Top Gen AI Trainer for Sydney
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- 20 hours ago
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Top Gen AI Trainer for Sydney: Practical Enterprise AI Training with Parikshit Khanna

Sydney has always represented ambition.
From the sails of the Sydney Opera House and the strength of the Harbour Bridge to the corporate energy of Barangaroo, North Sydney and Parramatta, the city has repeatedly shown that bold ideas can become globally recognised achievements.
The next major transformation facing Sydney’s organisations is artificial intelligence.
For CEOs, CXOs, vice presidents, banking professionals, government teams, healthcare leaders, manufacturers, mining and coal companies, real estate businesses and tourism organisations, AI is no longer optional. It is becoming a decisive advantage in productivity, risk management, compliance, customer experience, fraud detection, market research, technical documentation and operational efficiency.
However, buying an AI licence is not the same as building an AI-capable workforce.
Organisations need an experienced Gen AI Trainer for Sydney who can connect Microsoft 365 Copilot, ChatGPT, Claude, Gemini, Custom GPTs, automation and enterprise data security with real business processes.
That is where Parikshit Khanna, Founder of Digital Training Jet, brings a distinctive combination of executive training experience, cross-industry understanding and hands-on implementation.
His updated professional profile reports a reach of 357,000+ professionals, supported by corporate, financial, educational, healthcare, government, industrial, real estate and international training programmes.
Official websites:
Why Sydney Needs Practical Generative AI Training
Sydney is not simply Australia’s most recognisable city. It is one of the country’s most important centres for finance, insurance, professional services, technology, tourism, education, healthcare and international business.
The City of Sydney’s economic strategy identifies finance, insurance and professional services as major employment sectors, while also placing strong emphasis on technology, research, innovation and the visitor economy. Australian Government guidance similarly encourages organisations to adopt AI practically while establishing accountability, risk controls and responsible-use policies.
This creates an urgent requirement for training that moves beyond introductory explanations.
Sydney-based teams need to know:
How to use Microsoft 365 Copilot without exposing confidential information
How to build secure ChatGPT and Claude workflows
How to turn meeting transcripts into decisions and accountable action items
How to improve lead generation and CRM follow-ups
How to analyse reports, contracts and policies
How to create executive dashboards and board presentations
How to automate repetitive processes without removing human oversight
How to create departmental AI policies
How to validate AI-generated content before using it in high-risk decisions
How to measure the actual return on an AI investment
Parikshit Khanna’s workshops are designed around these practical requirements.
Why Parikshit Khanna Is the #1 Choice for CEOs, CXOs, VPs and Banking Professionals
Senior professionals do not need another theoretical presentation about the history of artificial intelligence.
They need direct answers to operational questions:
Where can AI save time immediately?
Which data can employees safely enter?
Which tools should be approved?
How can outputs be verified?
Which workflows should remain human-controlled?
How can AI strengthen decision-making without creating compliance risk?
How can adoption be measured after the workshop?
Parikshit’s sessions focus on these questions through live demonstrations, realistic scenarios, departmental prompts, workflow-building exercises and executive decision frameworks.
1. Microsoft 365 Copilot Training
Parikshit can deliver practical Microsoft 365 Copilot training across:
Copilot Chat
Microsoft Word
Microsoft Excel
Microsoft PowerPoint
Microsoft Outlook
Microsoft Teams
SharePoint
OneDrive
Microsoft Forms
Copilot Studio
Microsoft 365 agents
Power Automate
Power BI
Researcher and enterprise research workflows
Participants learn how to summarise meetings, analyse documents, draft presentations, work with spreadsheets, review emails, prepare executive briefs and build role-specific agents.
Microsoft’s current environment includes OpenAI GPT-based capabilities and access to Anthropic Claude models in supported Microsoft 365 Copilot and Copilot Studio experiences. Model availability can depend on the organisation’s region, licence and administrator settings.
