Learn how to turn standard AI assistants into true coding partners that understand your style, context, and project specifics. The course will teach you how to configure, adapt, and develop any AI tools (Cursor, Copilot, Amp, Claude Code, Windsurf, etc.) so that they work for you, not the other way around.
Elite AI Assisted Coding
19h 27m 48s
English
Paid
Course Value:
Stop wasting time on generic AI prompts. Learn how to create your own intelligent programming assistant that understands your code, architecture, and tasks—regardless of the platform you use.
What You Will Learn:
- Building a universal context system for all AI tools
- Automating context updates based on your real patterns
- Analyzing and improving interaction with AI to enhance accuracy
- Developing MCP servers and automation tools
- Integrating AI into corporate processes considering security and compliance
- Optimizing team collaboration and CI/CD with AI agents
Who This Course Is For:
Developers who:
- Already use AI for programming but want to take efficiency to the next level
- Aspire to personalized, productive AI tools
- Prefer practical skills and real results over theory
- Work in teams where integrating AI into corporate processes is important
Instructors:
- Eleanor Berger — an engineer and leader in the field of AI with experience at Microsoft and Google, expert in DevOps, Applied AI, and engineering management.
- Isaac Flatt — an expert in development efficiency, consultant to companies, and a researcher in AI.
Companies We Have Worked With:
Microsoft, Google, GitHub, Canonical, SpecStory, Travel & Leisure, Cable & Wireless Communications, Answer AI, and others.
Companies Our Students Come From:
Amazon (AWS), Microsoft, Google, X, Shopify, Cisco, LinkedIn, Red Hat, DocuSign, Qualcomm, Monster, Booz Allen Hamilton, TrustLayer, and more.
Bottom Line:
After the course, you will not only be able to use AI but build an effective development ecosystem around it—from individual productivity to team implementation in production.
About the Authors
Eleanor Berger
Eleanor Berger is an artificial intelligence expert and technology leader with extensive experience in consulting, building, and managing high-performance AI engineering teams at companies like Microsoft, Google, and various startups.
At Microsoft and Google, Eleanor assisted leading cloud platform clients—from startups to large enterprises and independent software developers—in creating and implementing large-scale AI-based solutions. She held key advisory positions, specializing in the applied aspects of AI, and is recognized as an authoritative voice in the industry.
Today, Eleanor consults companies and supports leaders driving innovation in the AI field, combining deep technical expertise with management experience. She helps organizations build sustainable AI competencies, integrate advanced technologies, and create solutions that provide strategic advantage and business value.
Eleanor's main areas of focus are:
- developing sustainable engineering potential for repeatable successes;
- assessing opportunities and risks in current and planned projects;
- creating context-adapted, data-driven, iterative development processes;
- sustaining engineering and leadership momentum through continuous technical and strategic guidance.
Isaac Flath
Isaac is an independent consultant who helps companies integrate artificial intelligence into products and business processes. For many years, he has been training corporate teams on the effective application of AI and collaborating with tech startups and cutting-edge research laboratories.
As a consultant, Isaac has worked with companies of various sizes—from startups like Ankihub and SpecStory to large corporate clients including Travel & Leisure and Cable and Wireless Communications.
Previously, he was engaged in research at Novetta, where he developed chatbots, and collaborated with innovative labs, including Answer AI.
Watch Online 24 lessons
0:00
/ #1: 001 Introduction to AI-Assisted Software Development
All Course Lessons (24)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | 001 Introduction to AI-Assisted Software Development Demo | 57:57 | |
| 2 | 002 Context Engineering & Frictionless Setup | 01:07:48 | |
| 3 | 003 Optional Part 1 Office Hours | 01:03:23 | |
| 4 | 004 Part 1 Homework - Live Practice Session | 01:12:52 | |
| 5 | 005 Zero to plan.md using voice transcription | 16:54 | |
| 6 | 006 Working Incrementally with AI Todos and Git | 26:53 | |
| 7 | 007 Adding Tools via MCP | 08:46 | |
| 8 | 008 Week 1 Recorded Breakdowns | 11:42 | |
| 9 | 009 Sandboxed Filesystem for AI Coding with Codespaces | 08:35 | |
| 10 | 010 Interactive Agents & Spec‑First Planning | 01:06:13 | |
| 11 | 011 AI Code Review, PR Orchestration & Security | 57:53 | |
| 12 | 012 Optional Part 2 Office Hours | 01:15:23 | |
| 13 | 013 Optional Part 2 Homework - Live Practice Session | 01:09:07 | |
| 14 | 014 Optional Workshop Investigating and Fixing a Complex Bug with AI Tooling | 01:30:00 | |
| 15 | 015 Defining Good Code for LLM Context | 19:14 | |
| 16 | 016 Using an Agent To Identify Tech Debt | 16:39 | |
| 17 | 017 LLMs in the CLI using the unix philosophy | 16:37 | |
| 18 | 018 AsyncBackground Agents & Dynamic Context | 01:05:12 | |
| 19 | 019 Parallelization, Measuring Efficacy, & Continuous Improvement | 01:03:12 | |
| 20 | 020 Optional Part 3 Office Hourse | 01:02:58 | |
| 21 | 021 Optional Part 3 Homework - Live Practice Session | 01:03:48 | |
| 22 | 022 RepoPrompt - How it helps build context | 48:20 | |
| 23 | 023 SpecStory, SpecFlow, and Spec-Driven Dev | 59:20 | |
| 24 | 024 How I Learned to Stop Worrying and Love AI Agents | 59:02 |
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Read Book Elite AI Assisted Coding
| # | Title |
|---|---|
| 1 | Lesson 1 — Orientation & Intro to AI-Assisted Coding |
| 2 | Lesson 2 — Context Engineering & Frictionless Setup |
| 3 | Lesson 3 — Interactive Coding, Control & Spec-Driven Development |
| 4 | Lesson 4 — AI-Assisted Operations & Security |
| 5 | Lesson 5 — Background Async Agents & Continuous AI |
| 6 | Lesson 6 — Parallelization, Efficiency, Efficacy, & Continuous Improvement |