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Artificial Intelligence & Build the Future with Intelligent Technology
Learn industry-relevant AI concepts including machine learning, data analysis, automation, and AI tools to solve real business and technical challenges.
Artificial Intelligence That Drives Intelligent Innovation
Our artificial intelligence programs are designed to equip individuals and businesses with practical AI skills to build intelligent systems, automate processes, and deliver scalable, data-driven solutions.
Duration
3 Months
Sessions
36
Classes Days
Mon, Wed, Fri
Summary Of The Course
This Advanced Artificial Intelligence Professional course is designed for learners who want to reach an industry-ready level and already have a basic understanding of programming, data, or technical concepts. The course focuses on core AI principles, machine learning, data analysis, automation, model development, deployment practices, and AI-assisted workflows to build intelligent, scalable, and real-world AI solutions.
Machine Learning Model Development
Data Analysis & Predictive Modeling Projects
AI-Powered Automation & Intelligent Systems
Client-Style & Portfolio-Ready AI Projects
Learners will complete hands-on projects including machine learning model creation, data processing and analysis, AI automation tasks, intelligent application development, and client-style assignments, resulting in portfolio-ready final AI projects.
Artificial Intelligence Fundamentals & Core Concepts
Machine Learning Algorithms & Model Training
Data Preprocessing & Feature Engineering
Supervised & Unsupervised Learning Techniques
Model Evaluation & Performance Optimization
AI Model Deployment & Real-World Applications
Ethical AI, Bias & Responsible AI Practices
Learners will gain a solid understanding of how AI systems are designed, trained, evaluated, and deployed to solve real-world problems across industries.
Python for Artificial Intelligence
Machine Learning Libraries (Scikit-learn)
Deep Learning Frameworks (TensorFlow / PyTorch)
Data Analysis Tools (NumPy, Pandas)
Visualization Tools (Matplotlib, Seaborn)
Model Deployment Basics & APIs
Version Control & Experiment Tracking
Participants will develop hands-on skills using industry-standard AI tools and frameworks to build, test, and deploy intelligent systems.
AI-Assisted Model Building & Optimization
Automated Data Cleaning & Feature Selection
Generative AI for Content & Code Support
AI-Powered Predictions & Decision Automation
Workflow Automation using AI Tools
Intelligent Chatbots & Recommendation Systems
Ethical & Secure Use of AI Automation
Students will learn how to leverage AI tools to automate repetitive tasks, accelerate development, improve accuracy, and create scalable intelligent solutions—without compromising ethics or quality.
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Course Modules
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📚 Table of Contents
Orientation & Artificial Intelligence Foundations
Session Subjects Discussed
Evolution of Artificial Intelligence & Industry Trends
Overview of AI, Machine Learning & Deep Learning
Real-World Applications of AI Across Industries
AI System Architecture & Workflow
Introduction to Data-Driven Decision Making
Ethics, Bias & Responsible AI
AI Career Paths & Professional Roles
Python Programming for Artificial Intelligence
Session Subjects Discussed
Python Fundamentals for AI
Working with Data Types & Functions
Control Structures & Loops
File Handling & Data Processing
Introduction to NumPy & Pandas
Writing Clean & Efficient AI Code
Best Practices for Python Development
Data Analysis & Preprocessing
Session Subjects Discussed
- Data Collection & Data Understanding
Data Cleaning & Handling Missing Values
Feature Selection & Feature Engineering
Data Transformation & Scaling
Exploratory Data Analysis (EDA)
Data Visualization Techniques
Preparing Data for AI Models
Machine Learning Fundamentals
Session Subjects Discussed
Introduction to Machine Learning Algorithms
Supervised vs Unsupervised Learning
Regression & Classification Techniques
Clustering & Dimensionality Reduction
Model Training & Testing
Performance Metrics & Evaluation
Improving Model Accuracy
Deep Learning & Neural Networks
Session Subjects Discussed
Fundamentals of Neural Networks
Deep Learning Concepts & Architectures
Artificial Neural Networks (ANN)
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Training Deep Learning Models
Real-World Deep Learning Applications
AI Model Deployment & Integration
Session Subjects Discussed
Model Deployment Concepts
Integrating AI Models with Applications
APIs for AI Models
Cloud & Edge AI Basics
Performance Optimization & Scaling
Monitoring AI Models
Security & Data Privacy in AI Systems
AI Automation & Generative AI
Session Subjects Discussed
AI Automation & Workflow Optimization
Generative AI Concepts & Use Cases
AI Tools for Content & Code Generation
Chatbots & Intelligent Assistants
Recommendation Systems
AI-Powered Business Automation
Ethical Use of Generative AI
AI Projects, Portfolio & Career Development
Session Subjects Discussed
Real-World AI Project Development
End-to-End AI Solution Design
