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Module-I
CORE PYTHON PROGRAMMING
1.1 Python Syntax & Fundamentals
1.2 Variables, Data Types
1.3 Conditional Statements
1.4 Loops (for, while)
1.5 Functions & Scope
1.6 File Handling
1.7 Exception Handling
1.8 Basic Problem Solving
Module-II
ADVANCED PYTHON & LIBRARIES
2.1 Object-Oriented Programming (OOPs)
2.2 Modules & Packages
2.3 NumPy
2.4 Pandas
2.5 Data Cleaning Operations
2.6 Data Manipulation Techniques
Module-III
FAST APT DEVELOPMENT
3.1 Introduction to REST API
3.2 FastAPI Framework Basics
3.3 Request & Response Models
3.4 API Routing
3.5 JSON Data Handling
Module-IV
SQL DATABASE
4.1 SQL Fundamentals
4.2 SELECT, INSERT, UPDATE, DELETE
4.3 Joins (Inner, Left, Right)
4.4 Group By & Aggregations
4.5 Filtering & Sorting
4.6 Basic Query Optimization
Module -V
POWER BI
5.1 Power BI Interface
5.2 Data Importing
5.3 Data Modeling
5.4 DAX Basics
5.5 Visualizations (Charts, Graphs, Dashboards)
5.6 Report Creation
Module-VI
DATA SCIENCE & MACHINE LEARNING
6.1 Statistics for ML
6.2 Data Preprocessing
6.3 Feature Engineering
6.4 Supervised Learning
6.5 Unsupervised Learning
6.6 Model Evaluation Metrics
Module-VII
MACHINE LEARNING PROJECT
7.1 Data Cleaning in Python
7.2 Model Selection Techniques
7.3 Train-Test Split
7.4 Model Training Pipeline
7.5 Prediction System Design
7.6 Model Evaluation
7.7 Hyperparameter Tuning
7.8 Model Saving (.pkl format)
Module-VIII
ML MODEL INTEGRATION USING FASTAPI
8.1 Loading trained ML model (.pkl)
8.2 FastAPI integration with ML model
8.3 Creating /predict API endpoint
8.4 Input validation
8.5 Response formatting
8.6 Testing API using Postman
Module-IX
DOCKER & GITHUB INTEGRATION
9.1 Docker Fundamentals
9.2 Writing Dockerfile
9.3 Building Docker Images
9.4 Container Execution
9.5 Git & GitHub Workflow (basics)
9.6 Project version control
Module-X
MLOPS USING JENKINS & AWS (basics)
10.1 CI/CD Concepts
10.2 Jenkins Installation & Pipeline Creation
10.3 GitHub Integration with Jenkins
10.4 Automated Build Process
10.5 Docker Image Creation via Pipeline
10.6 AWS EC2 Setup
10.7 Deploying Docker Container on EC2
10.8 Making Model API Publicly Accessible
Module-XI
REACT FRONTEND INTEGRATION (basics)
11.1 React JS Basics
11.2 Component Structure
11.3 API Integration using Axios/Fetch
11.4 Connecting React UI to FastAPI /predict
11.5 Deploying frontend on EC2
GENAI-TOPICS
Module-I
INTRODUCTION TO GENAI & LLMS
1.1 Evolution of AI
1.2 LLM Concepts
1.3 Tokens & Embeddings
1.4 Prompt Completion
1.5 OpenAI Overview
1.6 Claude Overview
1.7 Google AI Studio Overview
1.8 Ollama Setup
1.9 Running Local Models
Module-II
PROMPT ENGINEERING
2.1 System Prompts
2.2 Role Prompting
2.3 Chain-of-Thought
2.4 Prompt Chaining
2.5 JSON Output Generation
2.6 Prompt Evaluation
Module-III
RAG ARCHITECTURE & VECTOR SEARCH
3.1 Embeddings
3.2 Chunking
3.3 Semantic Search
3.4 ChromaDB
3.5 FAISS
3.6 Similarity Search
Module -V
LANGCHAIN & LLAMAINDEX
4.1 LangChain Basics
4.2 Chains & Memory
4.3 Tools & Agents
4.4 LlamaIndex Basics
4.5 Workflow Design
Module-VI
AI AGENTS & AGENTIC WORKFLOWS
5.1 Agent Concepts
5.2 Tool Calling
5.3 AI Planning
5.4 CrewAI
5.5 LangGraph
5.6 Multi-Agent Workflows
5.7 Autonomous Research Assistant
Everything You Need to Become Job-Ready
Structured training, practical learning, and complete career guidance.
| Feature | Our Program |
|---|---|
| Live Interactive Sessions | ✔ Yes |
| Industry Expert Mantor(18+Years experience) | ✔ Yes |
| Real-World Projects | ✔ Yes |
| Hands-on Assignments | ✔ Yes |
| 1-on-1 Doubt Clearing | ✔ Yes |
| Resume Building | ✔ Yes |
| Placement Assistance | ✔ Interview Guidance |
| Course Completion Certificate | ✔ Yes |
| LMS Portal Access | ✔ 1 Year |
Frequently Asked Questions
(Everything you need to know)
What is the duration of the course?
The course duration is 6 months. During this period, you will attend live instructor-led classes, complete hands-on projects, and gain practical experience.
Can I access the course materials after completion?
Yes. You will receive 1 year of LMS portal access from your date of joining. During this period, you can access recorded sessions and course materials anytime through the LMS.
Please note that class materials, including class notes, diagrams, and step-by-step instructions, can be downloaded. However, course videos cannot be downloaded at any time.
After your 1-year LMS access expires, you can renew your LMS subscription if you wish to continue accessing the course content.
Will I receive a course completion certificate?
Yes. A Course Completion Certificate will be awarded upon successfully completing the course requirements.
What if I miss a live session?
No worries! If you miss a live session, you can watch the recorded video anytime through the LMS portal during your 1-year access period.