SRM Online

Certificate Course in AI & ML (Artificial Intelligence & Machine Learning)

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Learn from
India's Top Ranked
Institute

Ranked 12 in MHRD-NIRF*

*National Institutional Ranking Framework

Accredited with the highest NAAC* ‘A++’ grade*

*National Assessment and Accreditation Council

Globally ranked 4-Star university with a ‘Diamond’ rating by QS-IGAUGE India

*QS World University Rankings

Why Choose This Course?

  • Learn cutting-edge AI and ML concepts
  • Hands-on exposure to machine learning algorithms
  • Enhance job prospects in AI-driven industries

Certificate Course from SRM

Programme Fee

Domestic Structure

Online Learning

7000* / 3 Months

International Structure

Online Learning

$ 125 * / 3 Months

Students Gateway

Learn from one of the best management schools in India

Live Online Learning | UGC Entitled | AICTE Recognized | Category One University

This course offers an introduction to the principles and techniques of AI and ML. Learners gain hands-on experience with algorithms, data handling, and model training using tools such as Python, Scikit-learn, and TensorFlow. The course prepares students for careers and projects in intelligent systems and data analytics.

  1. Fundamentals of Artificial Intelligence
  2. Machine Learning Basics – Supervised and Unsupervised Learning
  3. Data Collection, Cleaning, and Preprocessing
  4. Regression, Classification, and Clustering Techniques
  5. Introduction to Neural Networks and Deep Learning
  6. Evaluation Metrics and Hyperparameter Tuning
  7. Applications in Business, Healthcare, and Robotics
  8. Project – Building a Basic AI/ML Mode
  1. UG/PG students in Computer Science, Engineering, Math
  2. Entry-level data analysts, software developers
  3. Anyone with basic programming knowledge (preferably Python)

+12 from any recognized board including NIOS, or any degree with a pass with 50% in the qualifying exams.

What You'll Learn

AI & ML (Artificial Intelligence & Machine Learning)

  • Fundamentals of AI and ML
  • Supervised and unsupervised learning
  • Model development and deployment

Program Highlights

Program Highlights

  • Practical training with Python
  • Case studies from various industries
  • Certification upon successful completion

Program Outcomes

  • Ability to build and deploy ML models
  • Understanding of AI applications in business
  • Strong foundation in machine learning techniques

Admission Process

Step - 1

Application submission + Upload of

Step - 2

Selection Process

Step - 3

Selection intimation and fee payment

Step - 4

Formal enrolment of the program