Generative AI: Introduction and Applications from Coursera

This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about generative AI and leveraging its capabilities in their work and lives.

This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs).

In this course, you will learn about the fundamentals and evolution of generative AI. You will explore the capabilities of generative AI in different domains, including text, image, audio, video, virtual worlds, code, and data. You will understand the applications of generative AI across different sectors and industries. You will learn about the capabilities and features of common generative AI models and tools, such as GPT, DALL-E, Stable Diffusion, and Synthesia.

Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT. You will also hear from the practitioners about the capabilities, applications, and tools of generative AI.

What's inside

Syllabus

Introduction and Capabilities of Generative AI

In this module, you will learn the fundamentals of generative artificial intelligence (AI) and how it differs from discriminative AI. You will also discover the capabilities of generative AI for generating text, image, code, speech, and video as well as for data augmentation.

Applications and Tools of Generative AI

In this module, you will learn about the applications and impact of generative AI in different sectors and industries, such as IT and DevOps, entertainment, education, finance, healthcare, and human resources. You will get an insight into how generative AI is making our work lives more efficient and successful. Next, you will explore the key capabilities and use cases of some commonly used tools for text, image, code, audio, video, and virtual world generation.

Course Quiz, Project, and Wrap-up

This module includes a graded quiz to test and reinforce your understanding of concepts covered in the course. The module also includes a glossary to enhance your comprehension of generative AI-related terms. The module includes an optional project, which provides an opportunity to practice generating text, images, and code through generative AI. Finally, the module guides you about the next steps in your learning journey.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches fundamentals and evolution of generative AI

Explores capabilities of generative AI in various domains

Covers applications of generative AI across industries

Introduces common generative AI models and tools

Provides hands-on labs using industry-standard tools

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI: Introduction and Applications with these activities:

Review course syllabus

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Familiarize yourself with the course's goals, key concepts, and expectations.

Browse courses on Generative AI

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Read through the entire syllabus thoroughly.
Highlight important dates and deadlines.
Identify any prerequisite requirements.

Recall Types of Generative AI Models

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Clarify and refresh your understanding of the various types of generative AI models to enhance your comprehension during the course.

Browse courses on Generative AI Models

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Review notes or textbooks on different generative AI models
Create a table summarizing the key characteristics and applications of each model

Complete selected IBM AI tutorials

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Understand the practical applications of generative AI using interactive tutorials.

Browse courses on Generative AI Models

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Identify relevant tutorials from IBM AI
Complete the tutorials step-by-step
Follow the instructions to implement generative AI

One other activity

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Build a generative AI tool collection

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Gather resources and learn about various tools that can support your generative AI work.

Browse courses on Generative AI Tools

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Research and identify popular generative AI tools.
Download and install selected tools.
Explore the features and capabilities of each tool.
Create a documentation or reference guide for easy access.

Career center

Learners who complete Generative AI: Introduction and Applications will develop knowledge and skills that may be useful to these careers:

Data Scientist

A Data Scientist uses a combination of mathematics, programming, and statistical analysis to extract insights from data. This course on Generative AI may be useful for Data Scientists who wish to learn how to use generative AI to create new data or augment existing data. This course may help Data Scientists stand out from their competition and improve their job prospects.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer builds, deploys, and maintains machine learning models. This course on Generative AI may be useful for Machine Learning Engineers who wish to learn how to use generative AI to build new models or improve existing models. This course may help Machine Learning Engineers expand their skillset and improve their career prospects.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

A Software Engineer designs, develops, and maintains software systems. This course on Generative AI may be useful for Software Engineers who wish to learn how to use generative AI to improve the efficiency of their work. This course may help Software Engineers improve their job performance and increase their career opportunities.

See salaries and explore the career path for Software Engineer

Marketing Manager

A Marketing Manager is responsible for developing and implementing marketing campaigns. This course on Generative AI may be useful for Marketing Managers who wish to learn how to use generative AI to improve the reach and effectiveness of their campaigns. This course may help Marketing Managers excel in their current role and increase their career opportunities.

