OpenCourser brand icon
Sign in
We may earn an affiliate commission when you visit our partners.

Generative AI for Beginners

4.6 Filled star Filled star Filled star Filled star Half star
Based on 28,792 ratings
see reviews
Aakriti E-Learning Academy

Welcome to Generative AI for Beginners, the ultimate course designed for those eager to dive into the world of Generative AI (GenAI) and harness its transformative power. This comprehensive course is carefully curated to provide a blend of fundamental concepts, industry applications, and hands-on learning, making it ideal for aspiring AI enthusiasts, professionals, and anyone curious about this cutting-edge technology. And to make it even better, we are here to help you on this learning journey with lifetime query support, so you can always get answers to any of your doubts.

Read more

Welcome to Generative AI for Beginners, the ultimate course designed for those eager to dive into the world of Generative AI (GenAI) and harness its transformative power. This comprehensive course is carefully curated to provide a blend of fundamental concepts, industry applications, and hands-on learning, making it ideal for aspiring AI enthusiasts, professionals, and anyone curious about this cutting-edge technology. And to make it even better, we are here to help you on this learning journey with lifetime query support, so you can always get answers to any of your doubts.

Why Learning Generative AI is Important:

  1. Career Advancement: Generative AI skills are increasingly in demand across various industries. Mastering Generative AI can open doors to new career opportunities and advancements in tech, marketing, retail, and more.

  2. Innovation at Your Fingertips: Understanding Generative AI empowers you to create innovative solutions, from chatbots to personalized customer experiences, driving efficiency and creativity in your projects or workplace.

  3. Stay Ahead in a Tech-Driven World: As AI continues to shape our future, possessing knowledge in Generative AI ensures you stay ahead of the curve, understanding and leveraging the latest advancements.

  4. Solve Complex Problems: Generative AI offers unique approaches to problem-solving, enabling you to tackle complex challenges with AI-driven solutions, enhancing both personal and professional growth.

Why Choose This Course?

  • Tailored for Beginners: Whether you're new to AI or looking to expand your knowledge, this course breaks down complex topics into understandable segments, ensuring a solid foundation in Generative AI.

  • Hands-On Learning Experience: Move beyond theory with practical exercises, including building your own Generative AI chatbot, getting real-world skills and experience. Note that the chatbot section is totally optional, and if you are from a non-technical background, its ok to skip or just watch along.

  • Industry-Relevant Content: Learn how Generative AI is transforming various industries, from software development to retail, with current, real-world use cases.

  • Instructor Guidance: The instructor has deep knowledge and experience in AI and Generative AI, offering insights and guidance throughout the course.

  • Ethical and Future-Focused: Explore the ethical considerations of AI and foresee future trends, preparing you to make responsible and forward-thinking decisions.

  • Lifetime Query Support: Ask any question, any time, and get a response within 48 hours

Enroll now

What's inside

Learning objectives

  • Detailed understanding of generative ai
  • Key concepts - llm, embeddings, prompt engineering, fine tuning
  • Industry use cases and ideas that can be implemented
  • Hands-on experience, creating a chatbot
  • Future trends and how to stay relevant in post-genai world
  • Roadmap for continous learning

Syllabus

Introduction to the Course
Overview of course content
Quick points about this learning journey
Understanding Generative AI
Read more

In this quiz we will have questions from a diverse range of industries. Please note that the important thing here is not to assess your knowledge, rather it is to give you the idea of the "art-of-possible" - how we can use GenerativeAI in different areas.

We will purposely not cover areas we already discussed – Software, Retail, Marketing etc. – so you get to know of newer areas.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides a blend of fundamental concepts, industry applications, and hands-on learning, making it suitable for those looking to expand their knowledge
Breaks down complex topics into understandable segments, ensuring learners develop a solid foundation in Generative AI
Covers skills that are increasingly in demand across various industries, potentially opening doors to new career opportunities
Empowers learners to create innovative solutions, from chatbots to personalized customer experiences, driving efficiency and creativity
Includes an optional chatbot section, allowing learners to skip or just watch along if they are from a non-technical background
Explores the ethical considerations of AI and future trends, preparing learners to make responsible and forward-thinking decisions

