
To foster innovation and give back to the tech community, industry leaders are offering free AI/ML Product Management (PM) masterclasses and accelerator lab guidance. These sessions provide aspiring and experienced professionals with insights into AI/ML, data science, leadership, and business coaching—all under one platform. Participants not only gain theoretical knowledge but also apply practical aspects of building AI/ML products while learning a structured PM framework from start to finish.
A distinguished panel of experts, including Manjeet Singh (Salesforce AI leader), Nirmal (mentorship influencer on LinkedIn), Aswajit (creator and PM coach), and Amy (former VP at Sephora & Gap), conduct these periodic masterclasses. These sessions focus on real-world strategic and practical use cases, providing invaluable networking opportunities and lifelong referrals. Interested participants can explore Aswajit’s masterclasses and podcasts to get a glimpse of these valuable learnings at https://generativeproduct.
With over 20 years of contributions to the technology industry, Aswajit has significantly impacted AI/ML and product management communities. His dedication to knowledge-sharing extends to hosting a podcast series featuring senior leaders from global organizations like Meta, TikTok, Snowflake, Gap, and Sephora. His mentorship spans startups, students, and early-stage innovators, providing insights into digital transformation and AI-driven business strategies.
Recently, Aswajit played a key role in judging a hackathon, mentoring startup founders and student-led AI/ML initiatives. The event featured a panel of eminent leaders, including Deepak Makutu (Sr. Director at Salesforce AI), Nirmal and Ananya from Microsoft, and Amar Patnaik (former Union Minister of India). The hackathon received widespread recognition on LinkedIn and various tech forums, underscoring its impact on early-stage innovation.
The upcoming second stage of the hackathon will be an onsite event, further supporting tech entrepreneurs and innovators. These initiatives highlight the growing need for AI/ML education, product management expertise, and a strong community-driven approach to technology advancement.
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