Corporate AI training · Onsite & live online

Based in Bengaluru · delivering across India

Live online · 10 hours · Open to professionals across India

Generative AI Course — Live Online for Professionals in India

Learn to use generative AI well at work, live online from anywhere in India. Ten hours of practical prompting, document and research workflows, and the review habits that keep AI output trustworthy. No coding.

Audience
Professionals, managers and beginners
Coding
Not required
Duration
10 hours · live online via Zoom
Where
Online, anywhere in India
Direct answer

What is the Technovids Generative AI course?

The Technovids Generative AI course is a 10-hour, live online course for professionals anywhere in India who want to use generative AI responsibly at work. It covers how AI assistants such as ChatGPT, Claude and Gemini work at a practical level, choosing suitable tasks, clear prompting, document and research workflows, checking output, privacy boundaries and an introduction to RAG and agents. No coding is required. Companies can also book a private version for their teams, online or onsite. It is a generative AI course online in India, open to learners anywhere in the country.

Updated

Who this page is for

Relevant audiences

  • Working professionals beginning structured GenAI use
  • Managers and team leads reviewing AI-assisted work
  • Analysts, HR, marketing, sales and operations professionals
  • Founders and consultants exploring safe productivity workflows

Useful when

  • You use AI casually but results are inconsistent
  • You need to distinguish suitable tasks from risky or unsupported use
  • You want practical workflows without learning Python
  • You need a foundation before prompt engineering or AI engineering

Scope boundary: This page does not promise a fixed public date, classroom delivery, productivity percentage or engineering depth. Dates, fee and inclusions are confirmed for the scheduled cohort; the standard course runs 10 hours.

Decision guide

Use GenAI where assistance can be checked

The course helps learners choose tasks and review output rather than treating every workflow as an automation opportunity.

What is the real task?

Define the audience, source material, desired output and human decision before choosing a tool.

What data is permitted?

Use approved accounts and safe inputs; keep personal, confidential and regulated data out unless explicitly authorised.

How will output be checked?

Identify original sources, calculations, policy, tone and completeness checks before the prompt is written.

When is a deeper course needed?

Prompt engineering adds repeatability; AI Engineering adds Python, retrieval, tools, APIs and deployment.

Practice for each role

Turn knowing about AI into checked, everyday work

Examples are matched to your people’s roles and to the tools, data and policies your company has approved.

Research and summaries

Frame a question, gather material you are allowed to use and write a summary ready for a decision.

Practise
Keep what the sources say, what the AI concluded, the gaps and the questions for a person apart.
Control
Citations and claims from AI are checked against the original sources.

Drafting and reviewing documents

Write a first draft from an approved brief, examples and clear limits.

Practise
Check accuracy, tone, gaps, policy and the reader before it is used.
Control
The model does not approve legal, HR, finance or customer promises.

Meetings and actions

Turn approved notes or transcripts into decisions, actions and follow-up drafts.

Practise
Confirm who owns each task, the deadlines, any sensitive details and anything still being argued over.
Control
A summary does not replace the official record or the person responsible.

Help with analysis

Use AI to explain fields, suggest checks, draft formulas or sort observations.

Practise
Check sums against the source data, and keep the facts apart from what you think they mean.
Control
AI does not sign off a forecast, a financial result or a business decision on its own.

Messages to customers and staff

Draft a reply from an approved brief, knowledge source and escalation rule.

Practise
Check personal data, policy, promises, tone and whether a person should take over.
Control
Important or sensitive messages stay with a qualified reviewer.

Choosing where to start

Compare possible uses by value, how easy they are, risk, who owns them and evidence.

Practise
Pick one clearly limited pilot with a starting point, a reviewer and rules for when to stop.
Control
Training does not approve buying tools, going live or automated decisions.
Options

Choose the depth that matches your next task

Generative AI foundations can lead to workplace specialisation or technical application building.

This page

Generative AI foundation

Understand concepts, suitable use, prompting, verification and responsible application.

Best for: Beginners and cross-functional professionals

  • No-code core
  • Practical examples
  • Responsible use

Prompt Engineering

Design and evaluate reusable prompts for recurring work.

Best for: People already using AI who need consistency and shared patterns

  • Prompt structures
  • Examples and output schemas
  • Evaluation workflow
Compare Prompt Engineering

AI for Business Professionals

Apply AI more deeply across role-specific business tasks and templates.

Best for: Corporate professionals and functional teams

  • Department workflows
  • No coding
  • Practical materials
View the business course

AI Engineering

Build RAG, agents, MCP integrations and deployable services with Python.

Best for: Developers who meet the technical prerequisites

  • Code-first
  • Portfolio projects
  • 48-hour public weekend batch
View the AI Engineering Course
Compare the paths

Generative AI course versus AI Engineering course

One teaches responsible application; the other teaches software construction.

Decision pointGenerative AI CourseAI Engineering Course
CodingNot required for the core pathwayWorking Python required
Primary outcomeReviewed AI-assisted workflowsBuilt and evaluated AI applications
Technical depthConceptual RAG and agent introductionRAG, agents, MCP, APIs and deployment
Best fitProfessionals using AI in their roleDevelopers building AI-enabled software
Practical value

What a learner should be able to do

The course builds practical judgement and repeatable habits rather than claiming mastery of every AI tool.

Frame useful tasks

Turn a work need into a clear brief with source, audience and expected output.

Create reusable prompts

Use context, constraints, examples and format to improve repeatability.

Review output

Check facts, sources, calculations, uncertainty, privacy and accountability.

Choose a next pathway

Recognise whether self-practice, prompt engineering, role training or AI engineering is appropriate.

