Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries across the world. From self-driving cars to smart assistants and recommendation systems, AI is becoming a core technology in modern businesses.
This course introduces students to the fundamentals of Artificial Intelligence and Machine Learning, helping them understand how machines learn from data and make intelligent decisions.
Through practical examples, projects, and guided training, students will learn programming concepts, data analysis, and machine learning models used in real-world applications.
This course is suitable for students, beginners, and technology enthusiasts who want to build a career in AI and data-driven technologies.
Benefits
✔ Learn one of the most in-demand technologies in the world
✔ Understand how AI systems work in real-life applications
✔ Gain strong programming and data analysis skills
✔ Build practical AI and machine learning projects
✔ Prepare for future careers in AI, data science, and automation
Course Syllabus
Module 1 – Introduction to Artificial Intelligence
- What is Artificial Intelligence
- Applications of AI in real life
- Introduction to Machine Learning
Module 2 – Programming for AI
- Basics of Python programming
- Data types and control structures
- Python libraries used in AI
Module 3 – Data Handling and Analysis
- Understanding datasets
- Data cleaning and preprocessing
- Data visualization basics
Module 4 – Machine Learning Fundamentals
- Types of machine learning
- Supervised learning
- Unsupervised learning
Module 5 – Machine Learning Algorithms
- Linear regression
- Classification algorithms
- Decision trees
- Clustering basics
Module 6 – AI Model Building
- Training machine learning models
- Testing and evaluation
- Improving model accuracy
Module 7 – AI Projects
- Real-world AI project implementation
- Model deployment basics
- Final project presentation
Job Opportunities
After learning AI and Machine Learning, students can pursue roles such as:
- AI Engineer
- Machine Learning Engineer
- Data Scientist
- Data Analyst
- AI Research Assistant
- Automation Engineer
These roles are in high demand across industries such as technology, finance, healthcare, e-commerce, and robotics.
Fees
Course Fee: ₹30,000 – ₹60,000 depending on course duration and level.
Flexible learning schedules and live online classes are available.
Students can also book a free demo class before enrollment.