Certifications

DeepLearning.AI (Coursera)

July 2024

Duration: 11 hours

Learned ML project lifecycle, deployment patterns, model optimization, and production challenges for structured and unstructured data.

Google Cloud (Coursera)

January 2024

Duration: 1 hour

Gained foundational knowledge of generative AI, its working principles, model types, and real-world applications.

Stanford University (Coursera)

December 2020

Duration: 60 hours

Comprehensive course covering machine learning fundamentals, supervised and unsupervised learning, and practical applications.

DeepLearning.AI & Qualcomm

2024

Achievement: 100% Completed

Learned model conversion, quantization, and deployment techniques for edge devices and smartphones, focusing on segmentation models and device integration.

DeepLearning.AI

2024

Achievement: 100% Completed

Built diffusion models from the ground up, understanding sampling, neural networks, training, and techniques for controlling and speeding up the generation process.

DeepLearning.AI & Weights & Biases

2024

Achievement: 100% Completed

Mastered MLOps tools for managing, versioning, debugging, and experimenting in ML workflows, including diffusion model evaluation and LLM tracing.

DeepLearning.AI & LangChain

2024

Achievement: 100% Completed

Learned to build LLM applications using LangChain framework, including prompts, memory, chains, question answering, and agent development.

Simplilearn

2024

Duration: 2 hours

Mastered Docker fundamentals, containerization, and deployment practices for modern application development and deployment.

Simplilearn

2024

Duration: 2 hours

Learned PyTorch fundamentals for deep learning, including tensor operations, neural networks, and model training.

Yale University (Coursera)

July 2020

Duration: 14 hours

Developed analytical thinking, critical reasoning, and problem-solving skills through comprehensive study of psychological principles.