Question 1

Who is this Fellowship designed for?

Accepted Answer

This Fellowship is built for engineers and technical professionals. Prior coding experience is required. The program is designed for software engineers, data scientists, ML practitioners, platform engineers, and technical builders looking to specialize in AI Engineering.

Question 2

What will I build during the Fellowship?

Accepted Answer

You'll build production-grade AI systems. From RAG pipelines and agentic workflows to MCP integrations, evaluations, deployment, and AI infrastructure, every project is designed to reflect how modern AI products are built in industry.

Question 3

How technical is the program?

Accepted Answer

You'll work with code, APIs, frameworks, deployment workflows, and production engineering practices used by AI-native companies.

Question 4

How much time should I expect to commit each week?

Accepted Answer

Approximately 10–12 hours per week. This includes live sessions, engineering assignments, capstone development, code reviews, and project implementation.

Question 5

Who teaches the Fellowship?

Accepted Answer

AI Engineers in production today. Every mentor has hands-on experience deploying AI systems, working with LLM infrastructure, building AI products, or leading AI engineering initiatives inside startups and enterprises.

Question 6

Will I receive interview opportunities and career support?

Accepted Answer

Yes. Fellows receive portfolio reviews, technical interview preparation, resume optimization, hiring association introductions, and access to AI Engineering opportunities through Menler's employer network.

Question 7

What is the refund and cancellation policy?

Accepted Answer

Refunds are only applicable if Fellowship access has not been provided. Once access to the platform, curriculum, recordings, or learning resources has been granted, fees become non-refundable and cancellations are not eligible for a refund.

Question 8

What is the program fee and are there payment options?

Accepted Answer

Flexible payment plans are available. Program fees, payment schedules, and available scholarship opportunities are shared during the application process and counselling session.

Claude AI Engineering Fellowship