AI Workshop for Students in Delhi

 practical, hands-on AI workshop for college and university students in Delhi, designed to build real skills for academics, projects, internships, placements and future careers.

Artificial Intelligence is changing how students research, write, present, code, analyse information, build projects and prepare for employment. For students in Delhi, the opportunity is not simply to use AI tools casually, but to learn how to use them responsibly, accurately and productively.

Digital Training Jet, led by Parikshit Khanna, delivers practical AI workshops for students, colleges and universities with a focus on Generative AI, Prompt Engineering, ChatGPT, Claude, Gemini, Microsoft Copilot, research tools, presentation tools and career productivity.

The programme can be customised for engineering, management, commerce, science, arts, law, healthcare, design and multidisciplinary student groups.

No prior coding or AI experience is required for the standard student workshop.

AI Workshop for Students in Delhi: Quick Overview	Details
Lead Trainer	Parikshit Khanna
Organisation	Digital Training Jet
Programme Type	Practical Generative AI workshop for students
Primary Audience	College students, university students, final-year students, placement aspirants and young professionals
Core AI Tools	ChatGPT, Claude, Gemini, Microsoft Copilot
Supporting Tools	NotebookLM / Gemini Notebook, Perplexity, Canva AI, Gamma and approved productivity tools
Core Skills	Prompt Engineering, research, presentations, assignments, projects, career preparation and responsible AI
Delivery	On-campus, online, hybrid or customised institutional programme
Locations	Delhi and Delhi NCR, subject to programme scope
Coding Required?	No, not for the standard business and student productivity programme
Technical Track Available?	Yes, coding and developer-oriented modules can be added separately

Why Students in Delhi Need Practical AI Skills

Students are entering a workplace where AI is becoming part of everyday professional tools.

Employers increasingly expect graduates to know how to research efficiently, communicate clearly, work with digital information, use AI responsibly and adapt quickly to new tools.

A practical AI workshop can help students build those skills before placements, internships or their first full-time role.

Student Challenge	How AI Training Can Help
Research takes too long	Learn source-supported AI research workflows
Assignments feel unstructured	Use AI for outlines, brainstorming and review
Presentations lack clarity	Build stronger narratives and slide structures
Projects are difficult to plan	Use AI for ideation, scoping and documentation
Interview preparation feels generic	Practise role-specific interview questions
Resume lacks impact	Improve clarity, structure and role alignment
Students rely blindly on AI	Learn verification, citation and responsible-use habits
Coding errors slow progress	Use AI for explanation and debugging support
Career options feel unclear	Use AI to explore roles, skills and learning paths

What Students Learn in the Workshop	Practical Outcome
AI Fundamentals	Understand Generative AI, LLMs and modern AI tools
Prompt Engineering	Write better prompts for academic and professional tasks
ChatGPT	Research, writing, analysis and productivity
Claude	Long documents, structured analysis and Projects
Gemini	Research, multimodal AI and Google-oriented productivity
Microsoft Copilot	Word, Excel, PowerPoint and workplace productivity
NotebookLM / Gemini Notebook	Source-grounded study and research
Perplexity	Source-supported web research
Canva AI	Presentations and visual communication
Gamma	Rapid presentation development
Career AI	Resume, interview and LinkedIn support
Responsible AI	Privacy, plagiarism, hallucinations and verification

Module 1: AI Fundamentals Made Simple	What Students Learn
Artificial Intelligence	What AI is and where it is used
Generative AI	How modern AI creates text, images and other outputs
LLMs	Basic understanding of large language models
AI Assistants	Difference between ChatGPT, Claude, Gemini and Copilot
AI Limitations	Hallucinations, bias and incomplete information
Career Impact	How AI is changing different industries
Responsible Use	When AI should and should not be used

Module 2: Prompt Engineering for Students

Students learn that better AI output depends on better instructions.

Instead of asking vague questions, participants practise structured prompting using:

Role + Task + Context + Constraints + Output Format + Verification

Example Student Prompt

Role: Act as a university research assistant.

Task: Help me understand the supplied article.

Context: I am preparing for a classroom discussion.

Constraints: Use only the supplied information. Do not invent facts or citations.

Output: Explain the article in simple language, then provide five discussion questions and three areas I should verify independently.

