What people say oncethe course is behind them.

I walked in able to follow a tutorial and walked out able to ship without one.

I walked in able to follow a tutorial and walked out able to ship without one. The difference was the code review — every week someone senior read what I had written and told me exactly why a component was doing too much. Three interviews asked me to talk through a project; I had one I actually built, so it was a conversation instead of a recital.

The syllabus changed twice while I was in it, because the tools changed — which is the entire reason to learn this in a classroom instead of from a year-old playlist. We shipped an agent that reads a document set and answers with citations, and I understood every layer of it by the end.

I am not a developer and was worried I would be lost. The course is built for exactly that — it is about evaluating outputs and designing the process around them. I now run the AI workflows for a team of nine and I understand where they break.

We have taken four people from TechCadd in two years. Their candidates arrive with a repository and can defend the commits in it, which puts them ahead of most fresh graduates we screen. The gap is still system design — but that is an experience thing, not a training-institute thing.

The class critiques were brutal in the best way — your post goes up on the screen and fourteen people tell you why they scrolled past it. My engagement doubled within two months of applying what came out of those sessions.

They taught the maths behind the model, not just the library call.

I had done two online AI courses before this and could not explain a single thing I had built. Here they taught the maths behind the model before the library call, so when the output was wrong I knew where to look. The capstone was a retrieval system over our own documents — it is the project my current employer asked about.

I finished 12th and had no idea what any of these job titles meant. The counselling session was straight with me about what I would find hard. Six months in I am writing Python and I have a direction, which is more than most of my school friends have right now.

The lab was scoped and legal, and the report writing counted as much as the exploit.

The lab was scoped and legal, and the report writing counted as much as the exploit — which is exactly how the job works. My interview was ninety percent walk-me-through-your-findings-document. I had written eleven of them by then.

Everything was taught inside a contained lab with the rules spelled out on day one, which I appreciated — the legal and disclosure side gets skipped everywhere else. I came out with a methodology I can repeat, not a bag of tricks.

Batch of fourteen, so the trainer knew where each of us was stuck without being told. I came from a commerce background and was slower than the rest for the first month. Nobody made that a problem, and nobody slowed the class down for me either — I got the extra hour after class instead.

I was already working and took the weekend batch. It held its schedule for five months straight, which matters more than it sounds when you are fitting study around a job. The CI/CD pipeline we built is the template I still use.

Six months, four projects, one of them with a real client brief and a real deadline. The client one taught me more about requirements than the other three combined. Placement support was genuine help with the process rather than a promise of a job — which is how they described it up front.

Very good on paid ads and analytics. The email marketing module felt thin next to the rest, and I said so on the feedback form — they told me it was being rewritten for the next intake. Four stars until I see it.

I walked in able to follow a tutorial and walked out able to ship without one.

I walked in able to follow a tutorial and walked out able to ship without one. The difference was the code review — every week someone senior read what I had written and told me exactly why a component was doing too much. Three interviews asked me to talk through a project; I had one I actually built, so it was a conversation instead of a recital.

The syllabus changed twice while I was in it, because the tools changed — which is the entire reason to learn this in a classroom instead of from a year-old playlist. We shipped an agent that reads a document set and answers with citations, and I understood every layer of it by the end.

I am not a developer and was worried I would be lost. The course is built for exactly that — it is about evaluating outputs and designing the process around them. I now run the AI workflows for a team of nine and I understand where they break.

We have taken four people from TechCadd in two years. Their candidates arrive with a repository and can defend the commits in it, which puts them ahead of most fresh graduates we screen. The gap is still system design — but that is an experience thing, not a training-institute thing.

The class critiques were brutal in the best way — your post goes up on the screen and fourteen people tell you why they scrolled past it. My engagement doubled within two months of applying what came out of those sessions.

They taught the maths behind the model, not just the library call.

I had done two online AI courses before this and could not explain a single thing I had built. Here they taught the maths behind the model before the library call, so when the output was wrong I knew where to look. The capstone was a retrieval system over our own documents — it is the project my current employer asked about.

I finished 12th and had no idea what any of these job titles meant. The counselling session was straight with me about what I would find hard. Six months in I am writing Python and I have a direction, which is more than most of my school friends have right now.

The lab was scoped and legal, and the report writing counted as much as the exploit.

The lab was scoped and legal, and the report writing counted as much as the exploit — which is exactly how the job works. My interview was ninety percent walk-me-through-your-findings-document. I had written eleven of them by then.

Everything was taught inside a contained lab with the rules spelled out on day one, which I appreciated — the legal and disclosure side gets skipped everywhere else. I came out with a methodology I can repeat, not a bag of tricks.

Batch of fourteen, so the trainer knew where each of us was stuck without being told. I came from a commerce background and was slower than the rest for the first month. Nobody made that a problem, and nobody slowed the class down for me either — I got the extra hour after class instead.

I was already working and took the weekend batch. It held its schedule for five months straight, which matters more than it sounds when you are fitting study around a job. The CI/CD pipeline we built is the template I still use.

Six months, four projects, one of them with a real client brief and a real deadline. The client one taught me more about requirements than the other three combined. Placement support was genuine help with the process rather than a promise of a job — which is how they described it up front.

Very good on paid ads and analytics. The email marketing module felt thin next to the rest, and I said so on the feedback form — they told me it was being rewritten for the next intake. Four stars until I see it.