Mastering Prompt Engineering Using LLMs is a practical, hands-on course that teaches how to design effective prompts to get accurate, reliable, and context-aware outputs from large language models. It covers core techniques such as prompt structuring, role prompting, few-shot learning, and iterative refinement, along with real-world use cases across content generation, coding, data analysis, and automation. By the end, learners will be able to systematically craft prompts that improve model performance, reduce ambiguity, and unlock advanced capabilities of modern LLMs.

Course Instructors

Dr. Mahendra Kanojia Author

Dr. Mahendra Kanojia (Ph.D., M.Phil., Computer Science) Dr. Kanojia is an AI research scientist and academic leader with 18years of experience. He serves as Principal and HOD of Computer Science at Sheth L.U.J. & Sir M.V. College, Mumbai, and founded the e-learning platform rocktheit.com., He specializes in AI, Machine Learning, chatbots, and advanced applications like autonomous oncology. His hands-on, accessible approach to technical training is driven by a single belief: “If humans can, technology can.”

Harshita Kanojia Instructor Assistant