Agentic AI Generative AI Course Online in Hyderabad

Master modern AI technologies including Generative AI, AI automation, prompt engineering, intelligent agents, and ChatGPT workflows through practical online training and real-world projects.

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About the Course

Introduction to Agentic AI & Generative AI

The Agentic AI & Generative AI course is designed to help students master modern artificial intelligence technologies through practical online training and real-world projects. This program covers AI fundamentals, prompt engineering, intelligent automation, ChatGPT workflows, and Generative AI tools used in today’s industries. Students will gain hands-on experience, industry-focused knowledge, and future-ready AI skills through live sessions, assignments, and expert mentor guidance.

AI Fundamentals

Prompt Engineering

Generative AI Tools

AI Automation

ChatGPT Workflows

Real-Time Projects

Expert Mentor Guidance

Career-Focused Training

Course Curriculum

Comprehensive Agentic AI & Generative AI Course Curriculum

Master industry-focused AI technologies through a structured curriculum covering Generative AI, prompt engineering, intelligent automation, AI workflows, and real-world projects designed to build practical skills and future-ready expertise.

1 — Python Fundamentals

Python Basics
Learn the fundamentals of Python programming language and its applications in AI and software development.

Key Topics

Introduction to Python

Variables & Keywords

Input & Output Statements

Python Syntax

Data Type Basics

Real-Time Applications
Data Types & Operators
Understand Python data structures and operators used for programming and data processing.

Key Topics

Integers & Strings

Lists & Tuples

Sets & Dictionaries

Arithmetic Operators

Logical Operators

Comparison Operators
Control Statements
Master program flow using conditional statements and loops for automation and logic building.

Key Topics

If & Else Statements

Nested Conditions

For Loop

While Loop

Break & Continue

Problem Solving Logic
Functions & Modules
Learn reusable programming concepts using functions, modules, and Python libraries.

Key Topics

User Defined Functions

Function Arguments

Return Statements

Lambda Functions

Python Modules

Import Statements
File Handling
Understand how to read, write, and manage different file formats using Python.

Key Topics

Text File Handling

CSV File Processing

JSON File Handling

Read & Write Operations

File Methods

Data Management
Exception Handling
Learn error handling techniques to build secure and reliable Python applications.

Key Topics

Try & Except

Finally Block

Runtime Errors

Error Debugging

Custom Exceptions

Error Management

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NumPy
Learn numerical computing and array operations for AI and Data Science applications.

Key Topics

NumPy Arrays

Matrix Operations

Array Indexing

Mathematical Functions

Reshaping Arrays

Numerical Computation
Pandas
Master data analysis and data manipulation using powerful Pandas tools and techniques.

Key Topics

DataFrames & Series

Data Importing

Data Filtering

Handling Missing Values

GroupBy Operations

Data Processing
Matplotlib
Create professional charts and graphical reports for data analysis and visualization.

Key Topics

Line Charts

Bar Graphs

Pie Charts

Histograms

Plot Styling

Graph Customization
Data Visualization
Transform complex datasets into meaningful visual insights using modern visualization techniques.

Key Topics

Visual Reporting

Dashboard Concepts

Trend Analysis

Data Presentation

Interactive Graphs

Analytical Visualization
Array Operations
Perform advanced array calculations and numerical operations for efficient data processing.

Key Topics

Array Slicing

Array Reshaping

Broadcasting

Aggregation Functions

Matrix Calculations

Array Manipulation
Data Cleaning
Learn techniques to clean, organize, and prepare datasets for accurate data analysis.

Key Topics

Handling Null Values

Removing Duplicates

Data Formatting

Data Transformation

Error Correction

Dataset Preparation

Linear Algebra
Understand mathematical concepts used in Machine Learning and AI model development.

Key Topics

Vectors & Matrices

Matrix Operations

Eigenvalues

Eigenvectors

Linear Equations

Mathematical Computation
Probability
Learn probability concepts used for predictions, data analysis, and AI decision-making.

Key Topics

Probability Basics

Conditional Probability

Probability Distributions

Random Variables

Statistical Probability

Data Predictions
Statistical Analysis
Analyze and interpret data using statistical methods and analytical techniques.

Key Topics

Data Analysis

Mean & Median

Standard Deviation

Data Distribution

Variance Analysis

Statistical Interpretation
Hypothesis Testing
Learn statistical testing methods used for validating assumptions and data analysis.

Key Topics

Null Hypothesis

Alternative Hypothesis

Type I & II Errors

Significance Testing

Statistical Validation

Data Evaluation
Z Score & Variance
Understand data spread, variability, and statistical measurement techniques for analytics.

