About Course
About Generative AI Training
Pune's advantage is that it combines three economies most cities have only one of: automotive and manufacturing engineering around Chakan and Hinjawadi, a large IT and BFSI services base, and a research and education corridor. That combination is why AI work here tends to be applied and physical — line quality, predictive maintenance, connected-vehicle data, supply-chain forecasting — rather than purely conversational. The engineering culture in the city expects evidence that a model works under plant conditions, not only on a benchmark.
The services base adds a second route: firms here run AI and data programmes on behalf of global clients, so engineers need to work inside someone else's governance, security and audit requirements from day one. Graduates most often land in analytics, data platform or ML engineering roles inside those two ecosystems, because both are short of people who can operate a pipeline as well as build one.
This Pune page carries the same 12-week, 72-hour Generative AI Training syllabus, faculty and assessment as the master programme, delivered live online and in hybrid format, with classroom batches at our Thoraipakkam centre.
Course Overview
12-week Generative AI training (72 hours) covering transformers, tokens and context windows, prompt design, evaluation methods, hallucination, safety guardrails and model cost. Classroom, Live Online and Hybrid.
Why Learn Generative AI Training
Manufacturing around Chakan and Hinjawadi needs engineers who can put a model on the line and defend its readings, which rewards domain knowledge over model fashion.
IT and product engineering firms in the city deliver AI work under client governance, so experience with evaluation, lineage and audit travels well between accounts.
Insurance and BFSI operations in the region are consolidating analytics, creating roles that combine actuarial thinking with working knowledge of modern pipelines.
AI and data hiring sectors in Pune
- Automotive, engineering and manufacturing
- IT services and product engineering
- BFSI operations and insurance shared services
- Pharma, education and research institutions
Demand drivers behind Pune AI and data hiring
- Predictive maintenance and quality analytics demanded by plant operations
- Connected-vehicle and telematics data needing engineering rather than reporting
- Client governance and audit requirements applied to AI delivery in services firms
- Supply-chain volatility forcing forecast-driven planning in manufacturing
Who Should Join This Course
- Product Managers — Deciding what a language model can and cannot be trusted to do
- Business Analysts — Turning a vague AI idea into a scoped, testable use case
- Marketing and Content Teams — Using generated text without shipping invented facts
- Software Developers — Getting the foundations before moving into application build
- Fresh Graduates — Entering AI work without a machine learning background
- Risk and Compliance Staff — Assessing an AI feature before it reaches customers
Prerequisites
No AI or coding experience is required. You should be comfortable reading a business process description and working with structured documents. Anyone who has written a report, a policy or a specification will find the prompt material familiar, because good prompting is specification writing with a machine on the other end.
Learning Objectives
- Explain how a transformer produces a token and why the answer is not a lookup
- Size a prompt with role, context, constraints and an explicit output contract
- Choose an evaluation method that measures the behaviour you actually care about
- Detect and reduce hallucination with grounding, citations and refusal behaviour
- Set a confidence and escalation path for answers a model should not guess
- Budget a feature in tokens and state its cost per thousand requests
- Write a safety policy covering prompt injection, data leakage and harmful output
- Take a use case from idea to a tested, costed, gated proposal
What the Syllabus Covers
Each module is assessed against published Generative AI Fundamentals outcomes rather than on memorisation, covering Transformers, Prompt Design, Evaluation, Hallucination Detection, Guardrails, Model Costing together with a prompt-specification method, an evaluation set built from real traffic, a red-team checklist for prompt injection and data leakage, and a written recommendation you can defend in a review.
Career Opportunities After This Programme
- Generative AI Analyst
- AI Prompt Engineer
- AI Product Analyst
- Solution Consultant (GenAI)
- AI Content Strategist
- Responsible AI Analyst
Hands-on Practice and Capstone
Capstone: Take a real business process to a decision: define the prompt contract and output schema, build an evaluation set from genuine examples and score the first version, add grounding with citations and re-measure the hallucination rate, write the safety and prompt-injection policy with a human escalation gate, then present the per-request cost and a defensible go-or-no-go recommendation.
