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🤖 Data Science, AI & ML

Become an AI Engineer

Become an AI Engineer — The Most In-Demand Role of the Decade

⏱5–7 Months
📚16 Modules
🏗️6 Real Projects
📊Beginner to Advanced
Enroll in This Course View Curriculum ↓
AI ML Input Hidden L1 Hidden L2 Output
About This Course

What You'll Learn

Artificial Intelligence and Machine Learning are reshaping every industry. This programme takes you from Python and statistics fundamentals through machine learning algorithms, deep learning with TensorFlow and PyTorch, NLP, computer vision, and deploying AI models into production. Build a portfolio of AI projects that will set you apart.

Curriculum

Course Modules

Phase 1

Foundations

  • Python for Data Science
  • Statistics & Probability
  • NumPy, Pandas & Matplotlib
  • Data Cleaning & EDA
Phase 2

Machine Learning

  • Supervised & Unsupervised Learning
  • scikit-learn & Model Evaluation
  • Feature Engineering
  • Regression, Classification, Clustering
Phase 3

Deep Learning & AI

  • Neural Networks (ANN, CNN, RNN)
  • TensorFlow & PyTorch
  • Natural Language Processing (NLP)
  • Computer Vision Projects
Phase 4

Production & BI

  • Model Deployment (Flask / FastAPI)
  • MLOps & Model Monitoring
  • Power BI & Tableau
  • Capstone AI Project
Tools & Technologies

What You'll Work With

PythonTensorFlowPyTorchscikit-learnPandasPower BITableauFastAPIMLflowAWS SageMaker
Career Outcomes

Jobs You Can Apply For

Data Scientist
ML Engineer
AI Engineer
Data Analyst
NLP Engineer
Computer Vision Engineer
₹6–20 LPA
Expected Salary RangeBased on current industry hiring data for freshers and experienced professionals.
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