Masterclass: The Role of an AI/ML Engineer in 2026

Tue, Jun 02, 2026 | 11:00 AM - 12:00 PM

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Register for Masterclass

The role of an AI/ML Engineer is evolving fast.
By 2026, companies expect more than building models—they want engineers who can take AI from idea to production.

This masterclass explains what the AI/ML Engineer role really looks like in 2026, how it differs from today, and which skills actually matter versus what’s driven by hype.

You’ll explore the real use of GenAI and LLMs in industry, understand the end-to-end AI/ML lifecycle, and learn the tools, MLOps basics, and deployment mindset companies look for.

The session ends with a clear career roadmap, hiring expectations, and common mistakes learners make—so you can prepare with clarity and confidence.

What You’ll Learn?

The real role of an AI/ML Engineer in 2026 and how it differs from today
Core skills that still matter vs skills inflated by hype
Practical reality of GenAI, LLMs and their actual industry use cases
End-to-end AI/ML project lifecycle and production expectations
Tools, MLOps basics and deployment mindset companies look for.
Career roadmap, hiring expectations and common mistakes by learners

Who Should Attend?

Software engineers exploring a shift into AI/ML
Data analysts or data scientists wanting role clarity
Freshers and final-year students planning an AI career
Working professionals confused by overlapping AI job titles
Tech leads or managers wanting to understand AI team roles
Anyone asking: “Is AI/ML still worth it in 2026?”

What Our Attendees Say

Extremely well structured, and very well presented. I am very satisfied with your course. Now I am able to understand AI better than before. You have explained very well how we can use this tool to improve our lives.

The masterclass gave me confidence to work with AI tools. I liked the step-by-step projects and the support from the mentors.

Frequently Asked Questions

1. Who is this AI masterclass for?

This masterclass is ideal for working professionals, developers, analysts, testers, who want to upskill in AI, switch to AI and beginners who want to understand AI concepts clearly and see how they’re applied in real projects.

2. Do I need prior AI or coding experience to attend?

No. The session is designed to be beginner-friendly while still valuable for experienced professionals. Concepts are explained from fundamentals and connected to real-world use cases.

3. Is this masterclass really free?

Yes. The masterclass is completely free. You’ll get live expert instruction, practical insights, and learning resources at no cost. The recorded session and resources will be shared with the attendees.

4. Will this masterclass be practical or mostly theory?

It’s practical-first. Industry experts explain concepts using real examples, tools, workflows, and implementation approaches, not academic slides.

5. Will I get recordings or resources after the session?

Yes. Registered participants receive session resources and, where applicable, access to recordings or follow-up materials shared by the instructor.

6. Can I ask my own questions during the masterclass?

Absolutely. Live Q&A is a key part of the session. You can ask questions related to learning AI, career transitions, tools, or real implementation challenges.

7. How is this different from watching AI videos on YouTube?

This is a live, structured session led by industry practitioners. You get real-world context, actionable guidance, direct interaction, and clarity, something pre-recorded videos can’t offer.

8. Will this masterclass help with AI career transitions?

Yes. The session provides clarity on where AI fits in your role, what skills to focus on next, and how professionals are practically moving into AI-driven roles.