Showing 18 certificates
End-to-end IBM SkillsBuild learning plan covering AI agent development — from foundational AI concepts to building intelligent agents using IBM Watson.
Google Cloud's course on LLM fundamentals, real-world use cases, prompt tuning techniques, and Google's generative AI product ecosystem.
Foundational course on ML and natural language processing — covers core algorithms, text processing, and practical Python implementations.
Infosys Springboard course on prompt engineering for LLMs — effective prompting strategies, chain-of-thought reasoning, and generative AI development.
IBM SkillsBuild course covering neural network architecture, deep learning fundamentals, activation functions, and backpropagation.
IBM SkillsBuild course covering core ML algorithms, supervised and unsupervised learning techniques, and model evaluation fundamentals.
IBM SkillsBuild learning plan exploring cutting-edge emerging technologies in AI, cloud computing, and beyond. Earned a digital credential.
IBM SkillsBuild module providing actionable tips and frameworks for career planning and professional development in technology fields.
Secured 3rd position in the ML Build-A-Thon competition conducted by the Machine Learning Domain at LPU's School of Computer Science & Engineering.
Deep dive into neural networks, decision trees, and practical ML advice taught by Andrew Ng. Covers TensorFlow, tuning, and regularization.
Foundations of supervised learning — linear regression, logistic regression, gradient descent, and regularization. First course in the ML Specialization by Andrew Ng.
Hands-on internship project under the Data Science with Python Career Program — applying data science skills to real-world project scenarios over 1 month.
Comprehensive 6-month data science career track — Python programming, Pandas, data visualization, and ML model building with Scikit-Learn.
Industry internship with hands-on computer vision project — lane detection using OpenCV, Canny edge detection, and Hough Transform achieving 87% accuracy.
Industry-focused data science training covering Python, ML algorithms, and data analysis techniques with hands-on project work and industry mentorship.
Certification in Data Science covering Python programming, statistical analysis, data visualization, and machine learning fundamentals.
University of Michigan's intro Python course by Dr. Charles Severance — covers Python syntax, variables, conditionals, loops, and functions from scratch.
Successfully completed the Amway Business Development Assessment and Certification Program powered by KPMG India — covering business fundamentals and assessment methodology.
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