COURSE OVERVIEW

The Harnessing GenAI and Its Capabilities course is a practical, hands-on training designed to introduce participants to the fundamentals of Artificial Intelligence (AI) and Generative AI (GenAI), while exploring how these technologies are transforming productivity, creativity, and business processes. Participants will gain a solid understanding of the core concepts behind machine learning, natural language processing (NLP), deep learning, artificial neural networks, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and vector databases.

The course also provides practical guidance on effectively using today's leading AI platforms, including ChatGPT, Gemini, and Microsoft Copilot. Participants will learn prompt engineering best practices and techniques to generate high-quality outputs for a variety of business and technical use cases. Through interactive demonstrations and hands-on exercises, participants will discover how Generative AI can be leveraged for content creation, software quality assurance, documentation, and productivity enhancement while understanding its benefits, limitations, and responsible use.

Duration: 2.5 days / 20 hours

Delivery Method: Classroom-based, Virtual Instructor Led Training

LEARNING OBJECTIVES

By the end of this course, participants will be able to:

·      Understand the fundamentals of Artificial Intelligence (AI), Generative AI (GenAI), and Agentic AI, including their key differences and business applications.

·      Explain the core AI technologies that power modern Generative AI solutions, including Machine Learning (ML), Natural Language Processing (NLP), Deep Learning, and Artificial Neural Networks.

·      Understand the role of data sources, Large Language Models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) in AI-powered applications.

·      Evaluate the benefits, limitations, and practical considerations of adopting Generative AI technologies.

·      Explore and compare leading Generative AI platforms, including ChatGPT, Gemini, and Microsoft Copilot.

·      Apply prompt engineering best practices and techniques to generate accurate, relevant, and high-quality AI-generated outputs.

·      Identify practical Generative AI use cases across business, software development, quality assurance, and workplace productivity.

·      Utilize AI-powered tools to assist in creating software testing deliverables, documentation, and other professional content.

·      Generate effective content using different prompting strategies through hands-on laboratory exercises.

·      Apply responsible and effective AI practices to maximize productivity while maintaining accuracy, security, and ethical use of Generative AI technologies.

LAB REQUIREMENTS

·      OS: Windows 10 or above

·      MS Office 2019 or above

·      PDF reader

·      Standard Web Browser: Mozilla Firefox, Google Chrome etc

·      Good internet connection