Foundations of Machine Learning
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Understand AI Fundamentals
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Identify Business Opportunities
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Plan & Execute Projects
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Evaluate Impact & Ethics
60 Hours
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Beginner level
No Prior Knowledge Required
Flexible Learning
Available in Online, Offline, and
Hybrid Modes
60 Hours
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Program Overview
Key Features
Hands-on case study approach (regression, classification, recommender, image search)
Integration with AWS ML ecosystem and devices (DeepLens, DeepRacer, DeepComposer
Exposure to end-to-end ML pipeline: data prep, model building, evaluation, deployment
Modules on software engineering practices (modular code, versioning, testing) in ML projects
Flexible / self-paced learning with real assignments and quizzes
Focus on bridging theory + practice using real AWS tools
Skills Covered
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Supervised, Unsupervised, Reinforcement Learning
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Computer Vision, Deep Learning
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Generative AI / Advanced ML techniques
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Data preparation, feature engineering, model evaluation
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Deployment using AWS (SageMaker) and integration with AWS AI devices
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Software engineering practices relevant for ML (modularity, version control, testing)
Course Curriculum
Module 1 • 10 hour to complete
• Types of learning: supervised, unsupervised, reinforcement
• ML workflow: data → training → testing → deployment
• Applications of ML in IT and business
• Quiz: ML Fundamentals
Module 2 • 10 hour to complete
• Handling missing values and outliers
• Feature scaling and transformation
• Dimensionality reduction basics
• Quiz: Data Preparation & Features
Module 3 • 10 hour to complete
• Decision trees and random forests
• Support Vector Machines (SVMs)
• Model evaluation (accuracy, precision, recall)
• Quiz: Supervised Learning
Module 4 • 10 hour to complete
• Association rules and market basket analysis
• Introduction to reinforcement learning
• Exploration vs exploitation
• Quiz: Unsupervised & RL
Module 5 • 10 hour to complete
• Cross-validation and hyperparameter tuning
• Basics of MLOps: automation and monitoring
• Case study: End-to-end ML pipeline
• Quiz: ML Deployment & Operations
Tools & Technologies
Completion Certificate
Job Role
- Machine Learning Engineer
- Deep Learning / Computer Vision Engineer
- Generative AI / Prompt Engineer
- AI / Data Scientist
- ML Infrastructure / Platform Engineer
- AI Project Lead / Technical Lead
Training Option
OFFLINE
- 24/7 support
- 24/7 support
- 24/7 support
ONLINE
- 24/7 support
- 24/7 support
- 24/7 support
HYBRID
- 24/7 support
- 24/7 support
- 24/7 support
Why Join this Program
Earn a job
Receive complete job assistance tailored to your career goals. Get expert placement guidance to confidently step into the industry.
Leverage knowledge from industry experts
Learn directly from seasoned Trainers and Gain real-world insights that go beyond textbooks.
Industry-relevant Tools & Practical Learning
Get hands-on experience with the latest tools used by top companies. Hands-on learning through 200+ exercises and 10+ projects with seamless access to integrated labs.
Structured, industry-vetted curriculum
A curriculum shaped by experts to meet evolving industry demands. Structured learning ensures you're career-ready from day one.
Integrated with Gen AI Modules
The curriculum includes cutting-edge Generative AI modules designed to align with emerging tech trends.
Interview preparation & Placement assistance
Sharpen your interview skills with practical training and expert guidance. Receive complete placement support to connect with top recruiters.