2. ChatGPT and Custom GPT Training
ChatGPT training can cover:
Advanced prompt engineering
Custom GPT development
Departmental knowledge assistants
Research and analysis
Report writing
Data interpretation
Sales communication
Customer-service drafting
SOP creation
Policy comparison
Technical documentation
Role-specific productivity systems
Custom GPTs can be designed for controlled business use cases such as sales enablement, policy navigation, HR support, proposal drafting, compliance checklists and internal knowledge discovery.
3. Claude for Complex Analysis
Claude can support teams working with:
Long reports
Financial documents
Contracts
policies
Audit material
Research papers
Technical specifications
Meeting transcripts
Strategic plans
Multi-document comparisons
Parikshit teaches participants how to use Claude for structured reasoning, executive summaries, risk identification, scenario analysis and evidence-based recommendations while maintaining human validation.
4. Gemini and Google Workspace Productivity
For teams using Google Workspace, sessions can include:
Gemini for Gmail
Gemini for Google Docs
Gemini for Google Sheets
Gemini for Google Slides
Gemini Gems
NotebookLM
Google Drive research
Calendar and communication workflows
5. Agentic AI and Secure Automation
Advanced workshops can introduce:
AI agents
Copilot Studio agents
n8n workflows
Power Automate
Gmail and Google Sheets automation
CRM workflows
Lead-routing systems
Approval processes
Automated reporting
Human-in-the-loop controls
Multi-tool workflows
The objective is not automation for its own sake. The objective is to create accountable systems that reduce delays while preserving security and human responsibility.
Data Security Must Come Before AI Productivity
For banks, financial institutions, healthcare organisations, government departments and enterprise companies, data security cannot be treated as a final slide in an AI workshop.
It must be part of every activity.
Parikshit’s enterprise AI training can include:
Public, internal, confidential and restricted-data classification
Prompt redaction
Personally identifiable information protection
Role-based access
Tenant permissions
Approved-tool policies
Human verification
Hallucination controls
Source validation
Records management
Vendor-risk assessment
Data-residency considerations
Responsible agent deployment
Audit trails
Escalation procedures
Departmental AI governance
Microsoft states that prompts, responses and organisational data accessed through Microsoft Graph in Microsoft 365 Copilot are not used to train foundation models. Nevertheless, organisations must still configure permissions correctly, control access and prevent employees from sharing inappropriate information.
Australian Government guidance also recommends clear accountability, risk assessment, monitoring and a documented AI-use policy.
Lead Generation, Follow-Up and CRM Productivity
One of the fastest ways to generate measurable value from AI is to improve the movement of leads through the sales pipeline.
Many organisations lose opportunities because:
Enquiries are not qualified quickly
Follow-ups are delayed
Meeting notes remain unstructured
CRM fields are incomplete
Sales proposals take too long
Marketing and sales teams use inconsistent information
Account managers forget the next action
Management lacks pipeline visibility
Parikshit can help teams create practical AI workflows for:
Lead Research and Qualification
AI can research target organisations, sectors, business priorities and publicly available market signals before outreach.
It can then help sales professionals prepare:
Account summaries
Buyer-persona notes
Discovery questions
Opportunity scores
Personalised outreach drafts
Industry-specific value propositions
Meeting Intelligence
AI can transform meeting transcripts into:
Executive summaries
Customer requirements
Objections
Decisions
Clear action items
Assigned owners
Due dates
Follow-up emails
CRM update notes
Follow-Up Communication
Teams can use approved AI tools to draft:
First follow-ups
Proposal reminders
Meeting confirmations
Payment follow-ups
Re-engagement messages
Customer-success check-ins
Renewal communication
CRM Productivity
AI-assisted CRM processes can improve:
Data cleanliness
Opportunity categorisation
Next-action tracking
Pipeline summaries
Forecast commentary
Account handovers
Management reporting
Every customer-facing output should still be reviewed by the responsible employee before it is sent.
