Most institutes teach AI from a textbook. Wikpolt Softwares teaches AI from a codebase.
We're not a training academy that rents trainers for two hours a day. We're a software company with expert team in Trivandrum that builds real products for real clients — and now we're opening our engineering floor to students who want to learn Artificial Intelligence the way it's actually practiced: messy datasets, real deadlines, working software.
If you want a certificate to frame, there are five other institutes in this city that will happily sell you one. If you want to build something an employer can test in an interview, keep reading.
Wikpolt Softwares' AI Course in Trivandrum is a 12-week (weekday) or 16-week (weekend) hands-on program — available in-classroom at Trivandrum or live online — that takes learners from Python and ML foundations through Deep Learning, Generative AI, LLMs, RAG, and AI Agents. Every student ships five guided projects plus one deployed capstone application, and receives a project-verified certificate on completion, backed by resume, mock-interview, and hiring-referral support.
| Course Name | Artificial Intelligence Course in Trivandrum |
|---|---|
| Duration | 12 weeks (Weekday) / 16 weeks (Weekend) |
| Mode | Classroom (Trivandrum) & Live Online |
| Eligibility | Any graduate, engineering student, or working professional |
| Prerequisite | Basic Python helpful, not mandatory (covered in Week 1) |
| Curriculum Focus | ML, Deep Learning, NLP, Generative AI, LLMs, Agentic AI, MLOps |
| Projects | 5 hands-on builds + 1 capstone product |
| Certification | Yes, project-verified certificate |
| Placement Support | Resume, mock interviews, hiring referrals |
Trivandrum isn't Bangalore, and that's exactly the point. Technopark — one of India's largest IT parks — sits right here, and it's no longer just a services hub. Product companies, GCCs (global capability centers), and homegrown software firms inside and around Technopark are actively building AI features into their products: chatbots, recommendation engines, document automation, AI copilots — the same kind of work our own AI & ML engineering team ships for clients every week.
AI hiring in Trivandrum isn't only for "data scientists" anymore. Companies want full-stack developers who can bolt an LLM onto a product, QA engineers who understand AI-assisted testing, and support engineers who can deploy and monitor AI models.
The demand has widened, but most local training institutes haven't. They're still teaching 2018-style machine learning theory while job descriptions have moved to LLMs, RAG pipelines, and AI agents.
That gap is exactly where Wikpolt's AI course lives — a syllabus built for what Technopark is hiring for today, not a decade ago.
You don't need to be a data science major. Here's who typically joins us.
Final-year students and fresh graduates who want an AI skill that actually shows up in job descriptions right now, not a decade-old syllabus.
Java, PHP, .NET, MERN developers who want to add AI/LLM integration to their existing skill set instead of switching careers entirely.
Engineers in Technopark companies who see AI projects landing on their team and want to stay relevant.
Accountants, analysts, content teams switching domains who want a practical, non-intimidating path into AI without a math PhD.
Founders and freelancers who want to build AI features into their own product or client work without hiring a data science team.
If any of that sounds like you, this course was built with you in mind — not a generic "anyone can join" line every institute uses. Not sure this is the right fit? Browse our full Python, Data Science & Generative AI course lineup in Trivandrum.
Be honest with yourself before you enroll anywhere: ask what the trainer built last month, not just what certificate they hold. Read more about Wikpolt Softwares as a company before you decide.
Our instructors are practicing software engineers at Wikpolt who build AI features into live client products. You learn the same patterns they use at work the next day.
No lingering modules on outdated theory. We teach what's on real Technopark job descriptions today: LLMs, RAG, prompt engineering, AI agents, and MLOps.
Your capstone isn't a Jupyter notebook that dies after submission — it's a deployed, working AI application you can demo live in an interview and link on your resume.
No 60-student lecture halls. You get real code review, not a recorded video on loop.
Because we hire developers ourselves, we know exactly what a hiring manager checks for in an AI portfolio — and we build your projects around that checklist.
Straightforward pricing with a clear breakdown, shared upfront during your first call — not buried behind a "request a quote" wall.
This isn't a bloated 40-module list designed to look impressive. It's a sequence designed to get you from zero to deployable AI skills in three progressive stages.
This is where Wikpolt's course pulls ahead of the standard institute syllabus — see how these ideas play out in production on our Generative AI blog .
