics: Society, Markets, and [In]equality (Coursera)

Thinking critically about today's economy can help you understand the world around you. Economics: Society, Markets, and [In]equality will pique your curiosity and inspire you to learn more about the power dynamics that determine how people and resources are valued, how goods move around the world, and how we manage our planet and the future.

Jun 13th 2026
5-12 Weeks
Introduction to Machine Learning (Coursera) Coursera
Duke University

Introduction to Machine Learning (Coursera)

This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) as well as demonstrate how these models can solve complex problems in a variety of industries, from medical diagnostics to image recognition to text prediction.

Jun 12th 2026
5-12 Weeks
Mastering the Software Engineering Interview (Coursera) Coursera
University of California, San Diego

Mastering the Software Engineering Interview (Coursera)

You’ve hit a major milestone as a computer scientist and are becoming a capable programmer. You now know how to solve problems, write algorithms, and analyze solutions; and you have a wealth of tools (like data structures) at your disposal. You may now be ready for an internship or (possibly) an entry-level software engineering job. But can you land the internship/job? It depends in part on how well you can solve new technical problems and communicate during interviews. How can you get better at this? Practice!

Jun 8th 2026
4 Weeks
Cómo resolver problemas y tomar decisiones con eficacia (Coursera) Coursera
University of California, Irvine

Cómo resolver problemas y tomar decisiones con eficacia (Coursera)

El pensamiento crítico (la aplicación de métodos científicos y del razonamiento lógico) constituye la base para resolver problemas y tomar decisiones con eficacia. El pensamiento crítico nos permite evitar escollos frecuentes, verificar la validez de nuestras creencias y suposiciones y corregir las distorsiones que pueden haberse producido en nuestros procesos mentales.

Jun 8th 2026
4 Weeks
AI Workflow: Business Priorities and Data Ingestion (Coursera) Coursera
IBM

AI Workflow: Business Priorities and Data Ingestion (Coursera)

This is the first course of a six part specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. This first course in the IBM AI Enterprise Workflow Certification specialization introduces you to the scope of the specialization and prerequisites.

Jun 8th 2026
2 Weeks