You can code. Soon, you’ll ship AI.
Applied AI Engineering — GuildTrek’s upskilling program for working engineers and CS grads. 6 to 9 weeks, live online 2 hours a day plus Saturdays. Launching soon; join the early-access list and be first through the door.
Launching soon · be first in line
What you walk away with
6–9
Weeks
14
Live hrs / week
27
Topics
6
Projects you build
1
Defended capstone
225
Total hours
Sound familiar?
If any of these is you — keep reading.
You're not behind. You just never got to build the real thing.
“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.
Udemy has 100+ at ₹500 — and people still can't ship. Watching isn't building. Here's the difference:
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 hired.
In 6–9 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.
Your project catalogue — choose two per level, build them with mentor reviews, then ship the capstone. Six real repos beat seventeen half-finished ones in an interview, and the briefs you don't pick stay yours as alumni.
The commitment
6–9 weeks. Live with a trainer, every day.
Live online every weekday evening 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
126 live hours across the program — over twice the instructor-led time of a typical part-time track. 9 weeks standard; a 6-week full-time intensive runs the same syllabus.
The path
Three levels. One trek to job-ready.
Each level ends in a defended capstone. The full topic-by-topic detail comes on enrolment.
AI & ML Foundations
Deep Learning & Generative AI
Agentic AI & Production
Total
9 weeks · 225 hours across 27 topics
Full curriculum outline — all 27 topics
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 7–9- 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
You'll graduate ready for
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Grab a flyer. Tag a friend who needs this.
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From coder to AI engineer
Applied AI Engineering
- 6–9 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 being hired for
Industry-current, 2026-fresh
- LLMs · RAG · agents · LLMOps
- Security, governance & ROI
- Certification-ready
Launching soon · be first in line
Stop scrolling AI tutorials. Start shipping AI.
The first cohort is forming. Join the early-access list — a real advisor (not a bot) follows up, and you get first pick of a seat before we open to everyone.