TRAINING CONSULTANT - LDM

Job Summary

About NIIT

NIIT is a leading Skills and Talent Development Corporation that is building a manpower pool for global industry requirements. The company, which was set up in 1981 to help the nascent IT industry overcome its human resource challenges, today ranks among the world’s leading training companies owing to its vast, yet comprehensive array of talent development programs. With a footprint across 40 nations, NIIT offers training and development solutions to Individuals, Enterprises, and Institutions.

Your primary responsibility is to bring the "AI Fundamentals & Application" curriculum to life. This is a five-day, 40-hour intensive program that requires more than just lecturing. It requires creating an engaging, interactive, and psychologically safe learning environment where beginners feel empowered to ask questions and experiment.

1. • Instruction modality: Instructor will lead 8 hours of instruction each day, breaking down complex AI concepts into digestible, intuitive modules. You must be a master of analogy, storytelling, and real-world examples to connect abstract theories to the learners' potential work and daily lives.
   • Skills:
     1. The Foundations. What is AI? A brief history. The difference between AI, Machine Learning, and Deep Learning. Rule-based systems vs. learning systems. The ethical considerations and societal impact of

AI.

2. • 1. Understanding Large Language Models (LLMs). How do models like ChatGPT work (at a high, conceptual level)? What are tokens, parameters, and training data? Introduction to the concept of

"Prompt Engineering."

3. • 1. Practical Prompt Engineering. Deep dive into crafting effective prompts. Zero-shot, few-shot prompting. The role of context, persona, and constraints. Using ChatGPT for summarization,

translation, and analysis.

4. • 1. AI for Productivity. Applying ChatGPT to common business tasks: drafting emails, generating reports, brainstorming ideas, creating presentation outlines, and even generating simple code snippets or

formulas. This day is heavily focused on practical, hands-on application.

5. • 1. Synthesis and the Broader AI Ecosystem. Review of key concepts. Introduction to the concept of "agents" (definition and high-level purpose only, as per course constraints). A look at the future of AI.

Final Q&A and capstone exercises to solidify the three core learning outcomes.

Educational Qualification

Skills

Experience