Become an expert in Python, Data Science, Machine Learning, Deep Learning, NLP, Generative AI, and AWS with hands-on projects and industry mentorship.

• Hands-on learning with real-world projects

• Expert mentorship from industry professionals

• Internship certification upon completion

• Placement assistance & career guidance

• AWS training for cloud & deployment

• Resume building & soft skills development

• Mock interviews & job readiness support

Module 1: Python Programming Foundation

• Python Fundamentals & Data Types

• Control Structures & Functions

• Modules & Packages (OS, DateTime, RegEx)

• File Handling & Exception Management

• Object-Oriented Programming

• Advanced Python (Iterators, Generators)

• Web Frameworks: Flask, FastAPI

Module 2: Database Management Systems

• SQL Fundamentals & DDL Commands

• DML Commands & SQL Clauses

• Advanced SQL & Window Functions

• Database Constraints & Relationships

• All Types of SQL Joins

• NoSQL Database: MongoDB

• Database Operations & Management

Module 3: Data Science Libraries & Tools

• NumPy: Arrays, Operations, Linear Algebra

• Pandas: DataFrames, Data Operations

• Visualization: Matplotlib, Seaborn, Plotly

• Statistical Analysis & Processing

• File Handling (CSV, Excel formats)

• Data Transformation & Manipulation

• SciPy, Scikit-learn, NLTK Integration

Module 4: Power BI & Business Intelligence

• BI Fundamentals & Data Warehouse

• Power BI Setup & Configuration

• Power Query Editor & Data Modeling

• DAX Functions & Advanced Calculations

• Interactive Visualizations & Reports

• Security & Row-level Access Control

• Power BI Services & Deployment

Module 5: Machine Learning Algorithms

• Supervised Learning: Linear/Logistic Regression, KNN, Decision Trees, Random Forest

• SVM, Naive Bayes, Boosting Algorithms

• Unsupervised Learning: K-Means, PCA

• Data Preprocessing & Feature Engineering

• Hypothesis Testing & Statistical Methods

• Model Evaluation & Performance Metrics

Module 6: Deep Learning & Neural Networks

• Neural Network Fundamentals

• Forward/Backward Propagation

• Optimization Algorithms (Adam, RMSprop)

• Activation & Loss Functions

• CNN Architecture & Image Processing

• Regularization & Overfitting Prevention

• Advanced Network Architectures

Module 7: Natural Language Processing (NLP)

• NLP Fundamentals & Text Analysis

• Text Preprocessing & Tokenization

• Feature Engineering: TF-IDF, Word2Vec

• Sentiment Analysis & Classification

• Language Detection & Translation

• Topic Modeling & Text Clustering

• Advanced NLP Applications

Module 8: Generative AI & Large Language Models (LLMs)

• Generative AI Fundamentals

• Transformer Architecture Deep Dive

• Self-Attention & Multi-Head Attention

• BERT, GPT, T5 Model Variants

• Fine-tuning: LoRA, QLoRA Techniques

• Model Evaluation & Performance

• Multi-modal Models & RLHF

Module 9: Prompt Engineering

• Prompt Design Fundamentals

• Few-Shot & Zero-Shot Prompting

• Chain-of-Thought Techniques

• Self-Consistency Methods

• Dynamic Prompting with LangChain

• Optimization Strategies

• Best Practices & Guidelines

Module 10: Retrieval-Augmented Generation (RAG)

• RAG Pipeline Architecture

• Query Embedding & Hybrid Search

• Chunking Techniques & Strategies

• Vector Databases: ChromaDB, Pinecone

• Re-Rankers & Result Optimization

• Hallucination Prevention

• Privacy & Security Considerations

Module 11: Agentic AI Systems

• Autonomous AI System Design

• Decision-making Capabilities

• Feedback Loops & Self-Learning

• ReAct Framework Implementation

• Multi-Agent AI Systems

• CrewAI & Task Delegation

• LangGraph Workflow Design

Module 12: AWS for Generative AI

• AWS S3 for Model Storage

• SageMaker for LLM Development

• AWS Bedrock Foundation Models

• Lambda for Serverless Inference

• AWS Textract Document Processing

• Cloud Infrastructure Setup

• Cost Optimization & Scalability

• Resume preparation & profile creation on job portals

• Email writing & HR discussion guidance

• Daily job activities & first/last-day formalities

• Interview tips, tricks & mock interviews