Verification: Clearly identify anything that is uncertain.

Module 3: ChatGPT for Students	Practical Use Cases
Learning	Explain difficult concepts in simpler language
Assignments	Create outlines and improve structure
Research	Generate research questions
Writing	Improve clarity and grammar
Presentations	Develop slide narratives
Study Planning	Create revision schedules
Interview Practice	Simulate role-specific questions
Career Research	Compare job roles and required skills

Module 4: Claude for Academic & Professional Work	Practical Use Cases
Long Documents	Summarise large reading material
Projects	Organise recurring research context
Comparative Analysis	Compare multiple documents
Writing	Improve structure and argument flow
Research	Build questions for deeper investigation
Documentation	Create structured project reports
Artifacts	Build organised deliverables where available

Module 5: Gemini for Students	Practical Use Cases
Research	Explore topics and questions
Multimodal AI	Work across text and images
Gmail / Docs	Productivity for eligible Google environments
Presentations	Develop ideas and structure
Brainstorming	Generate multiple perspectives
Study Support	Build revision frameworks

Module 6: Gemini Notebook / NotebookLM for Research	Practical Use Cases
PDFs	Ask questions about source documents
Study Guides	Convert approved material into learning packs
Audio Overviews	Listen to source-based discussions
Mind Maps	Visualise relationships between ideas
Quizzes	Generate practice questions
Source Citations	Trace answers back to source material
Research	Compare multiple readings in one notebook

Module 7: AI for Academic Projects	What Students Practise
Idea Generation	Develop project options
Problem Definition	Clarify the problem being solved
Research Questions	Create structured questions
Project Scope	Define objectives and boundaries
Documentation	Draft project reports
Presentations	Create final presentation structure
Review	Identify weaknesses before submission

Example Academic Project Workflow

Problem → Research → Evidence → Idea → Project Plan → Prototype / Report → Human Review → Presentation

Module 8: AI for Coding & Technical Learning	Practical Use Cases
Code Explanation	Understand unfamiliar code
Debugging	Identify possible causes of errors
Logic	Learn how algorithms work
Documentation	Explain code more clearly
Testing	Generate test-case ideas
Vibe Coding	Create simple prototypes from natural-language instructions
Responsible Use	Avoid copying unverified code blindly

Important Coding Principle

Students should understand the code they submit. AI-generated code can contain security flaws, inefficient logic or incorrect assumptions.

AI should support learning, not replace technical understanding.

Module 9: AI for Presentations & Visual Communication	Tools / Use Cases
Canva AI	Presentation visuals
Gamma	Rapid slide structures
ChatGPT	Presentation narrative
Claude	Research and content organisation
Gemini	Idea generation
AI Image Tools	Concept visuals where appropriate
Human Review	Check facts, readability and design quality

Module 10: AI for Resume & Placement Preparation	Practical Use Cases
Resume	Improve structure and role relevance
Cover Letters	Create tailored first drafts
LinkedIn	Improve professional positioning
Interviews	Practise likely questions
Group Discussions	Build arguments around current topics
Job Descriptions	Extract required skills
Career Gaps	Identify areas to improve
Skill Plans	Build a structured learning roadmap

Placement Prompt Example

Role: Act as a graduate-placement coach.

Task: Compare my resume with the supplied job description.

Constraints: Do not invent experience, achievements or skills that are not already present in my resume.

Output: Create a table showing requirement, evidence in my resume, gap and suggested legitimate improvement.

Human Review: Ask me before suggesting any factual change.

Module 11: Responsible & Ethical AI for Students	What Students Must Understand
Plagiarism	AI-generated work should not be submitted dishonestly
Citation	Sources should be acknowledged where required
Hallucinations	AI can create false facts and references
Privacy	Personal and institutional data should be protected
Copyright	Generated content may still raise usage questions
Bias	AI output may contain unfair assumptions
Academic Policy	Students should follow their institution’s AI rules
Human Responsibility	Final submissions remain the student's responsibility

AI Should Help Students Think Better, Not Think Less

A good AI workshop teaches students how to question AI output, compare sources, improve their own reasoning and recognise uncertainty.

The objective is not to make students dependent on AI.