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Reviews summary

Solid beginner introduction to genai

According to learners, this course provides a clear and accessible introduction to Generative AI, making it an excellent starting point for those new to the field. Students particularly appreciate how the course breaks down key concepts like LLMs, Prompt Engineering, and Embeddings into understandable segments. Many found the exploration of industry use cases highly relevant and insightful. The course structure and pace are widely considered suitable for beginners. While the hands-on chatbot project is seen as a valuable, albeit optional, component, a few learners with some prior technical exposure noted that the content level remains foundational and may not delve into more advanced topics. The instructor's clarity and available query support are also highlighted as positive aspects.
Content is suitable for absolute beginners.
"The pace is perfect for someone starting from scratch, not too fast, not too slow."
"If you have some technical background or basic AI knowledge, parts of this might feel a bit basic."
"I enjoyed the bite-sized lessons, they were easy to digest and follow along with."
"Keep in mind this is truly for beginners and doesn't go deep into the technical implementation details."
Instructor explains concepts clearly.
"The instructor explained difficult topics clearly and provided great, easy-to-understand examples."
"The explanations were straightforward and easy for a non-technical person like me to grasp."
"Instructor is knowledgeable and presents the material in an engaging way."
"Appreciated the clear delivery and organization of the lectures by the instructor."
Hands-on optional project is helpful.
"Building the chatbot, even optionally, was a great way to see how the concepts come together in practice."
"I appreciated the hands-on approach with the chatbot development, it solidified my learning."
"The chatbot part felt a bit advanced for me as a non-coder, but watching it helped me understand the process."
"The practical example of creating a chatbot was a highlight; it made the theory tangible."
Good overview of use cases.
"Exploring the diverse range of industry use cases opened my eyes to the potential of GenAI."
"The module on how GenAI is used in software development and retail was very insightful."
"Gave me a lot of ideas on how these concepts could be applied in different professional fields."
"The examples of 'art-of-possible' across various industries were really interesting."
Explains foundational GenAI terminology.
"The modules on Prompt Engineering and LLMs were particularly clear and helpful in building my understanding."
"I finally understand what embeddings are and how they are used after watching these lessons."
"The key terminology section gave me a solid grasp of the foundational concepts needed to discuss GenAI."
"Covers essential ideas like fine-tuning and embeddings really well for a beginner."
Excellent starting point for newcomers.
"...a fantastic starting point for understanding Generative AI. It breaks down concepts..."
"As someone completely new, I found this course easy to follow and highly informative."
"This is exactly what I needed to get a handle on the basics of GenAI and feel less intimidated."
"Perfect course if you have zero prior knowledge about AI or machine learning."

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 for Beginners with these activities:
Review Foundational AI Concepts
Reinforce your understanding of core AI concepts like machine learning and deep learning, which are foundational to grasping generative AI.
Browse courses on Artificial Intelligence
Show steps
  • Review online resources explaining AI, ML, and DL.
  • Complete practice quizzes on AI fundamentals.
  • Summarize the key differences between AI, ML, and DL.
Read 'Generative Deep Learning' by David Foster
Deepen your understanding of generative models by studying a comprehensive book on the topic.
View Generative Deep Learning 2nd Edition... on Amazon
Show steps
  • Obtain a copy of 'Generative Deep Learning'.
  • Read the chapters relevant to the course syllabus.
  • Take notes on key concepts and model architectures.
Experiment with Prompt Engineering
Improve your prompt engineering skills by experimenting with different prompts and analyzing the outputs of generative AI models.
Show steps
  • Choose a generative AI model (e.g., ChatGPT).
  • Develop a series of prompts with varying styles and instructions.
  • Analyze the outputs and identify effective prompting techniques.
  • Document your findings and share them with peers.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'Hands-On Generative AI with Python and TensorFlow 2.0'
Learn how to implement generative AI models using Python and TensorFlow 2.0 by following a hands-on guide.
View Hands-On Neural Networks with TensorFlow 2.0 on Amazon
Show steps
  • Obtain a copy of 'Hands-On Generative AI with Python and TensorFlow 2.0'.
  • Work through the examples and code snippets in the book.
  • Experiment with different model architectures and hyperparameters.
Create a GenAI Use Case Presentation
Solidify your understanding of GenAI applications by creating a presentation showcasing real-world use cases across different industries.
Show steps
  • Research GenAI use cases in various industries.
  • Select 3-5 compelling use cases to highlight.
  • Create a presentation with clear explanations and visuals.
  • Present your findings to a study group or online forum.
Follow Advanced Chatbot Tutorials
Enhance your chatbot development skills by following advanced tutorials that cover topics like conversational flow design and API integration.
Show steps
  • Search for tutorials on advanced chatbot features.
  • Choose a tutorial that aligns with your interests.
  • Follow the tutorial step-by-step and implement the techniques.
  • Adapt the tutorial to create your own unique chatbot.
Contribute to a GenAI Open Source Project
Deepen your understanding of GenAI by contributing to an open-source project, gaining experience with real-world codebases and collaborative development.
Show steps
  • Identify a GenAI open-source project on GitHub.
  • Review the project's documentation and contribution guidelines.
  • Find an issue to work on or propose a new feature.
  • Submit a pull request with your changes.

