This course provides a structured journey through the core areas of modern Artificial Intelligence, with a strong focus on the emerging field of Generative AI.

Foundations of AI and Machine Learning (ML)

Paradigm Shift and Core Concepts: The course begins by setting the stage with an overview of AI, focusing on the fundamental shift in technological paradigms.

Machine Learning (ML): It then delves into Machine Learning, covering different Machine Learning Approaches (e.g., supervised, unsupervised, reinforcement learning).

Deep Learning and Specialized AI Fields

Deep Learning (DL): The curriculum moves into Deep Learning by exploring Artificial Neural Networks (ANNs), the core technology underpinning advanced AI.

Specialized Applications: It covers two major application fields of Deep Learning:

Computer Vision (CV): Exploring visual intelligence and how machines "see."

Natural Language Processing (NLP): Understanding NLP and its Applications, including how to Decode Speech AI & Applications (speech recognition and synthesis).

The Era of Generative AI

Generative AI Overview: The course culminates in the study of Generative AI, starting with an Overview of what it is and how it works.

Prompt Engineering: A critical and practical skill is covered in depth: Prompt Engineering, which teaches students how to craft effective inputs to maximize productivity and achieve desired outputs from Gen AI models.

Application and Governance: Finally, the course addresses real-world implementation, covering how to Build AI Apps with GenAI APIs, and the essential topic of AI Policies & Governance to ensure responsible and ethical deployment.

This course is well-designed to equip students with both the theoretical background in general AI/ML/DL and the hands-on skills in the latest Generative AI technologies.

The course introduces the participants to the field of AI/ML with background and key concepts. It also introduces Python as a programming language for data science. The course introduces data visualization techniques and comprehensive overview of linear algebra, statistics and optimization concepts

AI in Accounting is a practical, beginner-friendly course designed to empower freshers and undergraduate students with the skills to leverage AI in the field of accounting. You’ll explore how no-code AI tools can streamline accounting processes, generate financial summaries using Natural Language AI, detect fraud patterns, and even build a basic AI-powered audit dashboard. The course blends foundational concepts with hands-on practice using real-world tools like Excel AI, Power Automate, Docparser, and ChatGPT.