See salaries and explore the career path for Marketing Manager

Business Analyst

A Business Analyst is responsible for analyzing business data and developing recommendations for improvement. This course on Generative AI may be useful for Business Analysts who wish to learn how to use generative AI to improve the accuracy of their analyses. This course may help Business Analysts improve their credibility and help them to be more effective in the workplace.

See salaries and explore the career path for Business Analyst

Product Manager

A Product Manager is responsible for the development and launch of new products. This course on Generative AI may be useful for Product Managers who wish to learn how to use generative AI to improve the quality of their products. This course may help Product Managers launch successful products that meet the needs of their customers.

See salaries and explore the career path for Product Manager

Data Analyst

A Data Analyst is responsible for collecting, analyzing, and interpreting data. This course on Generative AI may be useful for Data Analysts who wish to learn how to use generative AI to improve the efficiency of their work. This course may help Data Analysts improve their accuracy and help them to be more efficient in the workplace.

See salaries and explore the career path for Data Analyst

Information Technology Auditor

An Information Technology Auditor is responsible for reviewing and evaluating an organization's information systems. This course on Generative AI may be useful for Information Technology Auditors who wish to learn how to use generative AI to improve their audit efficiency and effectiveness. This course may help Information Technology Auditors improve their performance and help them to be more successful in their careers.

See salaries and explore the career path for Information Technology Auditor

Quantitative Analyst

A Quantitative Analyst is responsible for developing and implementing mathematical models to analyze financial data. This course on Generative AI may be useful for Quantitative Analysts who wish to learn how to use generative AI to improve the accuracy of their models. This course may help Quantitative Analysts improve their performance and help them to be more successful in their careers.

See salaries and explore the career path for Quantitative Analyst

Actuary

An Actuary is responsible for assessing the financial risks associated with insurance contracts. This course on Generative AI may be useful for Actuaries who wish to learn how to use generative AI to improve the accuracy of their risk assessments. This course may help Actuaries improve their performance and help them to be more successful in their careers.

See salaries and explore the career path for Actuary

Risk Manager

A Risk Manager is responsible for identifying and mitigating risks to an organization. This course on Generative AI may be useful for Risk Managers who wish to learn how to use generative AI to improve their risk management strategies. This course may help Risk Managers improve their performance and help them to be more successful in their careers.

See salaries and explore the career path for Risk Manager

Compliance Officer

A Compliance Officer is responsible for ensuring that an organization complies with all applicable laws and regulations. This course on Generative AI may be useful for Compliance Officers who wish to learn how to use generative AI to improve their compliance monitoring and reporting. This course may help Compliance Officers improve their performance and help them to be more successful in their careers.

See salaries and explore the career path for Compliance Officer

Financial Analyst

A Financial Analyst is responsible for analyzing financial data and making recommendations for investment. This course on Generative AI may be useful for Financial Analysts who wish to learn how to use generative AI to improve the accuracy of their analyses. This course may help Financial Analysts improve their performance and help them to be more successful in their careers.

See salaries and explore the career path for Financial Analyst

Quality Assurance Analyst

A Quality Assurance Analyst is responsible for testing software applications to ensure that they meet the required standards. This course on Generative AI may be useful for Quality Assurance Analysts who wish to learn how to use generative AI to automate their testing processes. This course may help Quality Assurance Analysts improve their productivity and help them to be more successful in their careers.

See salaries and explore the career path for Quality Assurance Analyst

User Experience Designer

A User Experience Designer is responsible for designing and evaluating user interfaces. This course on Generative AI may be useful for User Experience Designers who wish to learn how to use generative AI to improve the user experience of their products. This course may help User Experience Designers improve their work and help them to be more successful in their careers.

See salaries and explore the career path for User Experience Designer