Breaking into AI: Skills, Pathways, and Practical Strategies

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Artificial intelligence is transforming industries and creating new opportunities across software engineering, data science, research, product development, and domain-specific applications. At the same time, the path into AI can feel overwhelming because of the rapid pace of new tools, models, and technologies.This talk will provide a practical roadmap for building skills and career momentum in AI. It will cover the foundational technical areas needed for modern AI work, including programming, data analysis, machine learning fundamentals, deep learning concepts, generative AI, and model evaluation. The session will also discuss different AI career pathways, ways to build relevant experience, and strategies for preparing for AI/ML technical interviews or transitioning into AI-focused roles. A key theme of the talk will be that successful AI careers are built not only on understanding models, but also on solving meaningful problems, communicating clearly, and building
reliable systems that people can use and trust. Attendees will leave with actionable guidance for developing their AI skill set and identifying practical next steps toward AI-related opportunities.


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  • Starts 18 May 2026 04:00 AM UTC
  • Ends 06 June 2026 03:59 AM UTC
  • No Admission Charge

  Speakers

Sanchari

Topic:

Breaking into AI: Skills, Pathways, and Practical Strategies

Key takeaways from talk:

Understand the major AI career pathways and how they align with different
backgrounds and interests:
 Learn the foundational technical skills needed for modern AI roles, including
programming, data analysis, machine learning, deep learning, and generative AI
 Identify practical ways to build relevant AI experience through projects, work
experience, open-source contributions, and domain-specific applications
 Explore strategies for preparing for AI/ML technical interviews and transitioning into
AI-focused roles
 Recognize the importance of model evaluation, reliability, explainability, and
responsible AI use
 Leave with actionable next steps for building skills and career momentum in AI

Biography:

Sanchari Banerjee is a Senior AI Researcher at Blue Wave AI Labs, where she works at the intersection of artificial intelligence, engineering, and energy. She holds a Master’s degree in Electrical and Computer Engineering from Purdue University. Her work centers on applying AI and machine learning to complex industry challenges, focusing on building practical, trustworthy solutions that support engineering decision-making, operational insight, and modernization in the nuclear energy sector. Her broader interests include responsible AI adoption, domain-specific AI applications, and the role of emerging technologies in advancing critical infrastructure.