Join our session on “Prompt Engineering Essentials: How to Get the Best from AI” to understand how effective prompting techniques can significantly enhance AI-powered outcomes. Learn how to craft high-quality prompts, control AI behavior, and generate more accurate, relevant, and creative responses. Whether you’re new to prompting or looking to refine your skills, this session will offer practical insights to help you get the very best from today’s leading AI systems.

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Agenda for the session

  • Learn to communicate effectively with AI and avoid common prompt errors.
  • Apply techniques to get accurate and impactful results from AI tools.
  • AI and Data Science program
  • Live Q&A

About Speakers

Mr. Anuj Saboo

Data Science Mentor at Great Learning

Anuj Saboo is a Data Science Mentor at Great Learning with extensive experience in analytics, machine learning, and AI applications. He has helped professionals bridge technical concepts with real-world solutions, focusing on how modern AI models can be effectively leveraged in business and decision-making. With strong expertise in NLP, predictive modeling, and data pipeline development, Anuj is well-positioned to guide learners in mastering the essentials of prompt engineering and getting the best results from AI tools.

AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact

The AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program has a curriculum carefully crafted by MIT faculty to provide you with the skills & knowledge to apply data science techniques to help you make data-driven decisions. This data science program has been designed for the needs of data professionals looking to grow their careers and enhance their data science skills to solve complex business problems. In a relatively short period of time, the program aims to build your understanding of most industry-relevant technologies today such as machine learning, deep learning, network analytics, recommendation systems, graph neural networks, and time series.

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