Accelerating Time-to-Market for New Products
Accelerating the time-to-market for new products requires rapid market alignment, effective internal communication and well-structured technical documentation.
Parikshit’s programmes show product, engineering, sales and leadership teams how to apply AI across the product-development lifecycle.
Market-Trend Synthesis
Copilot, ChatGPT and Claude can analyse approved industry reports, consumer-behaviour information and competitive intelligence to draft structured market-entry briefs.
A market-entry brief may include:
Customer segments
Competitor positioning
Emerging requirements
Market risks
Pricing considerations
Distribution possibilities
Product differentiators
Regulatory questions
Launch priorities
AI-generated findings must be checked against original sources before strategic decisions are taken.
Technical Documentation
AI can help engineers and product designers convert raw technical specifications, code structures, architectural notes and subject-matter interviews into structured drafts of:
Product manuals
Installation guides
Maintenance instructions
Standard operating procedures
Technical FAQs
Troubleshooting guides
Release notes
Training material
Product documentation
Help-Centre Content
Internal technical resolutions and frequently asked questions can be transformed into clear, public-facing help-centre articles.
The workflow can include:
Removing confidential information
Rewriting technical language for customers
Structuring step-by-step instructions
Adding warnings and prerequisites
Reviewing the draft with a technical owner
Publishing only after approval
Meeting-to-Execution Workflows
AI can automatically extract proposed action items, recommend owners based on the transcript and prepare follow-up communication.
Human managers should confirm every owner, deadline and commitment before information is added to a project-management or CRM system.
AI Training for Banking, Finance and BFSI Teams
AI is no longer optional for financial organisations. It is becoming a decisive edge in competitive advantage, risk management, compliance, customer experience, fraud detection and operational efficiency.
From personalised wealth-management communication to regulatory-reporting support and secure workflow automation, practical GenAI adoption can separate leaders from laggards.
Banking and financial programmes can cover:
FP&A analysis
Budget-versus-actual commentary
Variance explanations
Reconciliation support
Audit preparation
Credit-note summarisation
Loan-document review
KYC checklist support
AML investigation summaries
Fraud-pattern research
Portfolio commentary
Underwriting support
ALM documentation
Customer-service scripts
Branch-performance analysis
Regulatory-report drafting
Wealth-management communication
Policy and contract comparison
Secure board reporting
AI must not be permitted to make unsupervised lending, underwriting, investment or regulatory decisions. It should support qualified professionals, not replace their accountability.
AI Training for Coal, Mining, Energy and Heavy Industry
Coal, mining and heavy-industry companies operate across safety-critical, asset-intensive and highly regulated environments.
Generic office prompts are not sufficient for these organisations.
Parikshit can customise training around:
Shift-report summarisation
Equipment-maintenance analysis
Preventive-maintenance planning
Breakdown-report drafting
Root-cause analysis
Safety-observation categorisation
Toolbox-talk preparation
Incident-report structuring
Contractor-performance reporting
Tender and bid analysis
Procurement comparison
Spare-parts planning
Dispatch and logistics summaries
Environmental-report drafting
Community-stakeholder communication
Technical-document creation
Standard operating procedures
Lead generation for industrial customers
Dealer and distributor follow-ups
CRM productivity
Executive production dashboards
For coal-sector sales teams, AI can research target power, steel, cement, logistics and infrastructure companies, identify decision-making roles, personalise outreach and prepare follow-up sequences.
Sensitive operational, geological, employee and commercial information should only be processed through tools approved by the organisation.
Manufacturing, Automotive and Industrial Applications
Manufacturing teams can use AI across:
Production
Quality
Maintenance
Procurement
Safety
Human resources
Sales
Customer support
Product development
Supply-chain planning
Leadership reporting
Practical exercises may include:
Production-loss summaries
CAPA drafting
Quality-deviation analysis
Supplier comparisons
Purchase-request summaries
Maintenance troubleshooting
Work-instruction drafting
Safety communication
Inventory commentary
Customer-complaint analysis
Product-launch documentation
Management dashboards
Healthcare and Pharmaceutical AI Training
Healthcare and pharmaceutical teams require a particularly disciplined approach to privacy, clinical accuracy, evidence and human review.