Career center

Learners who complete Generative AI for Beginners will develop knowledge and skills that may be useful to these careers:
AI Specialist
An AI Specialist focuses on developing and implementing artificial intelligence solutions and taking this course, focused on Generative AI, may be useful for building a foundation in this area of AI. This role may involve designing AI models, fine-tuning algorithms, and working with large datasets. Given the course's focus on industry use cases and hands-on projects, you will gain practical exposure to developing your own chatbot using Generative AI tools. This training can enhance your ability to innovate and solve complex problems using AI. Understanding the future potential and responsible use of AI, as taught in this course, is essential for a career as an AI Specialist.
See salaries and explore the career path for AI Specialist
Machine Learning Engineer
A Machine Learning Engineer develops, tests, and deploys machine learning models to solve specific problems. This course’s curriculum on Generative AI helps you to understand key concepts such as LLMs, embeddings, and fine tuning, all of which are helpful in this role. You will gain practical experience via hands-on exercises, and you will also learn about the ethical considerations of AI. You will leverage the concepts to develop models and work with large datasets. The course’s hands-on chatbot project will be particularly beneficial, as it can help you understand how models are created and deployed. Knowledge of the ethical implications of AI, as covered in this course, is also important for this role.
See salaries and explore the career path for Machine Learning Engineer
Data Scientist
A Data Scientist analyzes large data sets to extract insights and help organizations make better decisions. This course may be useful for those looking to expand their technical skills in applying AI. You would have exposure to the practical application of Generative AI through the course's hands-on activities. The course's coverage of industry applications and use cases, across different sectors like marketing, retail, and software development, is directly relevant to the role. Data scientists are expected to understand a range of AI tools and techniques, and this is an excellent introduction to Generative AI. Additionally, the course helps address future trends in the field and helps build a roadmap for continuous learning, making you a more informed and effective Data Scientist.
See salaries and explore the career path for Data Scientist
Software Developer
A Software Developer designs, develops, and maintains software applications, and this course may be useful for integrating generative AI capabilities into software. Knowledge of Generative AI allows a Software Developer to build more innovative and intelligent applications. This course provides a strong introduction to the key concepts of Generative AI, including LLMs and prompt engineering, and helps you understand how these technologies and their uses in software development. Also pertinent is the course’s discussion of industry use cases. With practical experience creating a chatbot, the course helps you build your capability to incorporate AI into software projects. This course also helps keep you updated on future trends and ethical considerations, which are essential in the ever-evolving field of software development.
See salaries and explore the career path for Software Developer
AI Product Manager
An AI Product Manager drives the strategy, roadmap, and execution of AI-powered products, and this course may be useful for those wanting to expand their technical capabilities in the field. The course provides an understanding of core Generative AI concepts such as large language models and prompt engineering, which is valuable in leading AI product development. Moreover, the industry use cases section of the course gives an overview of how Generative AI is being applied across a range of sectors, essential for strategic product planning. The hands-on experience creating a chatbot helps you understand practical challenges and possibilities, essential for effective product management. The course's discussion of ethical considerations is also crucial for an AI product manager who needs to ensure responsible AI.
See salaries and explore the career path for AI Product Manager
AI Consultant
An AI Consultant helps organizations implement AI solutions to enhance business processes and outcomes, and this course may be useful in building basic competencies in the field. This role often requires both technical expertise and business acumen, and the course's overview of Generative AI concepts, industry use cases, and ethical considerations will be helpful for understanding the nuances of AI implementation. Given the strong hands-on component of the course, you will have the opportunity to construct a chatbot, providing valuable experience useful for making implementation recommendations. The course’s discussion of the future of AI and the need for continuous learning is useful for consultants who need to stay abreast of the field. AI Consultants are expected to understand and communicate the impact of AI tools across industries, which this course may help with.
See salaries and explore the career path for AI Consultant
Digital Marketing Specialist
A Digital Marketing Specialist develops and implements digital marketing strategies, and this course may be useful for those wanting to incorporate AI tools in their practice. The curriculum on Generative AI, including use-cases in marketing and content creation, can help you be more innovative in your approach. The course's emphasis on industry applications illustrates how AI can automate, personalize, and optimize marketing campaigns. You may gain the ability to analyze marketing trends and create more effective marketing strategies with practical experience integrating AI. The course can be helpful for understanding how to use AI ethically and how to stay updated with its technological advancements.
See salaries and explore the career path for Digital Marketing Specialist
Data Analyst