Client-Style & Industry-Based Projects
Portfolio & Case Study Creation
Freelancing & AI Project Opportunities
Interview Preparation & AI Assessments
Career Growth & Professional Readiness
📚 Table of Contents
Orientation & Artificial Intelligence Foundations
Session Subjects Discussed
Evolution of Artificial Intelligence & Industry Trends
Overview of AI, Machine Learning & Deep Learning
Real-World Applications of AI Across Industries
AI System Architecture & Workflow
Introduction to Data-Driven Decision Making
Ethics, Bias & Responsible AI
AI Career Paths & Professional Roles
Python Programming for Artificial Intelligence
Session Subjects Discussed
Python Fundamentals for AI
Working with Data Types & Functions
Control Structures & Loops
File Handling & Data Processing
Introduction to NumPy & Pandas
Writing Clean & Efficient AI Code
Best Practices for Python Development
Data Analysis & Preprocessing
Session Subjects Discussed
- Data Collection & Data Understanding
Data Cleaning & Handling Missing Values
Feature Selection & Feature Engineering
Data Transformation & Scaling
Exploratory Data Analysis (EDA)
Data Visualization Techniques
Preparing Data for AI Models
Machine Learning Fundamentals
Session Subjects Discussed
Introduction to Machine Learning Algorithms
Supervised vs Unsupervised Learning
Regression & Classification Techniques
Clustering & Dimensionality Reduction
Model Training & Testing
Performance Metrics & Evaluation
Improving Model Accuracy
Deep Learning & Neural Networks
Session Subjects Discussed
Fundamentals of Neural Networks
Deep Learning Concepts & Architectures
Artificial Neural Networks (ANN)
Convolutional Neural Networks (CNN)
Recurrent Neural Networks (RNN)
Training Deep Learning Models
Real-World Deep Learning Applications
AI Model Deployment & Integration
Session Subjects Discussed
Model Deployment Concepts
Integrating AI Models with Applications
APIs for AI Models
Cloud & Edge AI Basics
Performance Optimization & Scaling
Monitoring AI Models
Security & Data Privacy in AI Systems
AI Automation & Generative AI
Session Subjects Discussed
AI Automation & Workflow Optimization
Generative AI Concepts & Use Cases
AI Tools for Content & Code Generation
Chatbots & Intelligent Assistants
Recommendation Systems
AI-Powered Business Automation
Ethical Use of Generative AI
AI Projects, Portfolio & Career Development
Session Subjects Discussed
Real-World AI Project Development
End-to-End AI Solution Design
Client-Style & Industry-Based Projects
Portfolio & Case Study Creation
Freelancing & AI Project Opportunities
Interview Preparation & AI Assessments
Career Growth & Professional Readiness
Why Learn Artificial Intelligence?
Build in-demand AI skills, create intelligent and scalable solutions, and unlock high-growth career opportunities using modern, industry-relevant artificial intelligence technologies.
Stronger Artificial Intelligence Careers
Build in-demand AI expertise that leads to roles in data science teams, AI startups, technology companies, and innovation-driven organizations.
Freelancing & Remote Income
Work with global clients, develop AI-powered solutions, automate workflows, and earn online through machine learning, data analysis, and AI automation projects.
Business & Digital Growth
Build and scale intelligent products or business systems by leveraging AI for automation, predictive insights, and smarter decision-making that drives growth.
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FAQ About Techverse
Get answers about our NAVTTC, PSDF & TEVTA approved courses, job placement support, and career transformation programs
What is the Artificial Intelligence program at TechVerse by BGMC?
TechVerse’s Artificial Intelligence program is a comprehensive, industry-focused course designed to equip learners with practical skills in AI fundamentals, machine learning, data analysis, automation, and real-world AI applications.
Where is the Artificial Intelligence training offered?
The Artificial Intelligence training is offered through flexible learning modes, including on-campus and online sessions, enabling learners to study from anywhere with expert mentorship.
Who can enroll in the Artificial Intelligence course?
This course is suitable for students, fresh graduates, professionals, entrepreneurs, and freelancers who want to build a career in AI, automation, data-driven technologies, or intelligent systems.
What are the benefits of learning Artificial Intelligence at TechVerse?
Learners gain hands-on experience with AI models, real-world projects, portfolio-ready work, exposure to AI tools, and career-oriented skills aligned with current industry demand.
Is the Artificial Intelligence program approved or recognized?
TechVerse offers programs aligned with recognized training frameworks and industry standards, with selected courses approved by NAVTTC, PSDF, and TEVTA, ensuring quality education and career relevance.
What makes TechVerse’s Artificial Intelligence course different?
TechVerse combines practical AI training, experienced instructors, AI-powered tools, real-world projects, ethical AI practices, and career support to deliver a future-ready AI learning experience.