Generative AI Training in Kolkata

Are you looking to harness the power of Generative AI to elevate your business operations and marketing strategies? Join Parikshit Khanna's comprehensive Generative AI training in Kolkata. This specialized program is designed to equip you with the skills and knowledge needed to leverage Generative AI for various business applications, from content creation to customer engagement.

Updated: August 2026

Overview	Details
Programme	Generative AI Training in Kolkata
Lead Trainer	Parikshit Khanna
Format	Corporate onsite, institutional, online and customised workshops
Core AI Platforms	ChatGPT, Gemini, Claude, Grok, Perplexity, NotebookLM
Advanced Areas	Prompt Engineering, Agentic AI, AI Agents, n8n, automation, Custom GPTs/Gems
Business Functions	Marketing, Sales, HR, Finance, Operations, Customer Support, Leadership
Target Location	Kolkata, Salt Lake Sector V, New Town, Rajarhat and wider West Bengal
Current Stated Reach	3,50,000+ professionals and learners
Contact	parikshitkhanna@digitaltrainingjet.com
Call / WhatsApp	+91 9997213177 / +91 8076250669

Why Generative AI Training Matters in Kolkata in 2026

Kolkata's technology ecosystem continues to expand.

In February 2025, Software Technology Parks of India, under MeitY, opened a 200,000 sq. ft. incubation facility in Salt Lake, Kolkata, designed to strengthen technology entrepreneurship, IT exports and the IT/ITeS/ESDM ecosystem in West Bengal.

The Government of West Bengal's Information Technology and Electronics Department is itself based in Sector V, Salt Lake, reinforcing the area's importance to the state's technology economy.

For professionals and organisations, however, the AI opportunity now extends well beyond IT.

Kolkata Business Area	Practical Generative AI Applications
Marketing	Campaign ideation, SEO research, content, customer personas, advertisements
Sales	Prospect research, proposals, follow-ups, objection handling
Customer Support	Knowledge assistance, response drafting, ticket summarisation
HR & L&D	JDs, training content, communication, policy drafting
Finance	Excel assistance, MIS commentary, document summaries, analysis
Operations	SOP drafting, process documentation, workflow mapping
Entrepreneurs	Market research, proposals, presentations, productivity
E-commerce	Product descriptions, customer research, campaigns
Real Estate	Listings, lead nurturing, market research, sales communication
Education	Research, presentations, learning content, faculty productivity
Leadership	AI strategy, adoption, governance, opportunity identification

The Business Case for Generative AI

Generative AI can create significant value, but responsible marketing should avoid promising identical percentage improvements for every organisation.

Evidence-Based Finding	What It Means
$2.6–$4.4 trillion potential annual economic value from Generative AI across McKinsey's analysed use cases	The economic opportunity is large but depends heavily on implementation.
About 75% of identified value concentrated in customer operations, marketing & sales, software engineering and R&D	These are especially promising starting points for AI adoption.
Marketing productivity potential equivalent to 5–15% of marketing spending	AI may materially change content, research and campaign workflows.
Customer-care productivity potential equivalent to 30–45% of current function costs	Customer-service workflows are a significant GenAI opportunity.
Agentic AI could account for more than 60% of increased AI-generated value in marketing and sales, according to McKinsey's modelling	The conversation is increasingly shifting from chatbots to agents that execute workflows.

Important: These are research estimates and potential-value ranges—not guaranteed outcomes for an individual business.

The AI Landscape Has Changed Dramatically in 2026

A modern Generative AI course should not be based on a 2024 tools list.

AI Platform / Model	2026 Relevance
ChatGPT / GPT-5.6 Sol	OpenAI began rolling out GPT-5.6 Sol in July 2026 for complex reasoning, coding, research, science, cybersecurity, computer use and design on eligible paid ChatGPT plans.
Gemini 3.6 / 3.5	Google's latest Gemini models emphasise agents, coding, multimodal intelligence and efficient enterprise workflows.
Claude Sonnet 5	Anthropic describes Sonnet 5 as its most agentic Sonnet model yet, with strong planning, tool use, coding and knowledge-work capability.
Claude Fable 5	Anthropic's newer high-capability model targets complex software engineering, research, vision and knowledge work.
Grok 4.5	xAI launched Grok 4.5 in July 2026 for coding, agentic tasks and knowledge work.
Gemini Spark	Google is rolling out a persistent AI agent in India capable of performing multi-step work using Workspace context.

