The Certificate course for you!
Identify business use cases and opportunities for Generative AI
Build and implement practical AI-driven solutions
Evaluate ethical considerations and responsible AI practices.
What Will You Learn?
Increase career opportunities in AI and technology domains.
Learn practical applications across various industries
Stay updated with the latest advancements in artificial intelligence.
Build a strong foundation for advanced AI and machine learning studies.
Course Curriculum
- Understanding Generative AI 0:02 Min
- Generative Models and Architectures 0:03 Min
- Applications of Generative Ai 0:03 Min
- Basic concepts and applications of Generative AI. 0:25 Min
- Generative Models and Architectures – Generative Adversarial Networks (GANs) 0:03 Min
- Variational Autoencoders 0:03 Min
- Transformers and Large Language Models 0:03 Min
- Comparing different generative models and their use cases. 0:25 Min
- Data Preparation and Preprocessing 0:02 Min
- Building and Training Generative Models – Training GANs and VAEs 0:03 Min
- Fine-Tuning Pre-trained Models 0:03 Min
- Building and Training Generative Models 0:15 Min
- Generative AI in Healthcare and Research 0:05 Min
- Generative AI in Automation and Customer Experience 0:05 Min
- Implementing Generative AI in Real-World Scenarios 0:15 Min
- Ethical Implications and Bias in Generative AI 0:05 Min
- Ethics, Challenges, and Future of Generative AI – Regulatory and Privacy Concerns 0:05 Min
- Future Trends in Generative AI 0:04 Min
- Ethical considerations and future advancements in Generative AI. 0:19 Min
- AI Image Caption Generator
- AI Text Generator
- AI Resume Summary Generator
- Chatbot Assistant
- AI Content Idea Generator
Learn With GreyLearn
-
Coverage of prompt engineering and large language models
-
Real-world projects and practical exercises
-
Industry-relevant case studies and applications
-
Expert-led learning modules and guidance.
-
Certificate of completion to showcase your skills.
-
Flexible learning format with self-paced content.
What Learners Say
Prajakta Jadhav
This course made generative ai practical for real work i use small checks to keep outputs on topic the course showed realistic limits and tradeoffs
RAUNAK ANAND
The course balanced creativity and responsible use this course made generative ai practical for real work i learned when to escalate tasks to human editors
Soumya Ranjan Pradhan
The approach fits product design research and support the style guide keeps tone steady across responses the checkpoints keep experiments organized and honest
Mousumi Hota
I can prototype ideas fast without losing control examples covered code text and simple data tasks i learned prompt patterns that give stable reliable output
Omkar Gawali
The approach scales from a draft to a working system i connect tools to chain prompts for end to end tasks i can combine search
Shivam Kumar
Evaluations helped me measure quality not just speed i use schemas so tools can read outputs reliably the planner breaks big goals into verified steps
Frequently Asked Questions
Have something to know? Check here if you have any questions about us.