Coursera

Leveraging AI for Enhanced Content Creation (Coursera)

Offered by Coursera Instructor Network,
Leveraging AI for Enhanced Content Creation (Coursera)

This course provides a foundation to assess, and apply, a series of Generative Artificial Intelligence (AI) tools, such as ChatGPT, Bing Chat, Google Bard, Midjourney, Runway, and Eleven Labs. This learning opportunity offers a hands-on experience through ideating, creating, and finalizing a mock advertising campaign using the combined strengths of these AI tools.

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

Content creators, marketing professionals, business strategists, and anyone interested in leveraging the combined power of leading Generative AI tools for innovative content solutions.
Basic understanding of AI concepts and a passion for innovative content creation techniques.
By the end of the course, Learners will be aware of, and leverage the capabilities of leading Generative AI tools, as demonstrated in creating a holistic advertising campaign, showcasing the seamless integration and enhanced capabilities of these tools in content creation.

What you'll learn

  • Review the foundational concepts of Generative AI and its transformative impact on content creation.
  • Ideate and brainstorm using Google Bard, and draft compelling advertisement scripts with ChatGPT.
  • Visualize and create content using Bing Chat,Midjourney, and Runway.
  • Integrate and enhance content with voiceovers using Eleven Labs.

Syllabus

Leveraging AI for Enhanced Content Creation
This course provides a foundation to assess, and apply, a series of Generative Artificial Intelligence (AI) tools, such as: ChatGPT, Bing Chat, Google Bard, Midjourney, Runway, and Eleven Labs.

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

Related Courses

Artificial Intelligence Data Fairness and Bias (Coursera) Coursera
LearnQuest

Artificial Intelligence Data Fairness and Bias (Coursera)

Computer Science

In this course, we will explore fundamental issues of fairness and bias in machine learning. As predictive models begin making important decisions, from college admission to loan decisions, it becomes paramount to keep models from making unfair predictions. From human bias to dataset awareness, we will explore many aspects of building more ethical models.

Jun 1st 2026
3 Weeks
Artificial Intelligence Ethics Human Factor
Details
Generative AI Essentials: Overview and Impact (Coursera) Coursera
University of Michigan

Generative AI Essentials: Overview and Impact (Coursera)

Robotics & Computer Vision

With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like.

Jun 5th 2026
1 Week
Artificial Intelligence AI Coursera Plus
Details
Digitalisation in the Aerospace Industry (Coursera) Coursera
Technische Universität München - TUM

Digitalisation in the Aerospace Industry (Coursera)

Engineering Sci: Physics

The online course Digitalisation in Aerospace aims at making you aware of special production requirements connected with digitalisation. You will learn about the role of robotics and automation in manufacturing and gain a better understanding of differing perspectives on research and manufacturing as well as the points where these intersect.

Jun 1st 2026
3 Weeks
Artificial Intelligence Robotics Engineering
Details
Prediction and Control with Function Approximation (Coursera) Coursera
University of Alberta,Alberta Machine Intelligence Institute

Prediction and Control with Function Approximation (Coursera)

Data Science

In this course, you will learn how to solve problems with large, high-dimensional, and potentially infinite state spaces. You will see that estimating value functions can be cast as a supervised learning problem---function approximation---allowing you to build agents that carefully balance generalization and discrimination in order to maximize reward.

Jun 1st 2026
4 Weeks
Artificial Intelligence Machine Learning Prediction
Details
Business Application of Machine Learning and Artificial Intelligence in Healthcare (Coursera) Coursera
Northeastern University

Business Application of Machine Learning and Artificial Intelligence in Healthcare (Coursera)

Business

The future of healthcare is becoming dependent on our ability to integrate Machine Learning and Artificial Intelligence into our organizations. But it is not enough to recognize the opportunities of AI; we as leaders in the healthcare industry have to first determine the best use for these applications ensuring that we focus our investment on solving problems that impact the bottom line.

Jun 1st 2026
4 Weeks
Healthcare Artificial Intelligence Machine Learning
Details
The Economics of AI (Coursera) Coursera
University of Virginia

The Economics of AI (Coursera)

Economics & Finance Social Sciences

The course introduces you to cutting-edge research in the economics of AI and the implications for economic growth and labor markets. We start by analyzing the nature of intelligence and information theory. Then we connect our analysis to modeling production and technological change in economics, and how these processes are affected by AI. Next we turn to how technological change drives aggregate economic growth, covering a range of scenarios including a potential growth singularity.

Jun 2nd 2026
5-12 Weeks
Artificial Intelligence Economics Labor Market
Details
Capstone Project: Advanced AI for Drug Discovery (Coursera) Coursera
LearnQuest

Capstone Project: Advanced AI for Drug Discovery (Coursera)

Computer Science

In this capstone project course, we'll compare genome sequences of COVID-19 mutations to identify potential areas a drug therapy can look to target. The first step in drug discovery involves identifying target subsequences of theirs genome to target. We'll start by comparing the genomes of virus mutations to look for similarities. Then, we'll perform PCA to cut down our number of dimensions and identify the most common features.

Jun 1st 2026
3 Weeks
Artificial Intelligence Machine Learning AI
Details
Artificial Intelligence: Ethics & Societal Challenges (Coursera) Coursera
Lund University

Artificial Intelligence: Ethics & Societal Challenges (Coursera)

Social Sciences

Artificial Intelligence: Ethics & Societal Challenges is a four-week course that explores ethical and societal aspects of the increasing use of artificial intelligent technologies (AI). The aim of the course is to raise awareness of ethical and societal aspects of AI and to stimulate reflection and discussion upon implications of the use of AI in society.

Jun 1st 2026
4 Weeks
Artificial Intelligence Democracy Consciousness
Details