The implication is important:

AI training in 2026 must teach workflows and judgement—not just prompting.

Meet Parikshit Khanna

Profile	Details
Name	Parikshit Khanna
Professional Positioning	Enterprise AI & Generative AI Trainer
Organisation	Founder, Digital Training Jet
Training Reach	Current stated cumulative reach: 3,50,000+ professionals and learners
Core Focus	Practical business adoption rather than theory-heavy AI education
Tools	ChatGPT, Gemini, Claude, Grok, Copilot, NotebookLM, Perplexity, Canva AI
Advanced Capabilities	Prompt Engineering, Agentic AI, n8n, Custom GPTs, Gems, automation
Functional Training	Marketing, Sales, HR, Finance, Operations, Healthcare, Legal, Education
Delivery	Corporate, institutional, online, onsite and customised programmes

Parikshit's training approach focuses on moving participants from:

“I have tried ChatGPT.”

to:

“I know how to apply AI to a business problem, verify the result and create a repeatable workflow.”

Comprehensive Generative AI Curriculum

Module 1: Generative AI Foundations

Topic	What Participants Learn
Generative AI	What modern AI systems actually do
LLMs	How large language models work at a practical level
Multimodal AI	Text, image, audio, video and document workflows
AI Agents	How AI systems can execute multi-step tasks
Hallucinations	Why confident AI answers can still be incorrect
Human Review	Where professional judgement must remain in control

Module 2: Prompt Engineering

Participants learn a structured framework instead of random “magic prompts.”

Prompt Component	Question to Answer
Role	Who should the AI act as?
Context	What background information does it need?
Task	What exactly should it accomplish?
Data	What source material should it use?
Format	How should the answer be structured?
Tone	Who will read the output?
Constraints	What must it avoid?
Verification	What facts need checking?

Example

Weak prompt:“Write a marketing plan.”

Professional prompt:“Act as a B2B marketing strategist for a Kolkata-based professional-services company. Using the supplied customer profile, prepare a 90-day marketing plan covering LinkedIn, email, SEO and webinars. Separate assumptions from verified facts, provide KPIs for each channel, and do not invent industry statistics.”

Module 3: ChatGPT for Business

Use Case	Practical Exercise
Emails	Drafting and rewriting professional communication
Research	Structuring and summarising information
Reports	First drafts and management summaries
Proposals	Creating client-oriented proposal structures
Presentations	Developing narratives and executive briefs
Documents	Summarisation and comparison
Data	Interpretation and explanation
Custom GPTs	Designing repeatable specialised assistants

Module 4: Google Gemini

Application	Training Focus
Research	Analysis and synthesis
Multimodal AI	Working with text, images, documents and other inputs
Google Workspace	Productivity concepts around Gmail, Docs, Sheets and Slides
Gems	Reusable AI assistants
Agentic AI	Moving from answers toward multi-step execution
Gemini Spark	Understanding persistent AI-agent workflows

Google reported in May 2026 that the Gemini app had grown to more than 900 million monthly users across 230 countries and 70+ languages, demonstrating the platform's expanding global footprint.

Module 5: Claude AI

Application	Why It Matters
Long Documents	Analyse complex source material
Knowledge Work	Research and professional drafting
Coding	Software and technical workflows
Agents	Multi-step tasks and tool use
Business Writing	Reports, strategy documents and policies
Verification	Structured review and critique

Module 6: Grok

The original article referenced Grok 4. The current landscape has already moved forward.

Grok 4.5 launched in July 2026 and is positioned by xAI around coding, knowledge work and agentic tasks.

xAI has also expanded Grok into:

• GitHub Copilot;

• Excel;

• Word;

• PowerPoint;

• Outlook;

• scheduled automation;

• and agentic workflows.

Grok Training Area	Example
Research	Current-event and market exploration
Coding	Technical assistance
Excel	Formula and analysis support
PowerPoint	Presentation workflows
Word	Documents and research
Automation	Scheduled or triggered AI jobs

Module 7: AI for Marketing

Marketing Activity	AI Application
Personas	Analyse customer needs
SEO	Topic research, structure and content support
Ads	Multiple creative variations
Social Media	Content calendars and first drafts
Email	Personalised campaigns
Research	Competitor and market analysis
Video	Scripts and concepts
Campaigns	Ideation and experimentation
Analytics	Interpretation and recommendations

McKinsey estimates that Generative AI could create marketing productivity value equivalent to approximately 5–15% of total marketing expenditure, while stressing that implementation and broader organisational changes determine realised value.

