An intensive, production-grade 6-week sprint for engineers (July 6 – August 21).
✓ 250+ engineers mentored • ✓ 90% Cohort Completion Rate• ✓ Summer Cohort (July 6 – Aug 21) Strictly Limited to 15 Seats
Curriculum designed by Lead Instructors from:
The tech market has fundamentally shifted. The ecosystem is saturated with developers showcasing identical React frontends and basic CRUD applications. Hiring managers are filtering them out automatically.
They are aggressively seeking engineers who understand modern AI orchestration—builders capable of designing and deploying autonomous data pipelines that automate complex business operations. That isn't an entry-level skill, but with the right framework, it is completely attainable.
Stop letting passive, pre-recorded video courses pile up in your backlog. The AI-Automation Sprint is a high-accountability, live engineering cohort where you build and deploy real enterprise architecture alongside a selective peer group.
Through live systems labs and hands-on Friday debugging sessions, you will build, break, and harden a live machine learning pipeline. In 6 weeks, you will walk away with an elite, production-grade portfolio asset that completely separates you from the competition.
A production-ready automation asset engineered step-by-step.
Form inputs capturing clean system entry data.
Real-time API event streaming payload intercept.
Complex condition paths and flow routing.
Low-level text parsing and formatting algorithms.
Token assembly and advanced OpenAI synthesis.
Normalized persistent reporting and records.
Weekly core system architectures and structured reviews. Real-time debugging with your mentor and cohort.
Live engineering open labs to step through and debug system code blocks. Hands-on problem solving.
Notion workspace containing course materials, session recordings, templates, code samples, and collaborative notes.
A structured journey from foundations to production deployment.
Setting up local environments, structuring advanced system hooks, and mastering prompt engineering models using standard SDKs.
Intercepting data streams, configuring webhooks, and structuring autonomous orchestration flows within n8n.
Writing advanced custom Python execution blocks within workflow systems to handle data ingestion and preprocessing.
Engineering persistent contextual state and conversational memory pipelines using modern API frameworks and vector indexing.
Hardening exception handling, tracking API rate-limiting recovery, and testing pipeline load capacity.
Deploying cloud workflows, running system health architecture evaluations, and graduating to the active alumni network.
Guided by Emmanuel Akita, a seasoned engineer and mentor.
Lead Instructor & Mentor
250+
Engineers Mentored
10+
Years Experience
Emmanuel has guided over 250 engineers through career transitions. He specializes in AI infrastructure, Python automation, and building scalable systems that matter.
Choose the payment plan that works for you.
Save $101 - Early Bird Pricing active until June 20.
Flexible payments. Balance automated
billing during Week 3.
Everything you need to know about the architecture, schedule, and alignment.
This sprint is engineered specifically for software engineers, full-stack builders, and frontend/backend developers who want to break out of crowded, commoditized web roles. If you understand basic programming logic, web fundamentals, and API concepts, this program will show you how to architect production-grade AI data pipelines. It is not a basic digital literacy or no-code course.
You should have a working knowledge of foundational programming concepts (ideally in Python or JavaScript), understand how to interact with REST APIs, and be comfortable utilizing Git. We skip basic syntax completely and move straight into enterprise architecture, webhooks, custom script execution blocks, and LLM orchestration layers.
No, we do not offer artificial job placement guarantees. Instead, we give you something far more valuable: a hardened, production-grade AI automation asset for your portfolio that instantly differentiates you from thousands of developers building standard CRUD applications. You will learn to design systems that drive real business value—which is exactly what modern engineering teams look for.
The sprint runs intensely from July 6th to August 21st. Each week features two live touchpoints: 1 Core Mid-Week Systems Lab (focused on architectural patterns and implementation strategies) and 1 Friday Live Debugging Open Lab (where you bring your syntax exceptions and deployment bottlenecks to get unblocked live). You should allocate 5–8 hours per week for live sessions and hands-on building.
We use zero clunky, legacy Learning Management Systems (LMS). We operate entirely inside a modern developer ecosystem: live check-ins happen via Zoom (and are uploaded immediately to a cloud archive), asynchronous engineering chat and code reviews happen in dedicated Slack channels, and your centralized project portal is managed cleanly in Notion.
If you choose the Split Enrollment path, your first installment of $350 is processed today to lock in your seat. The second and final installment of $350 will be automatically billed during Week 3 of the sprint. Please note that the $101 Early Bird pricing discount is reserved exclusively for Full Capital Enrollments completed before June 20.
Still have questions?
Email UsJoin the July 6th cohort. Limited to 15 engineers for personalized mentorship.
Apply for the Cohort NowApplications close June 30 at 11:59 PM UTC.