The objective is to help them use AI as a learning partner while developing stronger independent judgement.

Who Should Attend?	Suitable Participants
Engineering Students	Coding, research and technical projects
Computer Science / IT	Development, debugging and AI tools
BBA / MBA	Business analysis, research and presentations
BCom / Finance	Research, Excel and professional communication
Arts / Humanities	Research, writing and synthesis
Science Students	Research, explanation and analysis
Law Students	Source-based research and document organisation
Design Students	Creative ideation and presentation
Final-Year Students	Placement and interview preparation
Postgraduate Students	Research and professional productivity
Faculty / Mentors	Responsible AI guidance and teaching support

Delhi & Delhi NCR Workshop Locations	Programme Availability
Delhi	College and university workshops
South Delhi	Institutional and student programmes
North Delhi	College and university programmes
Central Delhi	Institutions and professional groups
Dwarka	Student and institutional workshops
Rohini	Colleges and learning groups
Noida	Colleges, universities and professional institutes
Greater Noida	Knowledge Park and university ecosystem
Gurugram	Universities and professional institutes
Ghaziabad	Colleges and institutional programmes
Faridabad	Colleges, universities and youth programmes
Online	Available for distributed student groups

Popular Workshop Formats	Best For
60 to 90 Minute AI Awareness Session	Large student audiences
2-Hour Practical AI Workshop	Introductory student groups
3 to 4-Hour Hands-On Workshop	Department batches
Full-Day AI Bootcamp	Intensive skill development
2-Day AI Programme	Practical tools + projects
Placement AI Workshop	Final-year students
Prompt Engineering Lab	Students wanting deeper AI skills
Faculty + Student Programme	Institution-wide AI adoption
Online Workshop	Remote learners
Hybrid Programme	Large institutions

Suggested Full-Day Student AI Workshop	Session
09:30 to 10:15	AI & Generative AI fundamentals
10:15 to 11:00	Prompt Engineering
11:00 to 11:45	ChatGPT, Claude and Gemini
11:45 to 12:30	Gemini Notebook / source-grounded research
12:30 to 1:00	AI for academic projects
1:45 to 2:30	AI for presentations and visual communication
2:30 to 3:15	AI for coding / technical learning
3:15 to 4:00	Resume, interviews and placement preparation
4:00 to 4:30	Responsible AI and academic integrity
4:30 to 5:15	Student project / team challenge and implementation plan

What Students Should Leave With

Practical understanding of Generative AI

Better Prompt Engineering skills

Personal prompt templates

Research workflow

Source-verification checklist

Academic project framework

Presentation workflow

Resume-improvement framework

Interview-practice prompts

Responsible AI checklist

Personal 30-day AI learning plan

About Parikshit Khanna	Professional Profile
Name	Parikshit Khanna
Organisation	Founder, Digital Training Jet
Role	Enterprise AI & Generative AI Trainer
Public Speaking	TEDx Speaker
Training Areas	ChatGPT, Claude, Gemini, Microsoft Copilot, Prompt Engineering and Agentic AI
Academic / Institutional Focus	Student workshops, faculty programmes, management education and professional learning
Training Style	Practical demonstrations, live prompts, exercises and real-world workflows
Audience	Students, faculty, professionals, corporate teams and leadership groups

Selected Academic & Institutional Experience	Programme Context
IIT Delhi	AI-related workshops and professional-learning sessions
IIT Hyderabad	AI / professional-learning engagement
IIT Guwahati	AI / professional-learning engagement
BITS Pilani	Institutional AI-learning exposure
NSRCEL, IIM Bangalore	Business AI / Claude-oriented programme context
GL Bajaj Institute of Management and Research	Visiting Faculty association
Masters' Union	Practitioner faculty / professional-learning association
Chitkara University	Faculty and student learning programmes
SOIL School of Business Design	Management-learning programmes
CHRIST University Delhi NCR	Corporate AI / Prompt Engineering programme
Princeton Academy	AI-learning programmes
Other Institutions	Additional university, professional and institutional sessions

