AI Engineering 101 for Software Engineers

Hosted by Sujeet Mishra and Prasenjit Mukherjee

Wed, Jan 14, 2026

4:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

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What you'll learn

How AI systems differ from traditional software

Understand how probabilistic AI systems behave, fail, and are evaluated differently than deterministic software

The modern AI stack and AI roles

Learn the modern AI stack, the roles across its layers, and how skill expectations shift from software to AI engineering

An 8-week roadmap to transition into AI engineering

Understand a clear 8-week roadmap to close skill gaps and transition from software engineering into AI engineering roles

Demo: How to become 10× productive with AI

See how engineers use agents, MCP, and tool calling to build applications in minutes instead of hours.

Why this topic matters

AI skills are now a major career differentiator. Demand for AI skills has grown by 82% (Harvey Nash Digital Leadership Report 2025), while AI-skilled workers earn up to 56% higher wages (PwC 2025 Global AI Jobs Barometer) and companies report major talent shortages. This lesson gives software engineers clarity on the shift and a clear 8-week roadmap to move toward AI engineering

You'll learn from

Sujeet Mishra

AI Engineer | Entrepreneur | AI Consultant & Trainer for Fortune-500

Sujeet Mishra is the Co-founder of Theseus AI Lab, an AI consulting and education firm serving customers globally. He brings 15+ years of experience across AI systems, enterprise learning, and product innovation. A former researcher at ISI Kolkata and an alumnus of IIT (ISM) Dhanbad, he began his career in semiconductor engineering, working with organizations such as Qualcomm and Wipro, before going on to found AI-focused ventures. He has worked with Fortune 500 companies and startups to drive practical AI adoption and has trained 5,000+ professionals in building real-world AI systems, including RAG and agentic architectures.

Prasenjit Mukherjee

Adjunct Faculty | Quantum ML & Big Data | Ex-Microsoft, Yahoo | IIT Madras

Prasenjit Mukherjee is a Distinguished Fellow – AI Research & Systems at Theseus AI Lab. A senior technology leader, researcher, and educator with 25+ years of experience across Microsoft, Sun Microsystems, Yahoo, Apple, and AOL, Prasenjit specializes in AI/ML-driven search systems, large-scale intelligent applications, knowledge graphs, and quantum computing, combining deep technical expertise with real-world enterprise impact.

He also serves as Adjunct Faculty at IIIT Sri City, teaching Quantum Machine Learning and Big Data Analysis, and advises organizations on applying Agentic AI and semantic technologies to solve complex business challenges. Prasenjit holds dual Master’s degrees in Computer Science and Physics from IIT Madras and IIT Kanpur, respectively, uniquely bridging physics, AI, and large-scale systems engineering.

Previously at

Microsoft
Qualcomm
Yahoo
Apple

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