Our Courses
Explore our diverse range of courses tailored to meet your unique learning needs and goals.




Introduction to Programming with Python
Course type - Foundation - Suitable for beginners who are just learning to code.
· Syntax and semantics, names, data types
· Collections and manipulations thereof
· Control structures, exception
· Functions
· Numpy, Pandas and Matplotlib
Batch strength: 20 students per batch
Timeline : 12 weeks
Schedule : 3 times a week
Real live project Internships with the industry!
Delivery : OFFLINE - AT INSTITUTE -Face to face
Tuition Fee : INR 35000 + Taxes
10 DAYS MONEY BACK GURANTEE !!
Not satisfied- Get a full refund !!*
Python advanced course
Course type - ADVANCED - Suitable for coders who have basic knowlege of coding in python.
·Testing, logging, documentation and benchmarking
· SymPy, RegExp
· REST API access
· OpenAPI and Dall-E API access
· Object-Oriented Python
Batch strength: 20 students per batch
Timeline : 12 weeks
Schedule : 3 times a week
Real live project Internships with the industry!
Delivery : OFFLINE - AT INSTITUTE - Face to face
Tuition Fee : INR 35000 + Taxes
I want to know more !
10 DAYS MONEY BACK GURANTEE !!
Not satisfied- Get a full refund !!*
Algorithms + Data Structures = Programs
Course type - ADVANCED
· Sorting and Searching
· Scientific computation
· Union-Find
· Greedy Algorithms and Dynamic Programming
· Graph Algorithms
· Hashing
Batch strength: 20 students per batch
Timeline : 12 weeks
Schedule : 3 times a week
Real live project Internships with the industry!
Delivery : OFFLINE - AT INSTITUTE - Face to face
Tuition Fee : INR 35000 + Taxes
I want to know more !
10 DAYS MONEY BACK GURANTEE !!
Not satisfied- Get a full refund !!*


AI Advanced Applications
Course type - ADVANCED- Suitable PROFICIENT CODERS
MNIST
IRIS
Titanic
House Price Prediction
Batch strength: 20 students per batch
Timeline : 12 weeks
Schedule : 3 times a week
Real live project Internships with the industry!
Delivery : OFFLINE - AT INSTITUTE -Face to face
Tuition Fee : INR 35000 + Taxes
I want to know more !
10 DAYS MONEY BACK GURANTEE !!
Not satisfied- Get a full refund !!*
Foundations of AI
Course type - Foundation - Suitable for STUDENTS WITH BASIC KNOWLEDGE OF PYTHON.
Foundational statistics
· Logistic Regression, Linear Discriminant Analysis, KNN
· Support Vector Machines, Kernel methods
Decision Trees, bagging and boosting
Batch strength: 20 students per batch
Timeline : 12 weeks
Schedule : 3 times a week
Real live project Internships with the industry!
Delivery : OFFLINE - AT INSTITUTE -Face to face
Tuition Fee : INR 35000 + Taxes
I want to know more !
10 DAYS MONEY BACK GURANTEE !!
Not satisfied- Get a full refund !!*
Foundations of Machine Learning
Course type - Foundation - for coders
· · Perceptron
· Neural Networks
Deep Neural Networks
· Autoencoders
· Batch strength: 20 students per batch
Timeline : 12 weeks
Schedule : 3 times a week
Real live project Internships with the industry!
Delivery : OFFLINE - AT INSTITUTE -Face to face
Tuition Fee : INR 35000 + Taxes
I want to know more !
10 DAYS MONEY BACK GURANTEE !!
Not satisfied- Get a full refund !!*






AI & ML Essentials for Technical Leaders
Course type - Suitable for Team Leads, Project Managers, and Technical Decision-Makers.
Guide your team effectively
Make informed technical decisions
Communicate confidently with clients
This course is tailored for technically proficient professionals seeking a solid understanding of AI and ML — without diving into complex implementation.
Introduction to Python-Basic to advanced
Setting up your development environment (IDE).
Exploring Python syntax and structure.
Understanding key libraries such as NumPy, Pandas, and Matplotlib.
Building familiarity to read, modify, and discuss code with your team.
AI & ML through Guided Code Demonstrations
Interactive Jupyter notebooks with implementations of essential AI and ML techniques, including:
Classification (kNN, SVM).
Clustering.
Decision Trees.
Different Neural Network architectures
Experimentation with key parameters to understand model behavior.
Discussions on results, interpretations, and real-world relevance.
Add additional libraries to your repertoire, such as scikit-learn and pytorch
Client Use Case Discussions
Analyzing real-world challenges from your own projects.
Exploring how AI and ML can address business objectives.
Collaborative discussion on solution design, feasibility, and risks.
Batch strength: For a minimum batch of 5 employees.
Timeline : 12 weeks
Schedule : 6 hours a week
Delivery : Online/Offline -Hybrid
Tuition Fee : INR 75,000 + Taxes
I want to know more !
10 DAYS MONEY BACK GURANTEE !!
Not satisfied- Get a full refund !!*


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Advanced education in AI and machine learning.
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