Why Colleges & Universities Choose Practical AI Workshops	Value
Beginner-Friendly	Suitable for non-technical students
Hands-On	Students practise rather than watch
Multi-Tool	Covers several major AI environments
Career-Oriented	Connects AI with placements and internships
Academic Use	Research, projects and presentations
Responsible AI	Plagiarism, citations, privacy and verification
Customisation	Can be tailored by stream
Faculty Integration	Faculty sessions can accompany student programmes
Reusable Resources	Students leave with prompts and frameworks

Student Workshop Pricing	Indicative Approach
Large AI Awareness Session	Custom quotation
2-Hour Student Workshop	Custom quotation
Half-Day Workshop	Custom quotation
Full-Day College AI Workshop	Custom quotation
2-Day Student Bootcamp	Custom quotation
Placement-Focused AI Programme	Custom quotation
Faculty + Student Programme	Custom quotation
Multi-Batch Institution Rollout	Custom proposal

Why Pricing Is Customised

Student count

Duration

College / university location

Number of batches

Degree programmes

Technical depth

Certificates

Custom workbook / exercises

Faculty sessions

Travel and accommodation

Taxes

Follow-up requirements

Important Outcome Note

No responsible training provider should guarantee placement, salary, marks or academic performance after an AI workshop.

The programme can improve practical skills, confidence and preparation, but outcomes depend on the student’s own application, academic background and recruitment opportunities.

Frequently Asked Question	Answer
Who provides AI workshops for students in Delhi?	Parikshit Khanna and Digital Training Jet provide practical AI workshops for colleges, universities and student communities.
Is the workshop suitable for beginners?	Yes. The standard programme can start from fundamentals.
Is coding required?	No. Coding is optional and can be introduced as a separate track.
Does the workshop include ChatGPT?	Yes.
Does it include Claude?	Yes, where appropriate to the programme.
Can Gemini be included?	Yes.
Can Microsoft Copilot be included?	Yes, especially where the institution has the appropriate Microsoft environment.
Does the course include NotebookLM / Gemini Notebook?	Yes. Source-grounded research can be included.
Can students learn Prompt Engineering?	Yes. It is a core module.
Can the workshop help with placements?	It can support resumes, interview practice, career research and professional productivity. It does not guarantee placement.
Can students use AI for assignments?	Students should follow their institution’s academic-integrity policy and use AI transparently and responsibly.
Can the workshop be customised for engineering students?	Yes. Coding, technical research and project workflows can be emphasised.
Can it be customised for BBA or MBA students?	Yes. Business research, presentations, marketing, strategy and professional productivity can be emphasised.
Can the programme be delivered on campus?	Yes, subject to schedule and commercial agreement.
Is online training available?	Yes.
Can certificates be provided?	Yes, where included in the agreed programme scope.
Can faculty attend with students?	Yes. Combined faculty and student programmes can be designed.

Book an AI Workshop for Students in Delhi	Contact Details
Trainer	Parikshit Khanna
Organisation	Digital Training Jet
Programme Areas	Generative AI, ChatGPT, Claude, Gemini, Microsoft Copilot, NotebookLM / Gemini Notebook and Prompt Engineering
Suitable For	Universities, colleges, departments, student communities and skill-development institutions
Delivery	Delhi onsite, Delhi NCR onsite, live online or hybrid
Official Email	parikshitkhanna@digitaltrainingjet.com
Phone / WhatsApp	+91 99972 13177
Alternate Phone	+91 80762 50669
Website	parikshitkhanna.com

What Institutions Should Share for a Proposal

College / university name

Delhi / NCR location

Student count

Degree / programme

Academic year

Preferred workshop date

Duration

Technical or non-technical audience

Number of batches

Existing AI knowledge

Desired learning outcomes

Certificate requirement

Onsite / online / hybrid preference

Final Takeaway

Students do not need to become AI experts overnight.

They do need to understand how to research better, write stronger prompts, verify AI output, protect information, build better projects and prepare for an AI-enabled workplace.

Digital Training Jet’s AI Workshop for Students in Delhi is designed around practical learning rather than AI hype.

Through ChatGPT, Claude, Gemini, Microsoft Copilot, NotebookLM / Gemini Notebook, Prompt Engineering and responsible AI, students can develop skills they can apply in academics, projects, internships and early-career work.

The goal is not to help students avoid thinking. The goal is to help them think better, learn faster and enter the workplace with stronger AI judgement.