A hands-on 6-week program where you build the real systems behind modern AI products — retrieval, agents, reasoning, and multimodal AI — and deploy a portfolio-ready capstone to production.
Software Engineering & SRE Leader
Maysam Gamini is a software engineering and SRE leader with extensive experience in software architecture, CI/CD, performance engineering, technical leadership, and mentoring engineering teams. His background spans enterprise systems, development workflows, architecture, and production reliability. He is also active in the Austin technology and AI community.
View LinkedIn ProfileEvery project is a complete system you design, build, and demo — not a toy notebook exercise.
Open the black box. You'll build an interactive playground that exposes exactly how a modern language model turns a prompt into text — the same mental model you'll rely on for every project after this one.
Ground an LLM in your own data. You'll build a retrieval pipeline that parses real documents, retrieves the right context, and generates grounded answers you can actually trust — and measure.
Give the model hands. You'll design an agent that plans, calls tools, and iterates — searching the live web, calling APIs, and reasoning over what it finds until it can answer confidently.
One query, many angles. You'll build a system that runs parallel research threads, verifies what it finds against sources, and synthesizes a single well-reasoned report — inference-time reasoning applied to a real task.
Move beyond text. You'll build a pipeline that reasons across text, image, and video — combining generation, understanding, and evaluation into a single multimodal content system.
Bring it all together. Choose your own idea, architect it, build it, test it, deploy it, and demo it live — a complete AI product you design end-to-end and can show to employers or clients.
You want to move from AI tutorials to building real systems.
You understand some AI concepts but want a structured, project-based path.
You want to build real RAG systems and AI agents, not just prompt a chat window.
You want hands-on experience with production AI workflows, not just theory.
You want portfolio-ready AI projects you can show, not just a certificate.
Six projects sequenced so each one builds directly on the last — foundations, then retrieval, then agents, then reasoning, then multimodal, then a capstone that ties it all together.
Every concept is taught with a diagram first — how data actually moves through a RAG pipeline, an agent loop, or a training run — before you ever touch code.
No isolated exercises. Every module ends with a real, working system you built yourself — the kind of project that belongs in a portfolio, not a notebook.
You'll write code the way it needs to work outside a demo — with evaluation, error handling, and structure — not the shortest path to a screenshot.
You won't just copy a pattern — you'll understand the tradeoffs behind chunking strategies, agent loops, and model choices, so you can make the right call on your own systems later.
Weekly live sessions with real-time Q&A — not pre-recorded lectures.
Six real, working systems you build yourself — not guided copy-paste demos.
Diagrams, code, and session recordings you can revisit anytime.
Work alongside a cohort of builders tackling the same projects.
Direct feedback on your project architecture and code from Maysam.
A HiWeb AI Academy certificate recognizing your finished capstone.
A complete, demoed AI product designed end-to-end by you — ready to show employers or clients.
Save your seat — you'll receive a confirmation email with your personalized invoice.
Check your email for confirmation and course updates. Your personalized invoice is attached to that email.
Comfort reading and writing code in any language. No prior AI or machine learning experience is required — the course builds up from LLM foundations.
Plan for one live session plus 3–5 hours of project work per week. The exact pace is up to you — the projects scale with the time you put in.
Every session is recorded, so you can catch up on your own schedule and still bring questions to the next live session.
Yes — all live sessions are recorded and shared with the cohort, along with the diagrams and code covered in each one.
Six real systems: an LLM playground, a production RAG assistant, an ask-the-web agent, a deep research system, a multimodal AI pipeline, and a capstone product you design yourself.
Yes, if you're comfortable writing code. The course is structured to take you from LLM fundamentals through to production systems — no prior AI background assumed.
Yes — you'll receive a HiWeb AI Academy certificate of completion once you've finished and demoed your capstone project.
After you register, you'll receive a confirmation email with a personalized invoice attached, along with Zelle and check payment instructions.
Once your registration and payment are confirmed, you'll receive cohort details and access ahead of the first live session.
Email academy@hiwebenterprise.com with any questions before or during the cohort.
Six weeks. Six real projects. One capstone you can put in front of a hiring manager — built with a live instructor, not a pre-recorded course.