AI Training in Bangalore
Be tech-savvy in essential technologies, including Python, AI, ML, NLP, etc.,
with AI Training in Bangalore.
- Enroll in interactive classroom or online sessions under expert guidance.
- Master Artificial Intelligence by designing your AI prompt to generate the output that a user desires – text, images, coding, and more in real-world projects.
- Build models for AI that support automated decision-making and data analysis for creating predictive solutions to counter practical problems.
World-Class Instructors
1:1 with Industry Mentors
55% Avg. Salary Hike
Interview Preparation
World-Class Instructors
1:1 with Industry Mentors
55% Avg. Salary Hike
Interview Preparation
What are the skills you’ll learn in the Artificial Intelligence Course?
Equip yourself with Techpragna’s Artificial Intelligence Course in Bangalore to impress a human resources manager that paves your way to walk in as an employee. Learn AI and ML with deep learning, natural language processing, and so on, supported by hands-on experience to get an unfair advantage.
Artificial Intelligence Coaching: Salient Features
- Adept in Essential Tools: Python, TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, Jupyter Notebook, and OpenCV.
- Skilled in Core Concepts: Machine Learning, Deep Learning, Neural Networks, NLP, Computer Vision, Reinforcement Learning, and Generative AI.
- Hands-on project experience: Build unique and interactive AI-powered chatbots followed by recommendation systems, predictive models, image recognition applications, and more…
- Interactive Training by industry experts: Attend the best AI courses in Bangalore where there is a scope to ask out-of-the-box questions for project implementation.
- Up-to-date industry-oriented curriculum: Be a step ahead of others by gaining practical experience via case studies and live projects that go well with current industry trends.
- Guaranteed Placement Assistance: Launch a lucrative and long-term AI career through resume writing, mock interviews, and career guidance.
Request more information
What You’ll Learn
Accelerate your career in software testing with our Software Testing Training at Tech Pragna in Bangalore. This comprehensive course equips you with the skills and techniques to ensure software quality, automate tests, and identify defects—perfect for both beginners and working professionals
Software Testing Training – Key Features
- Master Essential Tools: Selenium, JIRA, Postman, LoadRunner, TestNG, and Jenkins
- Learn Core Concepts: Test planning, manual testing, automation testing, performance testing, and defect management
- Hands-On Projects: Work on real-world testing scenarios and practical test automation
- Live Interactive Sessions: Attend online and offline sessions led by top industry professionals
- Live online and offline interactive sessions from top industry professionals

- Guaranteed placement support through our career advancement services

Request more information
Artificial Intelligence Program Curriculum
Module 1:Introduction to Artificial Intelligence and Python Setup
- Introduction to Artificial Intelligence, Machine Learning, and Deep Learning
- AI applications and industry use cases
- Installing Python, Anaconda, and Jupyter Notebook
- Environment setup using VS Code
- Understanding AI development workflow
- Mini Task: Set up the AI development environment and execute your first AI program
Module 2: Python Programming for AI
- Python fundamentals for AI
- Variables, data types, operators, and control statements
- Functions and modules
- Object-Oriented Programming (OOP) basics
- File handling
- Mini Task: Build a Python-based data processing application
Module 3: Mathematics for Artificial Intelligence
- Linear Algebra fundamentals
- Probability and Statistics
- Calculus basics for AI
- Vectors and Matrices
- Data visualization concepts
- Mini Task: Solve mathematical problems using Python
Module 4: Data Analysis with NumPy and Pandas
- NumPy arrays and matrix operations
- Data manipulation with Pandas
- Data cleaning and preprocessing
- Handling missing values
- Data aggregation and filtering
- Mini Task: Analyze and clean a real-world dataset
Module 5: Data Visualization
- Introduction to Matplotlib
- Data visualization using Seaborn
- Charts, graphs, and dashboards
- Exploratory Data Analysis (EDA)
- Data storytelling techniques
- Mini Task: Create interactive data visualization reports
Module 6: Machine Learning Fundamentals
- Introduction to Machine Learning
- Supervised vs Unsupervised Learning
- Machine Learning workflow
- Feature engineering
- Model evaluation metrics
- Mini Task: Build your first Machine Learning model
Module 7: Supervised Machine Learning
- Linear Regression
- Logistic Regression
- Decision Trees
- Random Forest
- Support Vector Machines (SVM)
- Mini Task: Develop a predictive machine learning application
Module 8: Unsupervised Learning
- Clustering algorithms
- K-Means Clustering
- Hierarchical Clustering
- Dimensionality Reduction (PCA)
- Anomaly Detection
- Mini Task: Customer segmentation project
Module 9: Deep Learning Fundamentals
- Introduction to Neural Networks
- Artificial Neural Networks (ANN)
- Activation Functions
- Backpropagation
- TensorFlow and Keras basics
- Mini Task: Build a basic neural network model
Module 10: Computer Vision
- Image processing fundamentals
- OpenCV basics
- Convolutional Neural Networks (CNN)
- Image classification
- Object detection overview
- Mini Task: Image classification project
Module 11: Natural Language Processing (NLP)
- Text preprocessing
- Tokenization and Vectorization
- Sentiment Analysis
- Named Entity Recognition
- Transformer model overview
- Mini Task: Build a sentiment analysis application
Module 12: Generative AI and Large Language Models
- Introduction to Generative AI
- Large Language Models (LLMs)
- Prompt Engineering
- AI Assistants and Chatbots
- AI APIs and integrations
- Mini Task: Build an AI chatbot using an LLM API
Module 13: Model Deployment and MLOps
- Model serialization
- Flask/FastAPI deployment
- API development
- Introduction to MLOps
- Model monitoring basics
- Mini Task: Deploy an AI model as a REST API
Module 14: AI Ethics, Security, and Responsible AI
- AI ethics and governance
- Bias and fairness in AI
- Data privacy and security
- Responsible AI practices
- AI regulations overview
- Mini Task: Evaluate AI models for fairness and bias
Module 15: AI Project Development
- End-to-end AI project lifecycle
- Data collection and preprocessing
- Model training and optimization
- Hyperparameter tuning
- Project documentation
- Mini Task: Develop a complete AI solution using real-world data
Module 16: Capstone Project, GitHub Portfolio & Interview Preparation
- End-to-end AI Capstone Project
- Git and GitHub for AI projects
- Resume and LinkedIn optimization
- Mock technical interviews
- AI coding assessments
- Final Project: Design, build, deploy, and present a production-ready Artificial Intelligence application using Machine Learning, Deep Learning, and Generative AI technologies.