A Data Analyst interprets data and generates meaningful insights to support business decisions. This course may be useful for those looking to expand on their skills using AI tools. The course's emphasis on applying Generative AI across various industries allows data analysts to understand how AI can enhance data analysis and decision-making processes. The course's content on using AI to solve complex problems can further enhance analytical skills for this role, making data analysts more versatile and effective. Exploring the ethical aspects of AI and future trends, as covered in the course, can be useful for Data Analysts for implementing data-driven solutions.
See salaries and explore the career path for Data Analyst
Business Analyst
A Business Analyst identifies business needs and proposes solutions, and this course may be useful in understanding how to integrate AI tools into business processes. The course's focus on Generative AI applications across industries, including retail and marketing, also provides a useful perspective. Business analysts can better understand how to leverage AI to drive business value with insights from the industry-relevant use cases and practical exercises. The course’s discussion of the ethical considerations of AI and its future impacts are helpful for considering the broad implications of adopting new tech. Specifically, the chatbot project would help a business analyst understand the practical implications of this technology, and how this can be integrated into a business.
See salaries and explore the career path for Business Analyst
Research Scientist
A Research Scientist conducts research to advance knowledge in a specific field, and this course may be useful in exploring new research avenues related to Generative AI. It would be useful for Research Scientists in exploring novel approaches and methodologies in machine learning and artificial intelligence. The course provides a practical introduction to Generative AI, covering key concepts and hands-on exercises like building a chatbot. These are skills that can directly benefit research focused on AI models. The course also delves into the ethical implications and future trends of AI, which are crucial for researchers who are shaping the technological landscape. Research Scientists often need to understand a range of tools and techniques, and this course provides an introduction to Generative AI, which would be useful.
See salaries and explore the career path for Research Scientist
Content Creator
A Content Creator produces engaging content for various platforms, and this course may be useful for exploring how to integrate AI tools into creative projects. The course provides an overview of Generative AI, with information about large language models and prompt engineering. Additionally, this course reviews the different use cases of this technology across industries, which may provide inspiration to Content Creators. The practical elements of the chatbot projects may encourage experimentation and creativity, while the course's ethical discussions encourage the responsible use of AI in the creative field. Content creators can leverage this training to understand how AI can enhance the creative process. The focus on future trends also helps keep you updated with industry advancements.
See salaries and explore the career path for Content Creator
Technical Writer
A Technical Writer creates documentation for technical products and services. This course may be useful in developing skills related to the documentation of AI-powered products. A Technical Writer who understands Generative AI will be able to effectively translate complex information about the technology into clear, accessible documentation for users. This course’s focus on the different use cases of AI, and its introduction to key terms, will help you in translating information about Generative AI for a variety of audiences. The course also provides a conceptual overview of AI, which may be helpful in documentation. The ethical implications and future trends presented in the course give you an understanding of the broader context of AI development.
See salaries and explore the career path for Technical Writer
Technology Journalist
A Technology Journalist reports on the latest trends and developments in the technology industry, and this course may be useful for covering the topic of Generative AI. The course will help a Technology Journalist to gain insights into key concepts such as large language models, prompt engineering, and fine tuning. It will also help you to understand applications of AI across different industries, from software development to retail. The course’s practical approach, including building a chatbot, will give journalists a basic understanding of the technology. Moreover the course material on ethical considerations and future trends will assist in covering the broader impact of AI.
See salaries and explore the career path for Technology Journalist
Startup Founder
A Startup Founder initiates and leads a new business, and this course may be helpful in identifying opportunities to leverage Generative AI for new products and services. This course offers an overview of the core concepts of Generative AI, and provides hands-on experience building a chatbot. With a deep understanding of industry use cases, and practical insights on how AI can be integrated into different products, this course provides an entrepreneur with a valuable perspective. The course also covers ethical considerations and future trends, which are important components of the technology landscape for a Startup Founder.
See salaries and explore the career path for Startup Founder
Educator
An Educator teaches students in various settings, and this course may be useful in integrating AI education into curriculums. This course's curriculum provides an introduction to Generative AI concepts, hands-on experience with building a chatbot, and different industry use cases. With this practical knowledge an educator can develop new courses, modules, and teaching methods. The course also addresses the ethical implications of AI, which is essential for preparing students to be responsible technology users. The course's discussion of future trends will also be helpful for staying informed on new developments in the field.
See salaries and explore the career path for Educator