Method

From course enquiry to applied practice

The next confirmed cohort information is shared before enrolment, and the learning path keeps practice and review visible.

  1. 01

    Check course fit

    Share your background, current tools and goal. Chandan discusses fit first; a subject-matter expert follows up when technical depth is needed.

  2. 02

    Review the confirmed offer

    Receive the current dates, live schedule, fee, prerequisites, inclusions and cancellation or transfer terms before deciding.

  3. 03

    Prepare accounts and environment

    Complete the stated setup using your own suitable device and any accounts or paid API access required for the selected course.

  4. 04

    Attend, practise and review

    Join live Zoom classes, complete exercises or projects, use LMS resources and apply instructor feedback.

  5. 05

    Complete the learning evidence

    Submit the agreed work and receive a Technovids completion certificate with a unique website-verifiable ID when the stated requirements are met.

What you receive

Public-cohort learning environment

The final agenda and exercises are supplied with the confirmed dates and fee.

  • Live Zoom classes

    Instructor-led explanations, demonstrations, practice and questions.

  • Technovids LMS

    Notes, assignments, lab instructions and the cohort discussion group.

  • Three-month recording access

    Class recordings uploaded within 24 hours and available for three months.

  • Verifiable certificate

    Technovids completion certificate with a unique website-verifiable ID when requirements are met.

Safe application

Safe use is taught as part of the work

Your people practise using AI within your company’s rules, with a named person responsible at every key step.

Use approved tools and data

Accounts, private and personal data and intellectual property follow your current policies and approved systems.

Check work that matters

Facts, sums, sources, tone, gaps and the effect on decisions are checked against the original material and the task.

Keep a person in charge

AI can help draft or analyse, but a named person still reviews the work and owns the action or decision.

Measure one clear task

Teams compare quality, effort, take-up and risk on one defined task, instead of claiming general time savings.

Trainers

Meet the Technovids trainer panel

We choose the trainer once we know who is attending, how deep the subject goes and how it will be delivered.

  • Pankaj Rana

    Co-founder & Lead Instructor, Technovids Consulting

    Pankaj is a co-founder and the lead instructor at Technovids Consulting. His programme work spans practical AI adoption, AI engineering, evaluation, responsible production AI, data analytics and corporate learning design, with an emphasis on hands-on exercises connected to workplace tasks.

    Expertise:

    • Practical AI adoption
    • Prompting and evaluation
    • Responsible AI
    • Corporate learning design
  • Junaid Khateeb

    AI & Machine Learning Trainer, Strategist and Consultant

    Junaid is an AI and machine-learning trainer, strategist and consultant with more than 22 years of training experience. His work combines enterprise AI education, business-centred adoption, responsible AI practices and applied solution design, helping professional audiences connect AI concepts to real organisational needs.

    M.E. in Computer Engineering, specialising in Artificial Intelligence · author of programming books on Python, Java and C++

    Expertise:

    • Enterprise AI and ML training
    • AI strategy and adoption
    • Responsible AI
    • Applied AI solution design
  • Pradeep Varadarajan

    Technical Trainer & Curriculum Architect

    Pradeep is a technical trainer and curriculum architect with more than 20 years of experience across enterprise technology, cloud infrastructure and advanced AI systems. He designs practitioner-focused programmes, labs and assessments covering AI, LLM systems, Python and machine learning, translating complex technical subjects into structured learning experiences.

    Bachelor of Engineering in Electrical Engineering · instructor-led, virtual and blended delivery

    Expertise:

    • AI and LLM systems
    • Curriculum architecture
    • Python and machine learning
    • Hands-on lab design

Your proposal names the trainer. Not every trainer shown here teaches every programme.

To book a trainer for your team, call +91 86183 46384 or email [email protected].

Updated

Questions before deciding

Frequently asked questions

These answers cover what this page offers. Your written proposal sets out the terms for your own programme.

How long is the Generative AI course?

The standard Generative AI course runs 10 hours, delivered live online. A private team version can be shortened or extended, and the written proposal confirms its final duration.

Is coding required for the Generative AI Course?

No for the core professional pathway. The course focuses on GenAI concepts, prompting, workplace application and review. Learners who want to build RAG, agents or integrations need a technical course with Python prerequisites.

Which AI tools are covered?

The confirmed cohort may demonstrate leading assistants such as ChatGPT, Claude, Gemini or approved workplace tools. The course teaches transferable task, prompt and review principles rather than promising equal depth in every product.

Does the course include RAG and AI agents?

It can introduce what RAG and agents are, where they are useful and what risks they add. Building them in code belongs to the AI Engineering or focused technical pathways.

Can companies request a private GenAI programme?

Yes. Private delivery can be customised to roles, approved tools and workplace examples and delivered live online or onsite at the client’s workplace when agreed.

Can I join the Generative AI course from anywhere in India?

Yes. Classes are live online through Zoom, so you can join from any city. Technovids does not run public classroom batches; private team programmes can also be delivered onsite at your office.

When does the next online batch start?

Dates and fees are shared for each confirmed batch. Submit an enquiry to receive the current schedule, inclusions and enrolment terms.

Talk to Technovids

Get a training proposal for your team

Tell us who the training is for, roughly how many people, and what you want them to do better at work. The Technovids team will scope it and reply with a written proposal.

Tell us your role or team, the tools you use, and what you want to practise.

Technovids Consulting

Bengaluru head office. India-wide live delivery.

2nd Floor, Chandrodaya Complex, 19/19, 24th Main Rd, near Hanuman Temple, Agara Village, 1st Sector, HSR Layout, Bengaluru, Karnataka 560102.

Please contact us before visiting the head office. The HSR Layout address is a head office, not a walk-in public classroom.

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