Production scenario: A team shipped a customer-facing assistant that confidently cites a refund policy the company does not have. The course treats that as the normal failure mode rather than bad luck: the fix is an eval set built from real tickets, grounding that forces a citation for every policy claim, a refusal path for anything ungrounded, and a measured hallucination rate tracked across releases instead of a demo that looked fine on ten examples.
Course Duration, Mode and Certification
The course runs for 12 weeks (72 hours), three sessions a week of two hours each. Modes: Classroom / Live Online / Hybrid. Certificate issued: SkilBrill Course Completion Certificate. Assessment is against published Generative AI Fundamentals outcomes, and you finish with evidence you can show rather than a pass mark.
Is classroom training available in Pune? Classroom batches run at our Thoraipakkam centre in Chennai. Learners in Pune join the same live online or hybrid cohort taught by the same faculty, with the same assessment and placement support.
Why Train at SkilBrill
SkilBrill Training Institute in Thoraipakkam focuses on making you employable. Trainers are working AI, data and platform engineers, every module produces portfolio evidence rather than a completion badge, and the placement cell connects eligible candidates with hiring companies. Fee: ₹45,000 – ₹75,000. Enquire on +91 8610964691.
Career and Job Support
- Resume assistance tailored to AI, data and platform engineering roles
- LinkedIn profile rewrite and recruiter outreach
- Mock interviews covering evaluation, pipeline design and system-review scenarios
- Capstone walkthrough and portfolio review preparation
- Placement assistance with 200+ hiring partners
- Typical salary band after completion: ₹6 – 16 LPA
Frequently Asked Questions
What does the Generative AI training at SkilBrill cover?
Twelve weeks and 72 hours over eight modules: how transformers and tokens work, prompt design as engineering, evaluation, grounding and hallucination, safety and prompt injection, cost and latency, applied practice, and a capstone that ends in a costed go-or-no-go proposal.
Do I need to code for this course?
No. This is the practitioner and governance side of generative AI rather than the application build. You will work with prompts, evaluation spreadsheets and scorecards, and read enough code to review what a developer shows you. If you want to build LLM applications in Python with retrieval, that is the separate LLM Application Development course.
How is this different from the AWS Generative AI Development course?
That course builds on Amazon Bedrock and AWS-specific services. This one is platform-neutral and spends its time on prompting, evaluation, hallucination, safety and cost, which behave the same whichever provider you use. The two cross-link rather than compete, and you can take either first.
Is certification included?
The syllabus follows generative AI fundamentals objectives so it works as preparation for foundation-level credentials. Vendor exams are booked through their own programmes, and the SkilBrill completion certificate is issued by us on the capstone.
What is prompt injection and why is it a full module?
It is an attack where instructions hidden in a web page, email or uploaded document override your system prompt. It is the most common real security failure in deployed AI, so the module covers direct, indirect and document-borne variants plus the filtering and escalation policy that limits the damage.
Will I be able to evaluate an AI feature critically?
That is the point of the course. You will build an evaluation set from real traffic, score format compliance and factuality separately, and recognise the moment a benchmark rises while the product actually gets worse for the user.
What kind of roles does this lead to?
Generative AI analyst, prompt engineer, AI product analyst, solution consultant and responsible AI analyst roles, plus product and risk positions that need to judge AI features rather than build them.
Is classroom training available in Pune?
No. SkilBrill's classroom runs only in Chennai. Learners in Pune join the same live online / hybrid cohort taught by the Chennai faculty, with proctored labs and the same placement support.
Which companies hire for these skills in Pune?
Learners in Pune typically target a mix of MNCs and startups such as Infosys, Wipro, TCS, Capgemini. The programme's placement support applies equally to Pune learners.
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