Coursera

Leveraging Gen AI for Code Generation: An Introduction (Coursera)

Offered by Coursera Instructor Network,
Leveraging Gen AI for Code Generation: An Introduction (Coursera)

This course comprises three videos, each offering a unique perspective on the use of Generative AI (Gen AI) in software development, specifically in code generation. It's important to note that there are no hands-on practices or assessments in this course.

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

The first video highlights the importance of Gen AI in modern software development, demonstrating its effectiveness in code generation. The second video shifts focus to how Gen AI enhances developer productivity, detailing its role in automating coding tasks and improving bug detection. The final video presents various Gen AI tools and platforms, showcasing their application in the software development process, and how developers can utilize them to maximize efficiency and innovation.

Syllabus

Leveraging Gen AI for Code Generation- An Introduction
This course comprises three videos, each offering a unique perspective on the use of Generative AI (Gen AI) in software development, specifically in code generation. It's important to note that there are no hands-on practices or assessments in this course. The first video highlights the importance of Gen AI in modern software development, demonstrating its effectiveness in code generation. The second video shifts focus to how Gen AI enhances developer productivity, detailing its role in automating coding tasks and improving bug detection. The final video presents various Gen AI tools and platforms, showcasing their application in the software development process, and how developers can utilize them to maximize efficiency and innovation.

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

Related Courses

Ethics of Artificial Intelligence (Coursera) Coursera
Politecnico di Milano

Ethics of Artificial Intelligence (Coursera)

Robotics & Computer Vision

This course deals with the problems created, aggravated or transformed by AI. It is intended to give students a chance to reflect on the ethical, social, and cultural impact of AI by focusing on the issues faced by and brought about by professionals in AI but also by citizens, institutions and societies. The course addresses these topics by means of case studies and examples analyzed in the light of the main ethical frameworks.

Nov 9th 2026
4 Weeks
Artificial Intelligence Ethics AI
Details
Machine Learning Introduction for Everyone (Coursera) Coursera
IBM

Machine Learning Introduction for Everyone (Coursera)

Data Science

This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more.

Nov 9th 2026
3 Weeks
ML Artificial Intelligence Machine Learning
Details
Grow with AI: Your AI-driven Growth Marketing strategy (Coursera) Coursera
Starweaver

Grow with AI: Your AI-driven Growth Marketing strategy (Coursera)

Marketing & Communication Business

This innovative course explores the transformative role of Artificial Intelligence (AI) in Growth Marketing, equipping participants with the knowledge and skills to leverage AI for crafting innovative marketing strategies and optimizing campaigns. Participants will delve into how AI reshapes marketing approaches and contributes significantly to achieving key business objectives, preparing them to thrive in the dynamic digital marketing landscape.

Nov 9th 2026
4 Weeks
Marketing Artificial Intelligence Marketing Strategy
Details
Artificial Intelligence: An Overview (Coursera) Coursera
Politecnico di Milano

Artificial Intelligence: An Overview (Coursera)

Robotics & Computer Vision

The course will provide a non-technical overview of the artificial intelligence field. Initially, a discussion on the birth of AI is provided, remarking the seminal ideas and preliminary goals. Furthermore, the crucial weaknesses are presented and how these weaknesses have been circumvented. Then, the current state of AI is presented, in terms of goals, importance at national level, and strategies. Moreover, the taxonomy of the AI topics is presented.

Nov 9th 2026
5-12 Weeks
Artificial Intelligence AI Coursera Plus
Details
Llama for Python Programmers (Coursera) Coursera
University of Michigan

Llama for Python Programmers (Coursera)

CS: Software Engineering CS: Programming

Llama for Python Programmers is designed for programmers who want to leverage the Llama 2 large language model (LLM) and take advantage of the generative artificial intelligence (AI) revolution. In this course, you’ll learn how open-source LLMs can run on self-hosted hardware, made possible through techniques such as quantization by using the llama.cpp package.

Nov 9th 2026
3 Weeks
Python Python Programming Coursera Plus
Details
Data Augmented Technology Assisted Medical Decision Making (Coursera) Coursera
University of Michigan

Data Augmented Technology Assisted Medical Decision Making (Coursera)

Data Science

Artificial intelligence (AI) and machine learning (ML) have the potential to increase diagnostic accuracy, decrease diagnostic errors, and improve patient outcomes. The Data Augmented, Technology Assisted Medical Decision Making (DATA-MD) course will teach you how to use AI to augment your diagnostic decision-making.

Nov 9th 2026
4 Weeks
Healthcare Artificial Intelligence Machine Learning
Details
Automated Report Generation with Generative AI (Coursera) Coursera
Coursera Instructor Network

Automated Report Generation with Generative AI (Coursera)

Data Science

In today's data-driven world, generating reports efficiently is a valuable skill for professionals across various industries. This course introduces beginners to the world of automated report generation using AI-powered tools and techniques. You will learn how to leverage the capabilities of artificial intelligence to streamline the reporting process, save time, and improve data accuracy.

Nov 9th 2026
1 Week
Artificial Intelligence AI Coursera Plus
Details
Applied Text Mining in Python (Coursera) Coursera
University of Michigan

Applied Text Mining in Python (Coursera)

Statistics & Data Analysis Data Science

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Nov 9th 2026
4 Weeks
Programming Python Machine Learning
Details