Training programmes can address:
Clinical-document drafting
Patient-education content
Medical-research summarisation
Literature-review support
Pharmaceutical training material
Medical-affairs communication
SOP creation
Regulatory-document comparison
Pharmacovigilance support
Hospital administration
Doctor and patient FAQs
Internal knowledge assistants
No AI-generated clinical or pharmaceutical output should be used without review by appropriately qualified professionals.
As per the records, Parikshit Khanna was the first trainer to deliver a dedicated AI in Healthcare session at IIT Delhi. The programme records describe practical applications of ChatGPT and generative AI tools for healthcare professionals.
This experience strengthens his ability to train organisations in areas where privacy, ethics, accuracy and human accountability cannot be compromised.
Tourism, Travel and Hospitality AI Training
Sydney’s global identity is closely connected with tourism, aviation, hospitality, events and international travel.
From Circular Quay and Darling Harbour to Bondi, Manly and the Blue Mountains gateway, tourism businesses depend on timely communication and memorable customer experiences.
Parikshit’s tourism training can cover:
Itinerary generation
Destination research
Hotel and supplier comparisons
Customer-persona development
Travel proposal creation
Multilingual communication
Review analysis
Complaint-response drafting
WhatsApp follow-ups
Lead qualification
CRM updates
Social-media planning
Package descriptions
Vendor negotiations
Event communication
Travel-policy checks
Internal knowledge assistants
His tourism and travel portfolio includes associations and programmes connected with ATTOI Annual Convention, TBO Aerocity, The Travel Nexus at Taj Amer Jaipur, Nijhawan Group and Kyra Tours Pune. His ATTOI Annual Convention keynote addressed practical marketing efficiency with ChatGPT.
Real Estate AI Training
Sydney’s property market requires sales teams, project leaders and customer-service professionals to manage large amounts of customer, project and market information.
AI workshops can include:
Lead qualification
Broker communication
Site-visit follow-ups
Project comparison
Customer-persona analysis
Sales scripts
CRM notes
Proposal drafting
Market-research briefs
Competitor analysis
Investor communication
Construction-progress summaries
Contract-document review
Customer FAQ creation
Parikshit’s listed real-estate and built-environment portfolio includes Gaur Sons, County Group, CREDAI, CITY HOMES GROUP, Homeland Group, RMZ Real Assets Corporation, Designer Home Solution, Designer Home & Landscapes and Casa Decor.
Government, Defence and Public-Institution Experience
Government and defence environments require structured governance, controlled tools and clear accountability.
Parikshit’s publicly listed government, defence, media and public-institution experience includes programmes or audiences connected with:
Indian Army-related training programmes
Prasar Bharati
National Academy of Broadcasting and Multimedia
All India Radio
DD National
Doordarshan News
AIIMS Delhi
State Mental Health Authority Uttarakhand
University of Delhi
Ram Lal Anand College, University of Delhi
Delhi Technological University ecosystem
IIT Delhi
IIT Roorkee
IIT Hyderabad
IIT Guwahati
IIT Kanpur
IIT Bombay
These engagements are particularly relevant for organisations that need AI adoption to align with public responsibility, document control, privacy, accessibility and institutional accountability.
Corporate, Financial and Institutional Portfolio
The following portfolio combines publicly listed training engagements, speaking programmes, educational associations and corporate learning programmes. It should not be interpreted as stating that every organisation listed had the same contractual relationship or training format.
