1.    June 08, 2015 – The Data Scientist’s Toolbox (Johns Hopkins University, Coursera)

2.    July 02, 2015 – R Programming (Johns Hopkins University, Coursera)

3.    October 02, 2019 – End-to-End Machine Learning with TensorFlow on GCP (Google Cloud, Coursera)

4.    April 19, 2020 – Neural Networks and Deep Learning (deeplearning.ai, Coursera)

5.    April 28, 2020 – Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization (deeplearning.ai, Coursera)

6.    May 02, 2020 – Structuring Machine Learning Projects (deeplearning.ai, Coursera)

7.    May 09, 2020 – Convolutional Neural Networks (deeplearning.ai, Coursera)

8.    May 15, 2020 – Sequence Models (deeplearning.ai, Coursera)

9.    May 15, 2020 – Deep Learning Specialization (5 Courses) (deeplearning.ai, Coursera)

10. October 27, 2020 – Build Basic Generative Adversarial Networks (GANs) (deeplearning.ai, Coursera)

11. 2024 – AI Python for Beginners: Basics of AI Python Coding (DeepLearning.AI)

12. 2024 – Function-calling and Data Extraction with LLMs (Nexusflow, DeepLearning.AI)

13. 2024 – Open Source Models with Hugging Face (DeepLearning.AI, Hugging Face)

14. February 12, 2025 – How Transformer LLMs Work (DeepLearning.AI, Jay Alammar & Maarten Grootendorst)

15. February 15, 2025 – Attention in Transformers: Concepts and Code in PyTorch (DeepLearning.AI, StatQuest)

16. March 16, 2025 – AI Agents in LangGraph (DeepLearning.AI, LangChain & Tavily)