androidengineers.Book a session
Android Engineers

ANDROID ENGINEERS · AI ENGINEERING

Build AI. From first application to customer deployment.

Bring your software experience. Learn to build AI applications, design agentic workflows, and deliver systems inside real customer environments. No Android background required.

Start with a shared foundation. Then choose your direction.

Every path starts with an introduction to the role, includes the full Python foundation, and teaches software and AI fundamentals before specialization. Choose AI Engineer for applications, Agentic AI for tool-using systems, or Forward Deployed Engineering for customer delivery. All paths are self-paced.

Start the AI Engineer path →

Learn with Android Engineers through focused explanations, worked examples, exercises, and capstone projects. Each path connects technical concepts to something you can build and evaluate.

A curriculum that takes you from concepts to evidence.

Follow the complete sequence from introductory concepts and Python to implementation and production or customer delivery. Expand a module to see every lesson. Experienced learners can use the foundation exit checks to choose where to continue.

AI Engineer

32 modules · 90 lessons · 13 labs

Start with what an AI engineer does, then learn Python from your first script through a tested application. Continue through software, web, mathematical, and machine-learning foundations before LLMs, retrieval, evaluation, security, and deployment. The complete Python foundation is embedded here; no external course is required. Each stage builds skills and evidence for the final knowledge-assistant project.

Self-paced. Start with the role introduction and follow the full foundation sequence. If you already know a topic, use its exercise and exit check to demonstrate the skill before moving ahead. There are no weekly deadlines.

Explore the full curriculum →

Agentic AI

44 modules · 121 lessons · 27 labs

Start with what agents are and how they differ from chatbots and fixed workflows. Learn Python and AI application foundations inside this roadmap before building tool loops, memory, durable state, planning, MCP integrations, and human oversight. Develop one support-agent project through increasingly capable stages and finish with evaluation, operations, and a portfolio review.

Self-paced. Start with the role introduction and follow the full foundation sequence. If you already know a topic, use its exercise and exit check to demonstrate the skill before moving ahead. There are no weekly deadlines.

Explore the full curriculum →

Forward Deployed Engineer

44 modules · 120 lessons · 25 labs

Begin with the FDE role, neighboring roles, engagement lifecycle, and a concrete day-in-the-job example. Learn Python, software engineering, and AI application foundations before customer discovery, enterprise integrations, identity, acceptance testing, rollout, and handoff. Follow one self-paced path from beginner concepts to a simulated customer pilot.

Self-paced. Start with the role introduction and follow the full foundation sequence. If you already know a topic, use its exercise and exit check to demonstrate the skill before moving ahead. There are no weekly deadlines.

Explore the full curriculum →

Already building Android apps?

Use your mobile experience as a starting point. Add a Compose client to your AI project, compare on-device and cloud capabilities, or explore Kotlin agents.

Build your foundation. Then put it to work.

Start with our Python and API lesson, learn how to evaluate AI systems, and apply those skills to an independent project.

Complete Python foundation

42 lessons from your first script through functions, files, testing, SQL, HTTP, concurrency, and a complete application.

Start learning →

Evaluate your AI system

Define success, compare approaches, and understand failures before deployment.

Start learning →

Build a knowledge assistant

Turn documents into grounded answers with an evaluation report and deployment plan.

Start learning →