Key Topics

Z Score Calculation

Variance Concepts

Data Variability

Standardization

Statistical Measures

Analytical Techniques

Introduction to AI
Learn the fundamentals of Artificial Intelligence and its impact on modern technology industries.

Key Topics

Basics of AI

History of AI

AI Concepts

Intelligent Systems

AI Technologies

Real-World AI Usage
Types of AI
Understand different types of Artificial Intelligence and how they are used in modern systems.

Key Topics

Narrow AI

General AI

Super AI Concepts

Reactive Machines

Self-Learning Systems

AI Capabilities
AI Applications
Explore how Artificial Intelligence is transforming industries through smart automation solutions.

Key Topics

Healthcare AI

AI in Business

AI Automation

Smart Assistants

AI Chatbots

Industry Applications
AI vs ML vs DL vs GenAI
Understand the differences between AI, Machine Learning, Deep Learning, and Generative AI.

Key Topics

Artificial Intelligence

Machine Learning

Deep Learning

Generative AI

AI Technologies Comparison

Modern AI Evolution

Supervised Learning
Learn Machine Learning models trained using labeled datasets for accurate predictions.

Key Topics

Labeled Data

Prediction Models

Training & Testing

Regression Algorithms

Classification Methods

Model Evaluation
Unsupervised Learning
Understand data analysis techniques used to identify hidden patterns and structures.

Key Topics

Unlabeled Data

Pattern Recognition

Data Grouping

Clustering Methods

Dimensionality Reduction

Data Analysis
Regression Models
Learn predictive algorithms used to estimate continuous numerical outcomes from data.

Key Topics

Linear Regression

Logistic Regression

Prediction Analysis

Model Accuracy

Regression Techniques

Data Forecasting
Classification Algorithms
Understand algorithms used to classify and categorize data into different classes.

Key Topics

Decision Trees

Random Forest

KNN Algorithm

Naive Bayes

Support Vector Machine

Classification Models
Clustering Techniques
Learn clustering methods used to group similar datasets for pattern identification.

Key Topics

K-Means Clustering

Hierarchical Clustering

Data Segmentation

Similarity Analysis

Cluster Evaluation

Pattern Discovery

Career Opportunities After This Course

AI Engineer

Prompt Engineer

AI Automation Specialist

Generative AI Developer

AI Content Strategist

Machine Learning Associate

Tools & Platforms

ChatGPT

OpenAI Tools

AI Workflow Platforms

Automation Tools

Python Basics

Cloud AI Platforms

Why Choose Chhavishka IT?

Choose Chhavishka IT for industry-focused training, practical learning, expert mentorship, and dedicated placement support designed to help you build real-world skills and grow your career in the IT industry with confidence.

Expert Industry Mentors

Learn directly from experienced IT professionals with real-world expertise.

Project-Based Learning

Gain hands-on experience through assignments, projects, and live sessions.

One Year Class Access

Revisit live sessions and learning materials anytime with one-year free access.

Career & Placement Support

Get resume guidance, mock interviews, and job assistance support.

Flexible Online Learning

Attend live online classes from anywhere with flexible learning schedules.

Multiple Batch Access

Get access to multiple live class batches for flexible and convenient learning.

Frequently Asked Questions

Who Can Join This Course?

This course is designed for students, graduates, working professionals, and beginners who want to build a career in Artificial Intelligence and modern technologies. No advanced technical background is required, as the training starts from fundamentals and gradually moves to advanced AI concepts.
Is Coding Knowledge Required?
What Technologies Will I Learn in This Course?
Will I Work on Real-Time Projects?

Yes, the course includes hands-on assignments, mini projects, and real-time capstone projects to help students gain practical industry experience. Learners will build AI chatbots, automation workflows, and Generative AI applications using modern tools and frameworks.
Do You Provide Placement Assistance?
Will I Get Access to Recorded Classes?

Agentic AI Generative AI Course Online in Hyderabad

Book Free Demo

About the Course

Introduction to Agentic AI & Generative AI

Course Curriculum

Comprehensive Agentic AI & Generative AI Course Curriculum

Career Opportunities After This Course

Tools & Platforms

Why Choose Chhavishka IT?

Frequently Asked Questions

Book Your Free Demo

Quick Links

Courses

Book Your Free Demo Session

Agentic AI Generative AI Course Online in Hyderabad

Book Free Demo

About the Course

Introduction to Agentic AI & Generative AI

Course Curriculum

Comprehensive Agentic AI & Generative AI Course Curriculum

Download Course Brochure

Thank You!

Career Opportunities After This Course

Tools & Platforms

Why Choose Chhavishka IT?

Frequently Asked Questions

Book Your Free Demo

Quick Links

Courses

Book Your Free Demo Session