Foundation Models and Generative AI Platforms
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Course
Foundation Models and Generative AI Platforms
Master the foundations of generative AI to unlock its real-world potential. Learn the concepts and models driving the next wave of innovation.
Self-Paced
Mentored
Beginner
Duration
Focusing on the core concepts and foundational AI models that form the building blocks of generative AI, this course provides a base to help you build your generative AI skills. Explore deep learning and large language models (LLM) while learning about GANs, VAEs, transformers, and diffusion models, which are the building blocks of generative AI.
In the course, you'll become familiar with the concept of foundation models, learn about the capabilities of pretrained models and platforms for AI application development, and explore how foundation models use them to generate text, images, and code. You will also explore different generative AI platforms like IBM watsonx and Hugging Face.
As you progress through the course, you will work on hands-on labs to explore the use cases of generative AI. Plus, you will explore different models, such as IBM Granite, OpenAI GPT, Google flan, and Meta Llama , and hear from expert practitioners about the capabilities, applications, and tools of generative AI.
Overall, this course is designed for everyone interested in the rapidly developing field of generative AI.
This course comprises three purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 6 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will be able to:
- Apply AI techniques to solve real-world problems.
- Fine-tune and deploy large language models for advanced tasks.
- Create text, images, and solutions using generative models.
- Build and optimize natural language processing applications.
- Leverage pre-trained foundation models to accelerate AI development.
Anyone wanting to learn and get familiar with the concepts of generative AI
No prior knowledge is required for this course.
Course Outline
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
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Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
Foundation models in generative AI are large pretrained models that can generate text, images, or code and serve as the base for building advanced AI applications. This course explains how these models work, their capabilities, and how they form the core of generative AI development.
The course introduces deep learning, large language models (LLMs), and key generative AI architectures such as GANs, VAEs, transformers, and diffusion models. Hands-on labs demonstrate how these foundation models can be applied to generate text, images, and code, helping learners understand their practical utility.
Topics include deep learning, large language models, GANs, VAEs, transformers, diffusion models, pretrained foundation models for text, image, and code generation, and platforms like IBM watsonx and Hugging Face for generative AI development.
Yes, learners receive an IBM Certification upon successful completion, validating their knowledge of foundation models in generative AI and practical skills with leading AI platforms.
Generative AI foundation models are pretrained on massive datasets and can be adapted for multiple tasks without retraining from scratch. Unlike traditional AI models that are task-specific, foundation models provide a flexible base for generating diverse outputs like text, images, and code.
Yes, the course covers all major generative AI architectures, including GANs for image generation, VAEs for representation learning, transformers for language and multimodal tasks, and diffusion models for advanced generative applications.
Absolutely. Learners explore pretrained models such as IBM Granite, OpenAI GPT, Google Flan, and Meta LLaMA, understanding how these foundation models generate outputs across text, image, and code modalities.
The course demonstrates real-world use cases, including text summarization, image creation, code generation, chatbots, and AI-powered business applications using platforms like IBM watsonx and Hugging Face.
The course introduces learners to IBM watsonx for enterprise AI solutions and Hugging Face for open-source generative AI. Labs allow hands-on exploration of these platforms, including deploying pretrained foundation models and generating outputs across different data types.
Yes, the course includes practical labs and guided exercises that let learners interact with these models, understand their capabilities, and apply them in generative AI applications.
Yes, the course is designed for beginners and enthusiasts. No prior knowledge of generative AI is required, making it ideal for anyone wanting to get familiar with foundation models and their practical applications.
Type of certificate
IBM Certificate
About this course
03 Modules
05 Skills
Includes
Discussion space
03 Hands-on labs
02 Practice quizzes
02 Graded quizzes
01 Final exam
01 Final project
Create
Develop AI Applications with the Foundation Models
Develop AI Applications for Code Generation
Exercises to explore
Generative AI Foundation Models
This course has been created by
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