Reading list

We've selected two 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 for Beginners.
Generative Deep Learning
Save
Provides a comprehensive overview of generative deep learning models, including GANs, VAEs, and transformers. It delves into the mathematical foundations and practical implementation of these models. Reading this book will significantly enhance your understanding of the underlying mechanisms of generative AI. It valuable resource for those seeking a deeper dive into the technical aspects of the field.
(中文) Generative Deep Learning 2nd Edition...
Paperback
$$$$
Cover image
Hands-On Neural Networks with TensorFlow 2.0
Save
Provides a practical guide to building generative AI models using Python and TensorFlow 2.0. It covers a wide range of models, including GANs, VAEs, and transformers, with hands-on examples and code snippets. This book is particularly useful for those who want to learn how to implement generative AI models from scratch. It valuable resource for those seeking a practical, hands-on approach to learning generative AI.
Hands-On Neural Networks with TensorFlow 2.0
Paperback
$$
Hands-On Neural Networks with TensorFlow 2.0:...
Kindle Edition
$$

Share

Help others find this course page by sharing it with your friends and followers:
Facebook
LinkedIn
Reddit
X
Link
Email

Similar courses

Similar courses are unavailable at this time. Please try again later.
Rating
4.6 Filled star Filled star Filled star Filled star Half star
Effort
3.5 total hours
Via
Udemy
Instructor
Aakriti E-Learning Academy
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Provides a blend of fundamental concepts, industry applications, and hands-on learning, making it suitable for those looking to expand their knowledge
Breaks down complex topics into understandable segments, ensuring learners develop a solid foundation in Generative AI
Covers skills that are increasingly in demand across various industries, potentially opening doors to new career opportunities
Empowers learners to create innovative solutions, from chatbots to personalized customer experiences, driving efficiency and creativity
Includes an optional chatbot section, allowing learners to skip or just watch along if they are from a non-technical background
Explores the ethical considerations of AI and future trends, preparing learners to make responsible and forward-thinking decisions
Share this
Share to help others discover this course.
Facebook LinkedIn X Reddit Link Email
Begin learning today
Enroll now to gain full access to Generative AI for Beginners.
Enroll now
Save for later
Add this course to your list. Find it anytime.
Save
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser