Skill Enhancement
Upskill with AI. Stay Future-Ready.
Our Skill Enhancement programs are designed for professionals, educators, and organizations to gain hands-on expertise in AI, ML, and Generative AI. Delivered by working professionals, these programs bridge the gap between theory and real-world application.
We offer a diverse range of programs, including:
Certificate Program in AI & ML
Certificate Program in Generative AI
Faculty Development Program
Corporate Training
Certificate Program in AI & ML
AI is no longer confined to Big Tech. Its integration into traditional industries is a major driver of talent demand.
Global and India AI markets are set to grow 25% – 35% through 2027
70% enterprises allocated >20% of IT budget to digital
7 sectors and 75% of India’s GDP
India now boasts one of the world’s largest AI workforces (~600,000+ professionals) and is projected to double that by 2027. Reports predict 2.3 million AI job openings in India over the next 3 years – but also a significant talent gap to fill.
To fill this significant gap in talent, we offer a comprehensive skill enhancement program in AI & ML with a thoughtfully curated list of 6 essential skills:
- Foundation: Introduction to Data Science, Python Programming and Exploratory Data Analysis
- Machine Learning: Supervised and Unsupervised ML
- Data Visualization: Visualize your data with Tableau
- Deep Learning: Neural networks and Architecture, Transfer Learning
- Computer Vision: Image Classification and Object Detection
- Natural Language Processing (NLP): Basic NLP Tasks like Text Similarity, Text Classification, Transformers Architecture
The training is coupled with a lot of real-world examples, lab exercises and quizzes. It will include:
- The life cycle of an AI use case
- Practical Considerations of AI Use Case Implementation
- Capstone Project
Certificate Program in Generative AI
This training program is to equip you with practical, actionable knowledge of Generative AI tools and techniques. Drawing on hands-on experience with industry-leading LLMs and model fine-tuning, We aim to guide participants through key principles, including prompt engineering, model customization, and integration strategies for deploying Generative AI applications in a variety of contexts.
Key areas of focus will include:
- Introduction to Large Language Models (LLMs): An overview of GPT-4 and similar models, exploring their architecture, capabilities, and limitations.
- Retrieval-Augmented Generation (RAG): Leveraging RAG to enhance the relevance and accuracy of AI-generated responses, particularly when working with specialized or domain-specific datasets.
- Ethical AI and Best Practices: A commitment to ethical AI practices, focusing on transparency, fairness, and accountability in model design and deployment.
The training will combine foundational knowledge with practical, hands-on activities to ensure engineers can apply these skills to real-world use cases. It will include:
- Workshops on Prompt Engineering: Practical sessions on crafting effective prompts to control model behavior and improve response quality.
- Case Studies and Applications of RAG: Examining how RAG can be used for content generation, customer support, and knowledge management to enhance user experience.
- LLM Deployment Practices: Demonstrating the process of integrating LLMs into applications while ensuring performance, scalability, and compliance.
Faculty Development Program
From campus to cutting-edge: make AI real for your students.
Our faculty improvement program is tailored for engineering faculty across India, enabling them to stay at the forefront of Artificial Intelligence and Generative AI. By bridging academic knowledge with real-world applications, we empower educators to inspire the next generation of innovators and ensure their teaching remains impactful and industry-relevant.
Key Modules
- Introduction to AI and ML with a focus on real-world use cases
- Supervised and Unsupervised Machine Learning with structured data
- Deep Learning and Neural Networks with transfer learning
- Natural Language Processing (NLP) Basic NLP Tasks like Text Classification, Text Similarity and semantic models
- Computer Vision Image classification and Object Classification with state-of-the-art pre-trained models
- Ethical AI and Responsible AI RAI Principles and Framework that should be followed for any AI Use case implementation
- AI Use cases in real world
- AI Use case Life Cycle Implementation approach for AI Use Cases
- Introduction to Large Language Models and Generative AI Text Extraction, Text Summarization, Prompt Engineering
Corporate Training
Shaping the Future with AI-Ready Talent
Our Corporate AI & ML Training empowers your workforce with practical, business-aligned skills that fuel growth, innovation, and competitive advantage. By bridging employee development with organizational goals, we help you build an AI-driven corporate citizenship culture where talent thrives and business impact multiplies.