Module 8: AI for Customer Service

Before AI	AI-Assisted Workflow
Agent manually reads long ticket	AI produces concise issue summary
Searches several knowledge pages	AI retrieves relevant information
Writes reply from scratch	AI prepares first draft
Escalates manually	AI classifies and routes issue
Manager reviews random interactions	AI helps identify recurring patterns

The objective is not necessarily to remove human agents.

It is to allow people to spend more time handling complex, sensitive and high-value interactions.

Module 9: AI Agents & n8n Automation

This is one of the most important differences between a 2024 AI workshop and a 2026 programme.

Traditional GenAI	Agentic AI
User asks a question	User defines an objective
AI produces an answer	AI executes multiple steps
One interaction	Persistent workflow
Manual copying between apps	Tools can be connected
Human initiates every step	Triggers may initiate workflows
Output	Action + approval + outcome

Example Workflow

Lead Form

↓

AI Research

↓

Lead Classification

↓

CRM Update

↓

Personalised Email Draft

↓

Human Approval

↓

Send

Participants can explore platforms such as n8n, Make, Zapier and API-based workflows, depending on programme scope.

Module 10: AI for Data, Excel & Business Intelligence

Task	AI-Assisted Application
Data Cleaning	Identify inconsistencies
Formula Help	Explain or construct formulas
MIS	Create first-draft narratives
Variance Analysis	Identify unusual movements
Presentations	Translate data into management stories
Power BI	Assist with dashboard narratives and analysis

AI-generated calculations and conclusions should always be validated before consequential business use.

Module 11: Responsible AI, Privacy & Security

Risk	Training Principle
Hallucinations	Verify important information
Confidential Data	Do not upload information into unapproved systems
Customer Information	Follow privacy and organisational policies
Copyright	Review ownership and source issues
Bias	Evaluate outputs critically
Automation	Keep human approval for consequential decisions
AI Agents	Apply least-privilege access
Compliance	Follow sector-specific regulatory obligations

Who Should Attend?

Audience	Recommended Use Cases
Entrepreneurs	Research, proposals, marketing, operations
Marketers	SEO, campaigns, content, analytics
Sales Teams	Research, proposals, follow-up, CRM
Customer Support	Summaries, response assistance, knowledge
HR Professionals	Recruitment support, L&D, communication
Finance Teams	Excel, reports, analysis
Content Creators	Research, scripting, repurposing
Educators	Learning material and productivity
CXOs	AI strategy and governance
Business Owners	Automation and productivity
Students	AI literacy and future-of-work skills

No previous AI experience is required for foundation-level programmes.

Recommended 2026 Training Formats

Programme	Duration	Best For
AI Awareness Session	60–90 minutes	Leadership and large audiences
Generative AI Power Session	1 Day	Professionals and beginners
2-Day AI Mastery Workshop	2 Days	Business and functional teams
5-Day Applied GenAI Programme	5 Days	Advanced professional cohorts
AI for Marketing	Custom	Marketing teams
AI for Sales	Custom	Revenue teams
AI for CXOs	2–4 hours	Leadership
Agentic AI & n8n Lab	4–8 hours	Advanced teams
Corporate AI Adoption Programme	Multi-session	Enterprise teams

Indicative Individual Training Packages

These prices should be treated as promotional/indicative until confirmed in writing for the relevant batch.

Programme	Duration	Indicative Online Fee	Indicative Kolkata Offline Fee
One-Day Power Session	1 Day	₹3,999	₹7,999
Two-Day Mastery Workshop	2 Days	₹7,999	₹14,999
Full Pro Programme	5 Days	₹14,999	₹29,999
Corporate Programme	Custom	Quote-based	Quote-based

Possible Inclusions

Inclusion	Availability
Live training	Yes
Prompt templates	Programme dependent
Practice exercises	Yes
Reference resources	Programme dependent
Certificate	Where included in programme
Corporate customisation	Available
Post-training support	According to agreed package
Recording	Only where explicitly included and permitted

Do not publish “GST included,” EMI availability, refund guarantees or fixed discount commitments unless these commercial terms are currently valid and documented.

Why Train With Parikshit Khanna?

Evaluation Area	Training Positioning
Business Focus	AI connected to actual professional tasks
Multi-Tool Approach	ChatGPT + Gemini + Claude + Grok rather than dependency on one tool
Prompt Engineering	Structured professional prompting
Marketing Experience	AI combined with digital marketing and SEO workflows
Automation	Agentic AI and workflow-thinking included
Practical Delivery	Live exercises instead of theory-only lectures
Cross-Functional Use Cases	Marketing, Sales, HR, Finance, Operations and Leadership
Responsible AI	Verification, privacy and human oversight
Learning Level	Beginner through advanced
Delivery Options	Kolkata onsite + online + customised enterprise programmes

What Participants Should Be Able to Build

Instead of publishing unverified testimonials, demonstrate outcomes.

By the End of Training	Example Deliverable
Prompt Engineering	Reusable role-specific prompt library
Marketing	30-day AI-supported campaign plan
Sales	Prospect research + outreach workflow
Customer Service	Response and escalation framework
Research	Source-verification workflow
Automation	Prototype multi-step workflow
Leadership	AI opportunity map
Governance	Responsible-AI checklist

This is stronger than promising every participant a predetermined percentage improvement.

Frequently Asked Questions

Question	Answer
What is Generative AI?	AI systems that can generate or transform content such as text, images, audio, video and code based on instructions and supplied context.
Is the programme beginner-friendly?	Yes. Foundation programmes start with AI basics before moving to workflows.
Does the course cover only ChatGPT?	No. Depending on the programme it can cover ChatGPT, Gemini, Claude, Grok, NotebookLM, Perplexity and automation tools.
Can it be customised for my company?	Yes. Corporate programmes can be designed around functions, workflows and approved tools.
Is there offline training in Kolkata?	Onsite Kolkata programmes can be scheduled subject to venue, dates, participant numbers and commercials.
Will AI guarantee a 40% productivity increase?	No responsible programme should guarantee a universal percentage. Productivity depends on role, workflow, adoption, data, process design and implementation.
Can we learn AI automation?	Yes. Advanced programmes can include AI agents, n8n and multi-step workflow concepts.
Can CXOs attend?	Yes. Executive programmes focus on strategy, governance, ROI and adoption rather than basic prompts.
Do we receive certificates?	Certificates should be offered only where included in the confirmed programme.
Can the course cover our own business cases?	Yes, provided confidential or sensitive data is appropriately anonymised and handled according to company policy.

Why Kolkata Businesses Should Start Experimenting Now

Factor	2026 Reality
Models are advancing quickly	GPT-5.6 Sol, Claude Sonnet 5, Gemini 3.6 and Grok 4.5 illustrate the pace of change.
AI is becoming agentic	Modern systems increasingly plan, use tools and execute multi-step workflows.
Kolkata's technology infrastructure is developing	STPI's Salt Lake incubation facility was launched to strengthen IT exports, innovation and entrepreneurship.
Marketing and customer operations show large potential	McKinsey identifies both among the most economically significant GenAI functions.
Training needs are changing	Employees increasingly need workflow, verification and governance skills—not merely prompt lists.

Book Generative AI Training in Kolkata

Contact	Details
Trainer	Parikshit Khanna
Role	Enterprise AI & Generative AI Trainer
Organisation	Digital Training Jet
Current Stated Reach	3,50,000+ professionals & learners
Email	parikshitkhanna@digitaltrainingjet.com
Phone / WhatsApp	+91 9997213177 / +91 8076250669
Website	www.parikshitkhanna.com
Training	Kolkata onsite • Corporate • Online • Institutional • Custom

Final Takeaway

Old Approach	2026 Approach
Learn ChatGPT prompts	Learn AI workflows
Generate content	Design repeatable processes
Use one AI tool	Select tools according to task
Trust AI output	Verify important outputs
Manual repetitive work	Explore controlled automation
AI experimentation	Governed adoption
Chatbot thinking	Agentic thinking

Generative AI is becoming increasingly important across marketing, customer operations, software engineering, research and other knowledge-heavy functions, but meaningful ROI depends on how well organisations redesign workflows and build employee capability. McKinsey estimates that GenAI could create $2.6–$4.4 trillion in annual value globally, while emphasising that realised value depends on adoption and implementation.

For Kolkata professionals and businesses, the opportunity is therefore not to “chase every new AI tool.”

It is to learn:

which AI to use,

where to use it,

how to prompt it,

how to verify it,

how to automate responsibly,

and

how to keep humans accountable for the final outcome.

Parikshit Khanna

Enterprise AI & Generative AI Trainer3,50,000+ Professionals & Learners — Current Stated Cumulative Reach

Email: parikshitkhanna@digitaltrainingjet.comWhatsApp: +91 9997213177 / +91 8076250669