Prepare for Deloitte’s Microsoft FDE interview with Python, Azure, RAG, and client delivery practice that mirrors real enterprise work
5 sections · 14 lessons
Define the FDE role, the client delivery model, and the interview map for a Deloitte Microsoft AI and Data engagement.
2 lessonsApply Python debugging and REST integration skills to representative interview problems, with edge cases, tests, and reliability decisions.
2 lessonsChoose Azure AI Foundry, platform services, and AI Search patterns for enterprise GenAI work, with deployment and retrieval trade-offs.
3 lessonsBuild agent workflows, data pipelines, system designs, evaluation plans, and production controls for enterprise AI systems.
5 lessonsDemonstrate discovery, influence, mock interview performance, and a seven-day revision plan for the full Deloitte loop.
2 lessonsThe course starts with the Deloitte Microsoft Forward Deployed Engineer role and the kind of client work that comes with it, then builds the practical skills needed to handle interview cases with confidence. It focuses on Python, REST APIs, Azure AI Foundry, Azure architecture, retrieval-augmented generation, agents, data pipelines, evaluation, and production operations, all framed around enterprise GenAI delivery. By the end, the learner can explain technical choices clearly, solve representative problems, and handle client-facing interview questions without guessing.
The course covers Deloitte’s Microsoft AI and Data FDE role, the engagement lifecycle, Python debugging, REST integration reliability, Azure AI Foundry model deployment, Azure service selection, Azure AI Search RAG design, agentic workflows, enterprise data pipelines, system design, evaluation and safety, LLMOps, client discovery, and a full mock loop with revision planning.
From project managers and operators to founders, analysts, and teams adopting AI, Fenzo is for people who want to get better at the work they already do.
Anything from using AI for project planning and analysis to improving workflows, decision-making, communication, and delivery. If you can describe the skill or task, Fenzo can build a course around it.
Yes. Tell Fenzo what you do, what you’re trying to accomplish, and where you’re stuck, and Fenzo will shape the course around your role, your goals, and the work you actually have to do.
No. Fenzo adapts to your starting point, so you can begin with the fundamentals or jump straight into more advanced work.
Yes. Fenzo for Business puts the whole team on one plan — shared seats, courses you can assign, and reporting on who has finished what.
See Fenzo for BusinessYou start by describing your goal or taking a short skill benchmark. Fenzo uses that context to identify gaps and shape the learning experience around them.
Yes, Fenzo works in your mobile browser.
Something to operate in every section.
Three findings from decades of learning research shaped how every Fenzo lesson is built.
Average pass rate · Freeman et al., PNAS 2014
What the science says
Students in lecture-only classes are 1.5× more likely to fail.
How Fenzo does it
Every Fenzo lesson is interactive. No passive reading or watching, ever.
You work through itAI does it for you
Skill retention over time · with vs. without practice
What the science says
Offloading thinking to AI erodes the very skills you’re trying to build.
How Fenzo does it
Fenzo makes you do the thinking — guided, but never done for you.
Retrieval practiceRe-reading
Long-term recall · retrieval vs. re-reading
What the science says
Recalling information beats re-reading it for building durable understanding.
How Fenzo does it
Lessons weave in quizzes and recall prompts, so it sticks.