Data Science + Gen AI

This comprehensive 4-month course is designed to take you from core programming to building autonomous AI systems, guided by an expert mentor with a proven track record of training 5,000+ students. You will build a rock-solid foundation through Python programming with 50+ practice problems, advanced SQL querying, Exploratory Data Analysis, and interactive Power BI dashboards. As you advance, you will master essential machine learning models, statistical techniques, deep learning, and Natural Language Processing. The curriculum culminates in cutting-edge generative AI, giving you hands-on experience with RAG, Multimodal RAG, AI Agents, MCP, and Agentic AI through real-world live projects. By the end of this journey, you will possess a job-ready portfolio and the practical expertise needed to solve complex real-world data and AI problems. Explore the modules below to view the detailed curriculum.

Curriculum

  • Introduction And Basics
  • Operators
  • Conditional Statements
  • While Loop
  • Lists
  • Strings
  • For Loops
  • Functions
  • Dictonary
  • Tuple
  • Set
  • 50+ Coding Questions Practise And Assignments

  • Data Visualization using Matplotlib and Seaborn

  • Uni-Variate Analysis
  • Bi-Variate Analysis
  • Multi-Variate Analysis

  • Operations On Table
  • Data Modifications
  • Constraints
  • Indexes
  • Views
  • Data Retrieval
  • Joins
  • Functions
  • Set Operator
  • Sub Ǫueries
  • Stored Procedure
  • Advance Sǫl Topics

  • Introduction to Power BI
  • Power Query
  • Power Pivot
  • Power View
  • Power BI Visualizations
  • Power BI Service

  • Statistics And Maths
  • Measures And Statistical Difference
  • Hypothesis Testing

  • Methods Of Imputation
  • Encoding
  • Feature Scaling
  • Handiling With Outliers
  • Supervised Learning Regression
  • Unsupervised Learning
  • Ensemble Models
  • Metrics
  • Over Sampling And Under Sampling
  • Cross Validation
  • Hyper parameter Tuning

  • Text Processing
  • Feature Extraction And Vectorization
  • Advanced Techniques And Models
  • Libraries And Tools

  • Foundational Neural Network Concepts
  • Types of Neural Networks
  • Neural Network Techniques and Components

  • RAG
  • Multimodal Rag
  • Tool Augumentation
  • AI Agents
  • MCP
  • Agentic AI
  • Live Projects

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