Courses

AI Security Lifecycle – Plan and Scope
This course examines the planning and scoping phase of the Artificial Intelligence (AI) Security Lifecycle as a critical foundation for the development of secure, compliant, and trustworthy AI systems.

AI Security Lifecycle
This course provides an overview of every stage of the AI Security Lifecycle, from planning and data preparation to deployment, monitoring, and governance—equipping them with the frameworks, tools, and best practices necessary to safeguard AI models and data in enterprise environments.
Raghu Bala is Founder of Synergetics.ai , an AI startup, based in Orange County, California. Synergetics produces AI and Autonomous Agents for Enterprises. He is an experienced technology entrepreneur and is an alumnus of Yahoo, Infospace, Automotive.com, PwC, and has had 4 successful startup exits.
Mr. Bala possesses an MBA in Finance from the Wharton School (University of Pennsylvania), an MS in Computer Science from Rensselaer Polytechnic Institute and a BA/BS in Math and Computer Science from the State University of New York at Buffalo. He is the Head Managing Instructor for MIT courses in AI, Decentralized Finance, and Blockchain on the 2U platform. He is also an Adjunct Professor at VIT (India), and an ex-Adjunct Lecturer at Columbia University, and a Deeptech Mentor at IIT Madras(India).
He is a published author of books on technical topics and is a frequent contributor online for the last two decades. His latest books include - co-author of “Handbook on Blockchain” for Springer-Verlag publications (2022), and a Contributing Editor of “Step into the Metaverse” from John Wiley Press.
Mr Bala has spoken at several major conferences worldwide including IEEE Smartcomp – Blockchain Panel (Helsinki), Asian Financial Forum in Hong Kong, Global Foreign Direct Investment Conference in Sydney (Australia) and Huzhou (China), Blockchain Malaysia, IoT India Congress, Google IO, and several more. He is also served as a Board member of AIM - The global industry association that connects, standardizes and advances automatic identification technologies.
His current areas of focus include Product Development, Engineering and Strategy in the startups related to Agentic AI, Autonomous Agents, Generative AI, IoT, Artificial Intelligence, and the Metaverse.
His industrial domain knowledge spans Automotive, Retail, Supply Chain & Logistics, Healthcare, Insurance, Mobile & Wireless, and more