You choose one and build it end-to-end with mentor support:
Reading a tool name on a slide isn't the same as touching it. In this course, you get hands-on time with:
AI didn't just create one job title — it reshaped dozens. Depending on your background, this course opens paths like:
| Role | What They Do |
|---|---|
| AI/ML Engineer | Builds and deploys machine learning models into products. |
| Generative AI Developer | Builds LLM-powered features such as chatbots, copilots, and content tools. |
| Prompt Engineer | Designs and optimizes prompts for reliable AI output. |
| AI Product Analyst | Bridges business needs and AI capability for product teams. |
| MLOps Engineer | Deploys, monitors, and maintains AI models in production. |
| AI-Integrated Full-Stack Developer | Regular developer who adds AI features to existing apps. |
We keep this simple, on purpose.
Ideal for students and job-seekers who can commit daytime hours.
Built for working professionals who need a slower, weekend-only pace.
For learners outside Trivandrum — identical mentor access and projects.
For professionals with tight timelines who need a personalised schedule.
Fees are shared transparently on a call — including exactly what's covered (curriculum, mentor sessions, capstone deployment, placement support) so you're not left guessing what's an "add-on" later. We also support EMI options for eligible learners.
On completing the course and your capstone project, you receive a Wikpolt Softwares AI Certification — verified against your actual deployed project, not just attendance. That distinction matters: when a recruiter or LinkedIn connection checks your certificate, your project link backs it up. Have questions about the process? Get in touch with our team .
Resume review focused on how AI/ML skills should actually be framed for recruiters.
Mock technical interviews covering ML fundamentals, GenAI concepts, and project walkthroughs.
Referrals and introductions to Wikpolt's own hiring network and partner companies in Technopark.
Guidance on building a public GitHub/portfolio that showcases your capstone
We won't promise a "100% guaranteed placement" — no ethical institute can promise an outcome that depends on your interview performance and the market. What we do guarantee is that you'll leave with a real, deployable project and the interview preparation to talk about it well.
For most learners, a course that covers both classical ML fundamentals and Generative AI is the better choice. Classical ML gives you the reasoning foundation (how models learn, evaluate, and fail), while GenAI/LLM skills are what's driving current hiring demand. A GenAI-only course without the fundamentals often leaves gaps that show up quickly in technical interviews.
Fees vary widely by institute and depend on curriculum depth, live project inclusion, and placement support. Rather than quoting a number that changes often, we share an itemized fee breakdown on your enrollment call so you know exactly what you're paying for.
You can build genuine, job-relevant AI skills in 3 months if the course is structured around hands-on projects rather than passive lectures — which is exactly why our 12-week weekday batch is project-anchored from week one. Mastery of every AI subfield in 3 months isn't realistic for anyone, but employable, demonstrable skill is.
AI is commonly categorized by capability (Narrow AI, General AI, and the theoretical Super AI) and by functionality (Reactive Machines, Limited Memory, Theory of Mind, and Self-Aware AI). In this course, you'll work almost entirely with Narrow AI systems — the category that includes every LLM, chatbot, and ML model used commercially today.
No prior coding is mandatory. If you're completely new to programming, we recommend our short Python primer before Week 1. If you already code in any language, you can start directly.
Both. You can join the classroom batch in Trivandrum or the live online batch — the curriculum, mentor access, and project requirements are identical either way.
Free and government-run AI programs are a solid starting point for exposure to concepts, but they rarely include mentor-reviewed capstone projects, deployment support, or placement guidance tied to local hiring. This course is built specifically to get you from "I understand AI concepts" to "I can show a working AI product I built."
Machine Learning is the broad field of systems that learn from data. Deep Learning is a subset of ML using neural networks with multiple layers, especially strong for images, speech, and language. Generative AI is a further subset — typically built on deep learning — focused specifically on creating new content: text, images, code, or audio. This course covers all three in that logical order.
Yes — five guided projects across the ML and GenAI modules, plus one full capstone application you deploy and can demo live.
Yes. Our weekend and evening batches are designed specifically for that. Many of our learners are working developers upskilling into AI alongside their current job.
Yes, we offer a free demo session so you can meet a trainer and see the teaching style before committing.
You've read enough AI course pages by now to know most of them sound the same — "expert trainers," "100% placement," "industry curriculum." We'd rather you judge us on one thing: come see what our students actually built.
Book a free demo session with Wikpolt Softwares and get a clear, honest look at the curriculum, the fees, and the kind of AI projects you'll be shipping in 12 weeks.
We'll call you within one business day with batch timings.