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Artificial Intelligence and Emerging Technologies
Science And Technology

Artificial Intelligence and Emerging Technologies

India is a nation brimming with innovation and a young population, with over 65% of its 1.4 billion people under the age of 35. As one of the fastest-growing economies, India is poised to become a global leader in artificial intelligence (AI). India’s AI market is growing at a CAGR of 25-35% and is projected to reach around $17 billion by 2027. The potential of AI to transform various sectors in India—from agriculture and healthcare to manufacturing and finance—is immense. Here, we explore how AI is shaping the future technologies in India.
Course ModeOnline
Duration2 Weeks
Starts14 Dec 2026
Ends26 Dec 2026
Course Fee
₹1,000 /-
Enroll Now
About The Course

Overview

There are several top-tier Artificial Intelligence and Emerging Technologies courses tailored to different career goals, ranging from executive overviews to intensive engineering pathways.

Applied Agentic AI (with Microsoft): A 10-week program focused heavily on team collaboration and building specialized AI agents using frameworks like LangChain and CrewAI. It is highly recommended for tech leads and product managers. More details can be found via.

Professional Certificate in Generative AI & Agentic AI (E&ICT Academy, IIT Kanpur): A 5-month weekend live online program covering 29+ modern AI tools, prompt engineering, LLMs, and computer vision.

Advanced Executive Program in Applied Generative AI (IITM Pravartak):

 

Learning Goals

Course Outcomes

Demonstrate AI Fundamentals: Summarize the history, core principles, theories, and foundational algorithms of Artificial Intelligence and intelligent agents.

Implement AI and Machine Learning Techniques: Apply search strategies, neural networks, deep learning, transfer learning, and time-series models to solve real-world problems.

Explore Emerging Tech Integration: Analyze how AI converges with breakthrough technologies such as the Internet of Things (IoT), Blockchain, and Quantum Computing to drive automation and data processing.

Design Smart and Explainable Systems:Build practical AI-enabled applications, web tools, or automated workflows while addressing model explainability and transparency. 

Evaluate Deployment Trade-offs: Assess performance, computational constraints, and edge-computing versus cloud-computing trade-offs for live environments

Curriculum

Course / Modules

Module 1: Introduction to Artificial Intelligence

History and Evolution: From rule-based expert systems to modern machine learning and deep learning. 

Core Terminology: Defining AI, machine learning (ML), neural networks, and deep learning. 

How AI Works: Key principles behind data processing, pattern recognition, and decision-making.

Module 2: Internet of Things (IoT) & Edge Integration

 

Module 3: Big Data & Data Management

Module 4: Cloud Computing & Infrastructure

Learn From Experts

Our Trainers

Er. Pinak Pani Dixit
Er. Pinak Pani Dixit
Er. Pinak Pani Dixit B.Tech in Electronics and Communication from NIT Srinagar. Research in UAV Communication from IIT Kanpur. Professional experie...
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Frequently Asked Questions

AI is a branch of computer science that enables machines and software to perform tasks typically needing human intelligence, such as visual perception, speech recognition, decision-making, and language translation.