AI & Machine Learning
Master neural networks, deep learning, and AI applications with hands-on projects
6 Months
Duration
12+
Live Projects
94%
Placement Rate
₹12L
Avg. Package
About This Course
Learning Curriculum
A structured, project-driven syllabus designed by industry experts to make you job-ready.
Industry-Aligned Curriculum
Master every layer of modern development through interactive projects and real-world use cases.
Total Chapters
Program Duration
Python for Data Science
- Python Basics & Data Types20 minFree
- Control Flow & Functions20 min
- NumPy & Array Operations25 min
- Pandas DataFrames30 min
- Data Visualization with Matplotlib25 min
Machine Learning Foundations
- What is Machine Learning?15 min
- Linear Regression30 min
- Classification with Logistic Regression35 min
- Decision Trees & Random Forests30 min
- Model Evaluation & Metrics20 min
- Python & ML Quiz10 min
Deep Learning & Neural Networks
- Introduction to Neural Networks25 min
- Building Your First Model with Keras40 min
- Convolutional Neural Networks (CNNs)35 min
- Recurrent Networks & LSTMs30 min
- Transfer Learning & Fine-Tuning30 min
- Deep Learning Quiz10 min
Natural Language Processing
- Text Preprocessing & Tokenization25 min
- Word Embeddings & Word2Vec30 min
- Sentiment Analysis Project45 min
- Transformers & Attention Mechanism35 min
AI in Production
- ML Pipelines with Scikit-learn25 min
- Model Serialization & APIs30 min
- Deploying ML Models with Flask35 min
- Monitoring & Model Drift20 min
- Capstone: End-to-End ML Project45 min
Meet Your Instructors
Learn from industry professionals with real-world expertise.
Sanjay Mehta
Head of Curriculum — Engineering
Skillytics
Sanjay ensures every module aligns with real industry workflows. He bridges the gap between academic theory and shop-floor practice.
LinkedInKavitha Nair
Placement Lead — Core Engineering
Skillytics
Kavitha partners with 300+ manufacturing firms to connect our graduates with the right roles. She runs mock interviews and portfolio reviews.
LinkedInRajesh Kulkarni
Senior Design Engineer
Tata Motors
Rajesh has 12+ years of experience in automotive product design at Tata Motors, Mahindra, and L&T. He has mentored over 5,000 aspiring mechanical engineers and led design teams on production vehicles.
LinkedInTechnologies You'll Master
Master the most in-demand tools and technologies used by top companies.
Python
TensorFlow
PyTorch
Scikit-Learn
Keras
Hugging Face
OpenCV
Docker
Jupyter
AWS
Career Opportunities
Jobs You Can Apply For
ML Engineer
₹10-30 LPA
Build and deploy production ML models and pipelines.
AI Research Scientist
₹12-35 LPA
Advance AI capabilities through novel research and experimentation.
Deep Learning Engineer
₹10-28 LPA
Design and train neural networks for computer vision, NLP, and more.
NLP Engineer
₹10-25 LPA
Build text understanding, generation, and conversational AI systems.
Computer Vision Engineer
₹10-28 LPA
Create systems that understand and process visual information.
AI Product Manager
₹15-40 LPA
Lead AI product strategy and bridge business needs with ML capabilities.
What Our Students Say
Hear from learners who transformed their careers with this course.
"The deep learning modules were exceptional. I built a real-time object detection system as my capstone — it impressed the interviewers at Amazon and I got the offer."
Karthik Menon
Amazon
"Coming from a statistics background, this course bridged the gap to applied AI perfectly. The mentors helped me transition to an ML engineer role at Microsoft."
Divya Krishnan
Microsoft
Frequently Asked Questions
Everything you need to know before you start.
Basic familiarity with linear algebra and statistics helps, but we cover all mathematical foundations needed. A willingness to learn is more important than prior math expertise.
You'll build 12+ projects including image classifiers, chatbots, recommendation systems, generative AI applications, and a capstone deploying a full ML pipeline to production.
No, we start with Python fundamentals. However, basic programming experience in any language will accelerate your learning.
This course focuses deeper on neural networks, deep learning architectures, and AI engineering. Data Science focuses more on analytics, visualization, and statistical modeling.
Master AI & Machine Learning
Join 1,200+ students who have transformed their careers with this program.