Master In-Demand Skills with Practical, Industry-Based Learning
Roles performed by AI professionals
Manual Tester
Executes test cases to identify bugs and ensure software meets quality standards through detailed reporting
Test Analyst
Analyzes requirements and business processes to design effective test plans and recommend quality improvements
Automation Tester
Develops automated test scripts using tools like Selenium to increase testing efficiency and coverage
Performance Tester
Conducts load and stress testing to evaluate application performance and scalability under different conditions
Test Engineer
Builds and maintains test environments, integrates testing into CI/CD pipelines, and supports test automation frameworks
QA Consultant
Provides expert guidance to organizations on improving testing processes, quality assurance strategies, and defect management
Skills Covered
Test Planning
Manual Testing
Test Automation
Performance Testing
Defect Tracking
SQL Querying
Scripting (Python/Java)
Test Case Design
Continuous Integration
Quality Assurance Practices
Software Testing Tools Covered
Machine Learning Engineer
The machine learning engineer’s role is to create, develop, and deploy algorithms that enable machines to extract the given data and make accurate decisions.
Data Scientist
Analyzes and decodes large, complex datasets to extract relevant, insightful data for critical business decisions.
Data Mining and Analysis
Extracts meaningful patterns and trends from large datasets using revolutionary tools.
AI Research Scientist
The role of an AI Research Scientist is to push the boundaries of AI technologies through innovative experiments and the creation of algorithms.
Robotics Engineer
Creates a blueprint and builds and programs robots for performing iterative tasks.
NLP Engineer
Builds interactive systems for interacting with humans in their languages… Chatbots and translation services are well-known examples.
Skills Covered
Python Programming
Machine Learning
Deep Learning
Natural Language Processing (NLP)
Computer Vision
Generative AI
Prompt Engineering
Data Analysis & Visualization
Model Deployment & MLOps
AI Agents & Automation
Career Services
Industry-based Curriculum
Career Services – Resume& LinkedIn profile building
Training conducted by industry experts
Customized or individual guidance
Interview Preparation – Mock Interviews
Individual/personalized mentoring session.
Career Services
Placement Assistance
Personalized Guidance
Mock Interview Preparation
One-on-One Mentoring session
Career Oriented Seesions
Resume & LinkedIn Profile Building
How our program works
Enhance Your Skills to Transform Your Career Path
- Gain official proof of your expertise from a trusted institution, increasing your value in the eyes of employers and clients.
- Stand out in competitive job markets and unlock better job roles, promotions, or freelance opportunities.
- Certifications ensure your skills are aligned with current industry standards, making you job-ready from day one.
- Completing a certified course strengthens your belief in your capabilities and readiness to tackle real-world challenges.
- Join a professional community, gain access to hiring managers, and receive support from placement partners and mentors.
Projects for AI Training in Bangalore
Land Your Dream Job Our Alumni
Artificial Intelligence Training FAQ
What is an AI course?
An AI or Artificial Intelligence Course is one of the computer courses that equips you with building intelligent systems like machine learning, Deep Learning, NLP, and so on. Our course is a blend of theory and practice, which includes hands-on experience.
Who is eligible for admission to AI?
The AI course is open to all students – graduates, IT and Non-IT professionals, data analysts, and others. Though basic programming knowledge is an advantage, it isn’t mandatory.
Do I need previous coding knowledge?
No, you don’t need previous coding knowledge. However, basic programming, mathematics, and logical reasoning help you learn these concepts, which would be covered in the curriculum.
Will your Artificial Intelligence Course provide live projects?
Yes, our course would include live projects with expert assistance, which you can showcase in the interview.
Does Techpragna provide placement services after the AI Course?
Yes, our programs provide placement services with interview preparation and resume writing services.
What is the pay package in the industry after completing the course?
As a fresher, an AI professional draws a salary of Rs. 6-12 LPA. On the other hand, the salary of an experienced professional would be at least 18 LPA. In other words, salary increases with experience.
What Our Learners Have To Say
Explore the Latest Trending Courses
Cloud Computing
- Online/Offline
- 6 Months
- Professional Level Certification
- Projects and Case Study
Data Science
- Online/Offline
- 6 Months
- Professional Level Certification
- Projects and Case Study
Network Engineering
- Online/Offline
- 6 Months
- Professional Level Certification
- Projects and Case Study
Cyber Security
- Online/Offline
- 6 Months
- Professional Level Certification
- Projects and Case Study