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AI/ML Training Program for Engineering Educators – May 2025

As education evolves in the age of technology, it’s becoming increasingly important for teachers across disciplines to understand emerging techinques involving Artificial Intelligence (AI) and Machine Learning (ML). These technologies are not just buzzwords—they’re shaping how knowledge is created, analyzed, and shared.
To help educators keep pace with this change, this program offers a gentle yet comprehensive introduction to AI and ML, tailored specifically for faculty from non-AI/ML domains in and around Hyderabad. Designed for non-specialists, the training focuses on building conceptual clarity, hands-on familiarity, and the confidence to explore AI/ML in an academic setting.
Whether you’re looking to broaden your teaching toolkit or simply curious about how these technologies work, this program is a perfect starting point.

Who Should Apply?
This program is tailored for faculty members from non-AI/ML departments who are interested in understanding and adopting AI/ML technologies in their academic work. Whether you’re completely new to AI/ML or have a basic awareness, this program will guide you through essential concepts and practical applications with a focus on interdisciplinary relevance.

Key Benefits of the Program:

  • Comprehensive Curriculum: Learn the foundations of AI and ML, along with real-world applications tailored for educators
  • Hands-On Training: Gain practical experience through projects, coding exercises, and case studies.
  • Expert Instructors: Learn from experienced AI/ML professionals from both academia and industry.
  • Collaborative Learning: Connect and collaborate with fellow faculty from diverse academic backgrounds.
  • Cutting-Edge Resources: Get access to the latest tools, platforms, and curated learning materials.

Program Structure
The training program will cover the following broad topics:

  • Introduction to ML
  • Machine Learning Components: Data, Model, Evaluation
  • Revisiting Nearest Neighbor Classification
  • Retrieval, Performance Evaluation and Metrics
  • Linear Classifier
  • Representing Textual Data
  • Perceptrons and Gradient Descent
  • Loss Functions and Gradient Descent
  • Regression
  • Clustering
  • Feature Selection and PCA
  • Multi-Layer Perceptron
  • Probabilistic ML Models
  • Deep Learning Architecture

Program Duration: 24 weeks
Mode of Delivery: On-campus, live-interactive sessions
Schedule: Starts on 04 May 2025 with contact sessions every Sunday
Venue: International Institute of Information Technology, Hyderabad (IIITH)
Assessment: Based on practical assignments, mini-projects, and light-weight quizzes
Certification: A certificate of completion will be awarded to participants who fulfill the assessment requirements

Application Deadline: 20 April 2025

Program Fee: Rs 30,000 (Thirty thousand Rupees only – inclusive of all taxes)

Interested in joining the program:

For any inquiries, please contact the Program Coordinators:
Ms Faheema V V
Ms Midhuna Chandran

Program Coordinators: