You can code. Soon, you’ll ship AI.
Applied AI Engineering, GuildTrek’s upskilling program for working engineers and CS grads. An 8-week accelerator, live online 2 hours a day plus Saturdays. Batches forming now; join the early-access list and pick yours.
Next USA & Canada batch begins the first week of August 2026.
Fees shared on enquiry · nothing due to apply
Instructor-led by Sankar Vema. Know your trainer Upcoming batches
What you walk away with
8
Weeks
112
Live hours
27
Topics
6
Projects you build
1
Defended capstone
14
Live hrs / week
Three streams, one program
Applied AI Engineering, tuned to where you start
The same build-first core, customized by background so no one is bored and no one is lost.
Upskilling
Who it's for
Working software engineers with a Python background
Level up into AI engineering to lift your role and your package. This is the stream in the next USA & Canada batch, the first week of August.
Express interestCross-Skilling
Who it's for
Engineers from other stacks: SAP, UI/UX, full-stack, and more
A short on-ramp bridges you to Python and the AI core, so your existing engineering depth carries straight over.
Express interestFreshers
Who it's for
Computer-science graduates, with or without AI exposure
A guided path from fundamentals to a shipped, defended AI project that makes you market-ready.
Express interestSound familiar?
If any of these is you, keep reading.
If any of these sound like you, this is exactly the program you were looking for.
“You can code, but AI still feels like a locked room.”
We hand you the keys — you build real models from week one.
“You studied AI in college. Then froze in the interview.”
You walk in with a portfolio, not just a grade.
“You're on an AI project but can't break the ice.”
Ship your first real AI feature in weeks, not quarters.
“Your POCs impress — but never reach production.”
You build the production muscle demos never teach.
“Five courses in, and you still can't build end-to-end.”
Six projects you build properly, then one deployed agentic product.
“You want the AI jump, but don't know what to actually learn.”
One build-first path — classical ML to agents in production.
Why this is different
There are 1,000 AI courses. This isn't one of them.
The difference is not the syllabus. It is that you leave with work you built, deployed, and can defend.
Another AI course
GuildTrek
17 hours of video you half-finish
6 real projects you actually finish
A PDF certificate
A deployed agentic AI product + a public GitHub portfolio
“Ask the community”
Live mentor reviews from people who ship AI
Demos that always work
Honest evaluation — where AI fails and what it costs
“You figure out the interview”
Capstones you defend — interview-ready
Watch. Forget. Repeat.
Build. Prove. Get ahead.
In 8 weeks, you go from
- “I’ve heard of ML”
- “I’ve done a few courses”
- “I can prompt an LLM”
“I framed, built, evaluated, deployed and defended a real agentic AI product — and I can prove it.”
Proof, not a PDF
Pick 6. Build them properly. Defend one.
Choose six projects from a catalogue of seventeen, build each one with mentor reviews, then deploy and defend a single agentic AI product.
The commitment
8 weeks. Live with a trainer, every day.
Live online every weekday plus Saturday, 14 hours a week with a trainer. Assignments and labs happen offline, between sessions.
Mon – Fri
2 hrs / day
Live online session, one topic a day (90-min teach + 30-min clinic)
Saturday
4 hrs
Live lab clinic + project / capstone review
Offline
~11 hrs / wk
Your assignments, workbook labs and project build
112 live hours across the 8-week program, over twice the instructor-led time of a typical part-time track. A focused, full-throttle accelerator.
The path
The path, level by level.
Each level ends in a defended capstone. The full topic-by-topic detail is below.
AI & ML Foundations
Deep Learning & Generative AI
Agentic AI & Production
Total
8 weeks · 200 hours
The curriculum
What you'll cover.
A structured, level-by-level path. The full topic-by-topic detail comes on enrolment.
1Level 1 · Foundations
Weeks 1–3- Python data stack, just-enough math, the ML mindset
- Classical ML: regression, trees, ensembles, clustering
- Model evaluation, data leakage, feature engineering
- Your first neural network + first LLM API call
2Level 2 · Deep Learning & Generative AI
Weeks 4–6- Deep learning, CNNs & transfer learning
- Transformers, NLP & embeddings
- Prompt engineering, tool calling & RAG
- Fine-tuning vs RAG, GenAI evaluation & safety
3Level 3 · Agentic AI & Production
Weeks 7–8- AI agents, multi-agent systems & governance
- LLMOps: serving, observability, cost & drift
- Advanced retrieval, security & responsible AI
- Enterprise value, ROI & where the field is going
4Optional · Industry Certification Prep
- Aligned to Azure AI, AWS, Google Cloud & Databricks credentials
Where it leads
What you'll be ready for.
Spread the word
Grab a flyer. Tag a friend who needs this.
Share on WhatsApp or screenshot a card — someone in your circle is stuck exactly here.
From coder to AI engineer
Applied AI Engineering
- 8 weeks · 14 live hrs/week
- Build-first · mentor-led
- Ship a real agentic AI product
A portfolio, not a transcript
What you walk away with
- 6 projects, your pick of 17
- 1 defended capstone
- Deployed agentic product + business case
Built for the work the industry needs
Industry-current, 2026-fresh
- LLMs · RAG · agents · LLMOps
- Security, governance & ROI
- Certification-ready
Next USA & Canada batch begins the first week of August 2026.
Stop scrolling AI tutorials. Start shipping AI.
Join the early-access list for the next Applied AI Engineering batch and pick the cohort that fits you.