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JOB-ORIENTED PROGRAM

AI & Machine Learning Course Syllabus

Learn machine learning, deep learning, NLP, computer vision and generative AI through practical projects.

Google4.9★★★★★Industry projects • Free English • LinkedIn • Portfolio • Placement assistance
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6 Complete Modules
8+ Practical Projects
Live Instructor Training
100% Placement Assistance

Complete Module-wise Curriculum

Structured learning from foundation to practical implementation and career preparation.

01

AI & Python Foundations

  • AI, ML and deep learning overview
  • Python for AI
  • NumPy and pandas
  • Data preparation
  • Mathematical foundations
  • Model development workflow
02

Machine Learning

  • Supervised and unsupervised learning
  • Regression algorithms
  • Classification algorithms
  • Clustering
  • Feature engineering
  • Evaluation and hyperparameter tuning
03

Deep Learning

  • Neural network fundamentals
  • TensorFlow and Keras
  • CNN architecture
  • Sequence models and RNN/LSTM
  • Transfer learning
  • Model optimization
04

Natural Language Processing

  • Text cleaning and tokenization
  • Vectorization and embeddings
  • Text classification
  • Sentiment analysis
  • Transformers overview
  • NLP application project
05

Computer Vision

  • Image processing basics
  • CNN for image classification
  • Object detection overview
  • Data augmentation
  • Transfer learning
  • Computer vision project
06

Generative AI & Deployment

  • Large language model concepts
  • Prompt engineering
  • RAG fundamentals
  • AI agents overview
  • API integration and deployment
  • Responsible AI and portfolio

Practical Projects

Apply every major concept through guided business and industry projects.

Project 1

Predictive Classification System

Project 2

Image Classification Model

Project 3

Sentiment Analysis Application

Project 4

Generative AI Assistant

INDUSTRY PROJECT LAB

8+ Practical & Industry-Level Projects

Apply course concepts through guided projects, business scenarios and a portfolio-ready capstone.

AI Chatbot

Build a context-aware conversational assistant.

Object Detection

Create a computer-vision detection workflow.

Document Q&A System

Develop a retrieval-augmented AI application.

Model Deployment

Package and deploy an AI prediction service.

COMMON CAREER BENEFITS

More Than Technical Training

Every learner receives additional support to communicate confidently, build a professional presence and present practical work.

English Communication

Interview speaking, self-introduction, email writing and presentation confidence.

LinkedIn Optimization

Recruiter-friendly profile, project presentation and networking guidance.

GitHub / Portfolio

Professional project documentation and shareable proof of practical skills.

Interview Preparation

Resume building, technical practice, mock interviews and HR preparation.

PLACEMENT ASSISTANCE

Career Preparation Journey

Structured support from skill assessment through applications and relevant opportunities.

1

Assessment

Skills and career goal review

2

Resume

Role-focused resume building

3

Portfolio

Projects and profile presentation

4

Mock Interview

Technical and HR practice

5

Job Assistance

Applications and relevant openings

Career Preparation Included

Resume building, LinkedIn guidance, portfolio support, mock interviews, doubt-solving sessions and relevant job assistance.

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