Become a Professional AI (Generative & Agentic) Expert

Master the core concepts of AI (Generative & Agentic) with our expert-led modules. This comprehensive program is designed to take you from a beginner to an industry-ready professional. Learn through hands-on projects, interactive sessions, and real-world case studies.

25+ Real-World Projects

40+ Hours Live Classes

1:1 Mentorship

Capstone Project

Interview Prep

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Rising Demand for AI (Generative & Agentic)

The industry is growing rapidly. Secure your future in this high-demand field.

95%

Companies actively investing in this domain

20k+

Projected jobs in the next 3 years

85k+

Average starting salary worldwide

Get to Know These Skills

Master the core competencies required by top employers.

Introduction to Fundamentals

Advanced Core Concepts

Tools & Frameworks

Real-World Implementations

Industry Best Practices

Agile & Team Collaboration

Explore Our Course Modules

A step-by-step learning path covering Artificial Intelligence, Machine Learning, Deep Learning, NLP, Generative AI and real-world projects.

Module 1: Machine Learning Algorithms

Understand Artificial Intelligence, Machine Learning and Deep Learning fundamentals.
Learn Python programming for AI and Machine Learning.
Work with NumPy, Pandas, Matplotlib and Seaborn.
Understand supervised and unsupervised learning.
Learn Linear Regression and Logistic Regression.
Work with K-Nearest Neighbors, Decision Trees and Naive Bayes.
Understand Random Forest and Gradient Boosting algorithms.
Learn model evaluation, feature engineering and cross-validation.

Module 2: Deep Learning & Neural Networks

Module 3: Natural Language Processing

Module 4: Generative AI & Large Language Models

Module 5: AI Model Deployment

Module 6: Data Analysis & Feature Engineering

Module 7: AI Projects & Practical Applications

Module 8: AI Tools & Technologies

Module 9: Professional & Career Skills

Module 10: Final Project, Certification & Career Support

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Industry AI Projects

Apply your Artificial Intelligence knowledge through practical mini and major projects.

Machine Learning Project

Data Preparation: Collect, clean and analyse datasets using Python, Pandas and NumPy.

Model Development: Build and evaluate Machine Learning models using Scikit-learn.

Deployment: Deploy the trained model and create an application using tools such as Streamlit.

Generative AI Application

AI Integration: Work with Large Language Models and AI APIs.

Application Development: Build an AI-powered application or chatbot using Generative AI.

Deployment: Deploy the application using Flask or FastAPI and suitable hosting platforms.

Explore Your Future AI Roles

Explore career opportunities across Artificial Intelligence, Machine Learning and data-driven technology.

Machine Learning Engineer

Build and deploy Machine Learning models and AI solutions.

Data Scientist

Analyse data and develop data-driven Machine Learning solutions.

NLP Engineer

Work with Natural Language Processing and language-based AI systems.

AI Research Scientist

Explore Artificial Intelligence research and advanced AI systems.

Deep Learning Engineer

Develop AI solutions using Deep Learning and Neural Networks.

MLOps Engineer

Work with AI model deployment, pipelines and Machine Learning operations.

AI Product Manager

Work with AI-driven products and technology development.

Business Intelligence Analyst

Work with data analysis and business intelligence solutions.

Unlock Premium Learning

Choose the plan that best fits your career goals.

Self-Paced

₹5,999

Lifetime Recorded Sessions
Assignments & Quizzes
Industry Projects
LMS Access

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SHAPE YOUR CAREER WITH COGNIZA