KS
5.0Reviewed Jul 30, 2026
Solid foundational course for understanding generative AI concepts.
Solid foundational course for understanding generative AI concepts.
Generative AI Foundations
Generative AI Foundations is a comprehensive course designed to provide learners with a strong foundation in Generative Artificial Intelligence, covering key principles, core methodologies, and real-world applications across multiple domains such as text, images, audio, and code. Ideal for beginners and professionals alike, this course explores how Generative AI models like GANs, VAEs, and transformers are transforming industries through content creation, automation, and innovation. By the end of this course, you will have acquired the knowledge and skills to: - Grasp the foundational concepts and technical intricacies of Generative AI, including its advantages and limitations. - Apply Generative AI for code generation, enhancing your programming efficiency and creativity in Python and other languages. - Master the art of prompt engineering to optimize interactions with AI models like ChatGPT, leading to improved outcomes in code generation and beyond. - Utilize ChatGPT for learning and mastering Python, data science, and software development practices, thereby broadening your technical skill set. - Explore the revolutionary fields of Autoencoders and Generative Adversarial Networks (GANs), understanding their architecture, operation, and applications. - Dive into the world of language models and transformer-based generative models, gaining insights into their mechanisms, applications, and impact on the future of AI. This course is meticulously crafted to cater to a broad audience, including software developers, data scientists, AI enthusiasts, and professionals seeking to leverage Generative AI technologies for innovative solutions. While prior knowledge of Generative AI Fundamentals or Python Coding is helpful, but it is not a prerequisite to complete the course. Whether you're looking to enhance your existing skills or embark on a new career path in the field of AI, this course will provide you with the knowledge, practical skills, and confidence to succeed. Join us on this exciting journey into the world of Generative AI!
Status: Artificial Intelligence
Status: Generative Adversarial Networks (GANs)
BeginnerCourse9 hours
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Kajal Singh
5.0
Reviewed Jul 31, 2026Nikolaos Gkonis
5.0
Reviewed Dec 20, 2024Excellent education, updated knowledge, new tools
Goddeti Suneel Kumar
5.0
Reviewed Sep 7, 2025very good
lu tang
5.0
Reviewed Dec 23, 2025nice
Ronald van der Merwe
4.0
Reviewed Mar 18, 2024Transcripts are missing from the majority of the videos. This is critical for inclusivity. Video: Benefits for Gen AI for Code Generation - Should be a slide just showing which section you are on. The videos just continue from the previous. There is no introduction to the current section. Sometimes videos just stop and have to be manually started again. Many grammar errors especially in the in-video questions: ChatGPT trained on - Large Corpus of Text Data - Small Data "Open the Google" -> Open Google (Video: Introduction to CHatGPT) Video: Log-in Process --> Too many instances of the phrase/filler word "like". Video: Code Generation with ChatGPT --> do not refer to "The ChatGPT", instead just ChatGPT. This is the widely-accepted terminology. Video: Visualization with Gen AI --> Pronounciation of typical words might turn off a broarder audience, e.g. pivotal is pronounced as "pie"-votal, instead of "puh"-votal. The visualizations are excellent examples. Perfectly suitable for machine learning and Explorarory Data Analysis. +1. The readings are very well curated. +1 The course would benefit from interactive practical exercises for those who are not very familiar with the content (besides quizzes). Consider practical exercises where the student is given a partially filled Jupyter notebook and uses the content to try and complete it themselves (adjust it to the level of knowledge that you expect the average learner to have - I would reckon beginner to intermediate level for the average learner). Video: VideoData Compression with Autoencoders --> Sound quality is much lower than the other videos.
Moiz Shaikh (ADNOC Onshore - PQC)
4.0
Reviewed Feb 7, 2025Quite amazing
Pascal Uriel ELINGUI
3.0
Reviewed May 18, 2024Good content, but with many repetition and audio glitchs
LetÃcia Patricio
1.0
Reviewed Nov 9, 2025Felt unstructured and very high level, very repetitive questions across the modules, the presenters style and the flat visuals don't help, I spent most of the time reading the transcript as it was more helpful. There's also some passionate language throughout some written materials which I found distracting and not as useful, I prefer more neutral tone.