Artificial Intelligence Training Institute in Dilsukhnagar Hyderabad

Welcome to SR Digital Academy – SAP, Data Science & AI Training Institute, a leading Artificial Intelligence training institute in Dilsukhnagar, Hyderabad. Our Artificial Intelligence (AI) Course is designed to equip students, freshers, graduates, working professionals, and business owners with the skills required to build intelligent systems and leverage AI technologies in real-world applications.

The course provides comprehensive training in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Generative AI, Prompt Engineering, AI Agents, and AI Automation. Through practical assignments, live projects, and industry case studies, learners gain hands-on experience in implementing AI solutions across various domains.

Our expert trainers ensure that every student develops strong technical skills and gains exposure to the latest AI tools and technologies used by leading organizations worldwide.

Why Choose SR Digital Academy for AI Training?

  • Industry-focused AI curriculum

  • Live projects and real-time case studies

  • Generative AI and Prompt Engineering training

  • AI Agent Development

  • Resume building and interview preparation

  • Placement assistance

  • Flexible classroom and online training

  • Certification upon successful completion

Artificial Intelligence Course Content

Module 1: Introduction to Artificial Intelligence

  • What is Artificial Intelligence?

  • History and Evolution of AI

  • Types of Artificial Intelligence

  • AI Applications Across Industries

  • AI Career Opportunities

  • Future of AI

Module 2: Python Programming for AI

  • Python Fundamentals

  • Variables and Data Types

  • Operators and Expressions

  • Conditional Statements

  • Loops and Functions

  • File Handling

  • Object-Oriented Programming

  • Python Libraries for AI

Module 3: Mathematics for Artificial Intelligence

  • Linear Algebra Basics

  • Matrices and Vectors

  • Probability Concepts

  • Statistics Fundamentals

  • Descriptive Statistics

  • Calculus Basics

  • Optimization Techniques

Module 4: Data Analysis and Visualization

  • NumPy Fundamentals

  • Pandas Data Manipulation

  • Data Cleaning Techniques

  • Exploratory Data Analysis (EDA)

  • Matplotlib

  • Data Visualization Best Practices

Module 5: Machine Learning Fundamentals

  • Introduction to Machine Learning

  • Machine Learning Workflow

  • Types of Machine Learning

  • Model Training and Testing

  • Performance Evaluation Metrics

Module 6: Supervised Machine Learning

  • Linear Regression

  • Logistic Regression

  • Decision Trees

  • Random Forest

  • K-Nearest Neighbors (KNN)

  • Support Vector Machines (SVM)

  • Naive Bayes

Module 7: Unsupervised Machine Learning

  • Clustering Techniques

  • K-Means Clustering

  • Hierarchical Clustering

  • DBSCAN

  • Dimensionality Reduction

  • Principal Component Analysis (PCA)

Module 8: Deep Learning

  • Introduction to Neural Networks

  • Artificial Neural Networks (ANN)

  • Activation Functions

  • Forward Propagation

  • Backpropagation

  • TensorFlow Basics

  • Keras Framework

Module 9: Computer Vision

  • Introduction to Computer Vision

  • Image Processing Fundamentals

  • OpenCV

  • Image Classification

  • Object Detection

  • Face Recognition

  • Real-Time Vision Applications

Module 10: Natural Language Processing (NLP)

  • Introduction to NLP

  • Text Preprocessing

  • Tokenization

  • Stemming and Lemmatization

  • Sentiment Analysis

  • Text Classification

  • Chatbot Development

Module 11: Generative AI

  • Introduction to Generative AI

  • Large Language Models (LLMs)

  • ChatGPT Applications

  • Gemini AI

  • Claude AI

  • AI Content Generation

  • AI Image Generation

  • AI-Powered Productivity Tools

Module 12: Prompt Engineering

  • Fundamentals of Prompt Engineering

  • Prompt Design Techniques

  • Role-Based Prompting

  • Chain of Thought Prompting

  • Business Use Cases

  • AI Workflow Optimization

Module 13: AI Agents and Automation

  • AI Agent Fundamentals

  • Autonomous AI Agents

  • AI Automation Workflows

  • LangChain Basics

  • Multi-Agent Systems

  • Business Process Automation

Module 14: AI Model Deployment

  • Model Packaging

  • Flask Framework

  • Streamlit Applications

  • API Integration

  • Cloud Deployment Overview

  • Production Best Practices

Module 15: Responsible Artificial Intelligence

  • AI Ethics

  • Explainable AI (XAI)

  • Bias and Fairness

  • Data Privacy

  • Security Considerations

  • Regulatory Compliance

Capstone Projects

Beginner Projects

  • AI Chatbot

  • Movie Recommendation System

  • Spam Detection System

Intermediate Projects

  • Customer Churn Prediction

  • Resume Screening Application

  • Sales Forecasting Model

Advanced Projects

  • AI Virtual Assistant

  • Face Recognition Attendance System

  • AI-Powered Business Analytics Dashboard

  • Generative AI Content Creator

Tools Covered

  • Python

  • Jupyter Notebook

  • Google Colab

  • NumPy

  • Pandas

  • Matplotlib

  • Scikit-Learn

  • TensorFlow

  • Keras

  • OpenCV

  • NLTK

  • Hugging Face

  • LangChain

  • OpenAI APIs

  • Streamlit

  • Git & GitHub

Course Duration

  • Fast Track: 3 Months

  • Regular Program: 4 Months

  • Advanced Program: 6 Months

Career Opportunities

  • Artificial Intelligence Engineer

  • Machine Learning Engineer

  • Data Scientist

  • AI Consultant

  • Prompt Engineer

  • AI Automation Specialist

  • Generative AI Specialist

  • NLP Engineer

  • Computer Vision Engineer

Certification

Students will receive an Artificial Intelligence Course Completion Certificate from SR Digital Academy along with project experience and placement assistance support.

Enroll today in the best Artificial Intelligence Course Training in Dilsukhnagar Hyderabad at SR Digital Academy – SAP, Data Science & AI Training Institute and build a successful career in Artificial Intelligence.