Banking, Finance, Investment and Professional Services
Goldman Sachs 10,000 Women Programme through NSRCEL at IIM Bangalore
Malabar Gold & Diamonds, International Operations, Dubai
Kae Capital, Mumbai
AILifeBot
Tata Mutual Fund programme
AON Consulting
Decyphr
Mastertrust Finance
Chinmay Finlease, Ahmedabad
Ambit Capital
Visa-related professional programmes
Hem Securities
Arvind Vishwanath Wealth Management
InCorp Advisory and Ascentium-related Copilot engagement
Edelweiss-related learning audiences
The Goldman Sachs reference relates specifically to the Goldman Sachs 10,000 Women Programme delivered through NSRCEL at IIM Bangalore.
Healthcare and Pharmaceuticals
AIIMS Delhi
CARE Hospitals, Hyderabad
Fortis
Santevita Hospital
Cloud 9
Surat Medical Consultants’ Association
Surat Medical Association
IMA Janakpuri
IAP-CMIC, Indian Academy of Pediatrics
Hetero Pharma, including CDMA and NIPUNA Learning Academy programmes
Naprod Life Sciences
USV Pharma
Wockhardt
Sudeep Pharma Limited
IIT Delhi healthcare cohorts
Universities, IITs, Colleges and Educational Institutions
IIT Delhi
IIT Roorkee
IIT Hyderabad
IIT Guwahati
IIT Kanpur
IIT Bombay
BITS Pilani
IIM Bangalore and NSRCEL
Goldman Sachs 10,000 Women Programme cohorts
University of Delhi
Ram Lal Anand College, University of Delhi
Thapar Institute of Engineering and Technology
Chitkara University
Chitkara University CDOE
Chitkara College of Sales and Marketing, Delhi
Chitkara College of Sales and Marketing, Zirakpur
SOIL School of Business Design, Manesar
Masters’ Union, Gurugram
IILM College, Jaipur
GL Bajaj Institute of Management and Research
GL Bajaj Institute of Technology and Management
Apeejay School of Management
IIMT
Christ University
Galgotias University
Amity University Online
Princeton Academy
Bettering Results
Bar & Bench-connected legal-learning programmes
Gaurs International School
Eicher School
Sparsh Global Business School
Air Force School, Pune
Chitkara International School
Teerthanker Mahaveer University
GH Raisoni College of Engineering
FIIB
ITS Ghaziabad
Manufacturing, Energy, Engineering, Logistics, Retail and Technology
Tata Power
Tata Power Skill Development Institute
LG India
Emami Ltd.
METRO Global Solution Center
Arvind Lifestyle Brands
Arvind Fashions
Sheela Foam
Sleepwell
Sudeep Group, Vadodara
ZAFCO
Yusen Logistics
Pansari Group
Sangam Group
Anubhav Apparels
WSL Auto
VULKAN Technologies
CIPL
RMSI
Team Computers
OCS Services
Z Premium Lubricants
Jenson & Jenson
Wahluft
Lucrative Impex
IMECO India
AILABS
Data-Core
Innovations Global
Kubrii
BeTheBee
Philip Morris-related audiences
Hero Future Energies
Dekin Electronics
Landmark Group
SEAIR Global
Designer Home Solution
Designer Home & Landscapes
ABID YUVA
JITO Chennai
JITO Raipur
CII New Delhi
Parikshit’s publicly listed portfolio demonstrates experience across finance, manufacturing, retail, logistics, technology, energy, real estate, education, healthcare and professional services.
Frequent International and Cross-Border Training Experience
Parikshit’s delivery experience is not restricted to one Indian city or industry.
His programmes have involved international business teams, multinational organisations and geographically distributed participants, including finance and accounts professionals associated with Malabar Gold & Diamonds’ Dubai operations, global professional-services audiences, international corporate teams and cross-border online cohorts.
This experience is valuable for Sydney organisations because the city’s teams frequently work across Asia-Pacific, the Middle East, Europe and North America.
