AI & MACHINE LEARNING
Build Practical AI & Machine Learning Skills
Learn Python, Machine Learning, Deep Learning and Artificial Intelligence through structured learning, practical exercises and real-world style projects.
Start with Python and AI/ML fundamentals, then progress through data handling, machine learning, deep learning, NLP, computer vision and practical AI projects. Choose a learning plan that matches your goals, starting from ₹599.

Learn AI & Machine Learning the Practical Way
Develop practical AI and Machine Learning skills through programming, data analysis, model development and hands-on projects. Choose a learning duration based on your goals and learning pace.
PYTHON & PROGRAMMING
MACHINE LEARNING
PRACTICAL PROJECTS
CAREER-FOCUSED SKILLS
What You'll Learn
AI & MACHINE LEARNING SYLLABUS

A structured 6-month learning path from Python fundamentals to practical Artificial Intelligence and Machine Learning projects.

Month 1 — PYTHON & AI/ML FOUNDATIONS
Python Basics, Data Structures, Algorithms, Development Environment, Mathematics for ML

Month 2 — DATA HANDLING & MACHINE LEARNING BASICS
Numpy, Pandas, Data Cleaning, EDA, Linear Regression, Logistic Regression
Month 3 — APPLIED MACHINE LEARNING

Decision Trees, Random Forests, SVM, KNN, Model Evaluation, Hyperparameter Tuning

Month 4 — ADVANCED MACHINE LEARNING
Clustering, PCA, Recommendation Systems, Time Series, Ensemble Learning

Month 5 — DEEP LEARNING & AI
Neural Networks, CNNs, RNNs, Computer Vision, Transfer Learning, NLP

Month 6 — ADVANCED AI, DEPLOYMENT & CAPSTONE
Generative AI, LLMs, Model Deployment, MLOps, Final Capstone Project

Curriculum Path
The syllabus progresses from Python & foundations to advanced AI, deployment and capstone.
Choose Your Learning Plan
Select the duration that matches your learning goals.
Complete AI & Machine Learning
BEST VALUE
6 MONTHS
₹1,999
✓ Complete AI/ML syllabus
✓ Advanced Machine Learning
✓ Ensemble learning
✓ Deep Learning fundamentals
✓ Neural networks
✓ NLP fundamentals
✓ Computer Vision fundamentals
✓ Generative AI fundamentals
✓ Model deployment basics
✓ Capstone AI/ML project
How It Works
01
Choose Your Plan
Select the Data Analytics duration that suits your goals.
02
Enroll & Pay
Complete your enrollment using the available secure payment method.
03
Learn & Practice
Attend your learning sessions, complete exercises and work on projects.
04
Complete & Get Certified
Complete the applicable course requirements and receive your Certificate of Completion.
Build Skills for Your Career
Develop practical analytical skills, strengthen your project portfolio and prepare to demonstrate your knowledge through projects and interview-focused practice.
Portfolio guidance
Project guidance
Interview preparation
Career-focused learning
Learn Through Practical Projects
Apply your knowledge to practical datasets and business-style problems. Build projects that demonstrate your ability to analyze data, create visualizations and communicate insights.

Sales & Revenue Analysis
Learning Example

Customer & Marketing Analysis
Learning Example

Business Performance Dashboard
Learning Example
Frequently Asked Questions
Who can join the Data Analytics program?
The program is suitable for beginners and learners looking to develop practical data analytics skills. Specific prerequisites may vary by learning plan.
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Do I need previous programming experience?
No prior programming experience is required for the foundation level. Longer plans introduce Python progressively.
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Which plan should I choose?
Choose 1 Month for fundamentals, 2 Months for practical development, 3 Months for a more complete learning path and portfolio work, and 6 Months for extended practice and advanced learning.
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Will I receive a certificate?
A Certificate of Completion is available to learners who meet the applicable course completion requirements.
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How do I enroll?
Select your preferred learning plan and click ENROLL NOW to continue with enrollment and payment.
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Can I change my learning plan?
Contact CAREERX Institute before payment or enrollment changes are finalized to check available options.