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Rav Ahuja
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).
Read more
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).
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/9kb75f/generative
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.
Read more
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.
Read more
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
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
Save this course
Save Generative AI: Introduction and Applications to your list so you can find it easily later:
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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
Show steps
Familiarize yourself with the course's goals, key concepts, and expectations.
Browse courses on
Generative AI
Show steps
-
Read through the entire syllabus thoroughly.
-
Highlight important dates and deadlines.
-
Identify any prerequisite requirements.
Recall Types of Generative AI Models
Show steps
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
Show steps
-
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
Show steps
Understand the practical applications of generative AI using interactive tutorials.
Browse courses on
Generative AI Models
Show steps
-
Identify relevant tutorials from IBM AI
-
Complete the tutorials step-by-step
-
Follow the instructions to implement generative AI
One other activity
Expand to see all activities and additional details
Show all four activities
Build a generative AI tool collection
Show steps
Gather resources and learn about various tools that can support your generative AI work.
Browse courses on
Generative AI Tools
Show steps
-
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.
Review course syllabus
Show steps
Familiarize yourself with the course's goals, key concepts, and expectations.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Read through the entire syllabus thoroughly.
- Highlight important dates and deadlines.
- Identify any prerequisite requirements.
Recall Types of Generative AI Models
Show steps
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
Show steps
Show steps
Show steps
- 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
Show steps
Understand the practical applications of generative AI using interactive tutorials.
Browse courses on
Generative AI Models
Show steps
Show steps
Show steps
- Identify relevant tutorials from IBM AI
- Complete the tutorials step-by-step
- Follow the instructions to implement generative AI
One other activity
Expand to see all activities and additional details
Show all four activities
Build a generative AI tool collection
Show steps
Gather resources and learn about various tools that can support your generative AI work.
Browse courses on
Generative AI Tools
Show steps
Show steps
Show steps
- 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
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.
Machine Learning Engineer
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.
Software 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.
Marketing Manager
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.
Business Analyst
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.
Product Manager
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.
Data Analyst
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.
Information Technology Auditor
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.
Quantitative Analyst
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.
Actuary
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.
Risk Manager
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.
Compliance Officer
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.
Financial Analyst
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.
Quality Assurance 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.
User Experience Designer
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.
For more career information including salaries, visit:
OpenCourser.com/course/9kb75f/generative
Reading list
We've selected 12 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Generative AI: Introduction and Applications.
Provides a comprehensive overview of the potential benefits and risks of generative AI for finance. It covers a wide range of topics, including using generative AI to develop new financial products and services.
Save
Provides an introduction to Judea Pearl's framework for causal inference, which is essential for understanding the limitations and capabilities of generative AI.
Save
Provides a comprehensive overview of computer vision algorithms and techniques, including image generation and manipulation. It valuable resource for those seeking a deeper understanding of the underlying principles of generative image AI.
Provides hands-on experience with machine learning libraries, which is essential for implementing generative AI models.
Provides a comprehensive overview of generative deep learning, which is the subfield of machine learning that focuses on generating new data.
Provides a practical introduction to deep learning using Python. It covers the basics of deep learning, including generative AI models, and provides hands-on exercises and code examples.
Provides hands-on experience with deep learning libraries, which is essential for implementing generative AI models.
Provides a theoretical foundation in machine learning, including a brief overview of generative AI models. It valuable resource for those seeking a rigorous understanding of the mathematical principles underlying generative AI.
Provides a comprehensive overview of the mathematics behind machine learning, which is essential for understanding the theory and practice of generative AI.
Focuses on deep learning techniques for natural language processing, including generative language models. It provides a comprehensive overview of the latest advancements and practical applications of generative AI in NLP.
Save
Provides a comprehensive overview of the history and future of machine learning, including the potential impact of generative AI.
Save
Provides a comprehensive overview of the potential impact of AI on society, including the potential benefits and risks of generative AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9kb75f/generative
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Effort
3 weeks of study, 1-2 hours/week
Level
Introductory
Via
Coursera
Institution
IBM
Instructor
Rav Ahuja
Language
English
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This course belongs to a
collection
called
IBM Applied AI. It's comprised of six courses:
- Generative AI: Prompt Engineering Basics
- Introduction to Artificial Intelligence (AI)
- Generative AI: Introduction and Applications (viewing)
- Developing AI Applications with Python and Flask
- Python for Data Science, AI & Development
- Building AI Applications with Watson APIs
Good to know
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
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