Working with Notebooks in Vertex AI
This course introduces Google Cloud’s Vertex AI, the cloud-based data analysis environment, and the Vertex AI Workbench. It focuses on how Workbench supports the data science workflow by enabling efficient data analytics, integrating AI capabilities, and providing cloud-backed data storage and retrieval. Overall, it takes you one step further along the analysis lifecycle by combining scalable compute, managed notebooks, and seamless access to Google Cloud services.
Introduction to AI and Machine Learning on Google Cloud
This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.
PGP in Data science and Engineering
A comprehensive postgraduate program that equipped me with hands-on experience in data analysis, machine learning, statistics, SQL, Python, and real-world project implementation. This program focused on solving business problems using data-driven solutions and industry-standard tools and frameworks
Deep Learning with TensorFlow
An intensive certification program in Deep Learning by IBM SkillsBuild, focused on neural networks, deep architectures, and real-world applications. Gained hands-on experience with key concepts such as CNNs, RNNs, and deep learning frameworks using Python and industry-standard tools.
SQL Intermediate
Earned the SQL (Intermediate) Certification from HackerRank, demonstrating proficiency in complex queries, joins, window functions, aggregations, and database management techniques.
Twitter Sentiment Analysis
Certified in Twitter Sentiment Analysis by Analytics Vidhya, showcasing expertise in NLP techniques, sentiment classification, text preprocessing, and model building for social media analysis.
Intro to AI
A foundational course that introduced core AI concepts such as machine learning, natural language processing, and computer vision. It provided a strong understanding of how AI is applied in real-world scenarios to drive intelligent automation and decision-making.