What you'll learn

1. Master Core Foundations of Data Science and AI 2. Acquire Expertise in Data Handling, Visualization, and SQL 3. Build, Tune, and Deploy Machine Learning Models 4. Explore Advanced AI Topics: Deep Learning, LLMs, and RAG Systems 5. Apply Ethical, Responsible AI Practices and Stay Industry-Ready

  • Intro to Data Science + Anaconda Setup, Python Rephresher, Pandas Series and DataFrame + Data Collection Basics
  • Advanced Pandas, SQL for Data Science, Business Statistics, Data Visualization (Matplotlib + Seaborn)
  • Supervised vs Unsupervised Learning, Model Selection: Cross-Validation, Hyperparameter Tuning
  • Introduction to Deep Learning, Keras + Building Your First Neural Network, Model Explainability: SHAP and LIME, Hands-on with Explainability
  • Introduction to LLMs + Transformers + Prompt Engineering, Retrieval Augmented Generation (RAG), Hands-on: Build RAG Backend (LangChain + Pinecone), Build Web App Frontend (Streamlit or FastAPI)

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Mahipal Singh Papola
Assistant Professor

Mr. Mahipal Singh is a Dedicated Assistant Professor with over 3 years of academic experience and 5+ years of industry exposure, specializing in Data Structures & Algorithms (DSA) and Machine Learning / AI. Proven track record in delivering high-impact teaching, mentoring students for placements, certifications, and real-world projects, and bridging the gap between academia and industry through practical, implementation-oriented learning.