
Webinar By Suresh
18 Sep 2025
04:30 PM to 05:30 PM IST
Webinar By Suresh
18 Sep 2025
04:30 PM to 05:30 PM IST
Generative AI is rapidly evolving from an experimental technology into a powerful driver of business transformation. No longer limited to creative outputs, it now plays a critical role in delivering scalable, accurate, and brand-consistent results across industries, while addressing governance, compliance, and security needs.
In this webinar, we will explore the key pillars that enable enterprises to adopt Generative AI effectively—MLOps, prompt engineering, and API integration. Participants will gain insights into best practices, real-world use cases, and strategies to harness Generative AI as a reliable engine for innovation, efficiency, and growth.a
Date: Sep 18th, 2025
Time: 4:30 PM – 5:30 PM
Speaker: Mr. Suresh Maha
Agenda:
Who Should Attend?
About Trainer:
Mr. Suresh is a seasoned corporate trainer and technocrat with 25+ years of experience in technical training, mentoring, system architecture, software development, and project management across diverse domains. With 15+ years of hands-on expertise in Python, he has successfully conducted numerous trainings on Machine Learning, Artificial Intelligence, NLP, IoT, Chatbots, and Python programming, empowering professionals with both conceptual understanding and real-world application skills. His vast experience spans software development, mobile app solutions, website development, and telecom technologies (2G, 3G, LTE, 5G, IoT).
Over the years, Mr. Suresh has delivered impactful training programs and project mentoring for global leaders including Capgemini, Genpact, Accenture, TCS, Dell, HP, HCL, and Wipro. Renowned for his practical, hands-on teaching approach and ability to simplify complex concepts, he ensures learners gain the confidence to apply advanced technologies effectively in their projects. His proven expertise in mentoring large teams across geographies further establishes him as a trusted trainer, mentor, and guide in today’s fast-evolving technology landscape.
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