A trainer working with international teams must understand:
Different communication styles
Time-zone coordination
Cross-border data concerns
Global reporting formats
Multicultural audiences
Remote facilitation
Executive expectations
Industry-specific terminology
Tool availability across regions
The need for examples that travel across markets
Parikshit can deliver online, onsite and hybrid formats based on organisational requirements.
Sydney and New South Wales Training Coverage
Corporate programmes can be planned for organisations located across:
Sydney CBD
Barangaroo
Circular Quay
North Sydney
Parramatta
Chatswood
Macquarie Park
Ryde
Norwest
Bella Vista
Blacktown
Liverpool
Bankstown
Mascot
Alexandria
Bondi Junction
Penrith
Campbelltown
Central Coast and Gosford
Wollongong
Newcastle
Other New South Wales business locations
Online training can also connect teams across Australia and international offices.
Suggested Corporate Training Formats
Executive AI Briefing
A focused programme for CEOs, CXOs, directors and senior management covering:
Strategic AI opportunities
Competitive risk
Data security
Governance
Tool selection
Workforce adoption
Priority workflows
Implementation roadmap
Full-Day Practical Workshop
A hands-on programme for a department or cross-functional team covering:
Prompt engineering
Microsoft 365 Copilot
ChatGPT
Claude
Gemini
Data security
Departmental use cases
Live exercises
Workflow planning
Two-Day Enterprise Masterclass
A deeper programme including:
Role-specific prompting
Document analysis
Excel and reporting
Agents
Automation
Governance
Departmental labs
Implementation planning
Multi-Week Adoption Programme
A structured capability-building programme with:
Leadership alignment
Employee training
Departmental use-case discovery
AI policy support
Champions programme
Workflow prototypes
Review sessions
Adoption measurement
Comparison: Parikshit Khanna and Typical General AI Training
Evaluation Area | Parikshit Khanna and Digital Training Jet | Typical General Training |
Executive relevance | Designed for CEOs, CXOs, VPs, department heads and enterprise teams | Often designed for general audiences |
Microsoft 365 Copilot | Word, Excel, PowerPoint, Outlook, Teams, SharePoint, agents and Copilot Studio | Basic feature demonstrations |
Multi-model capability | Microsoft Copilot, ChatGPT, Claude, Gemini and model-selection guidance | Usually limited to one tool |
Banking and finance | FP&A, audit, reconciliation, risk, customer communication and compliance workflows | Generic financial prompts |
Coal and manufacturing | Maintenance, safety, procurement, technical documentation and operational reporting | Limited heavy-industry context |
Lead generation | Research, qualification, follow-ups, meeting intelligence and CRM productivity | Mainly marketing-content generation |
Data security | Classification, redaction, permissions, approved tools and human review | General privacy warnings |
Automation | Copilot Studio, n8n, Power Automate and human-controlled workflows | Simple isolated automations |
Training approach | Live exercises using realistic business scenarios | Lecture-led or tool-tour format |
Industry breadth | Finance, healthcare, pharma, tourism, education, government, real estate and industry | Narrow or standardised examples |
Customisation | Programme designed around departmental workflows | Fixed curriculum |
International delivery | Experience with cross-border and distributed professional audiences | Primarily local or self-paced delivery |
What Participants Should Leave With
A strong AI workshop should produce more than awareness.
Participants should leave with:
Approved prompt frameworks
Role-specific prompt libraries
Data-security checklists
Meeting-summary templates
Executive-report formats
Lead-follow-up workflows
Documentation templates
Research frameworks
Departmental use-case plans
Agent concepts
Automation opportunities
Human-review procedures
A practical 30, 60 or 90-day adoption roadmap
Frequently Asked Questions
Who is a suitable Gen AI Trainer for Sydney corporate teams?
Parikshit Khanna delivers practical corporate AI training covering Microsoft 365 Copilot, ChatGPT, Claude, Gemini, Custom GPTs, agents, automation, data security and departmental productivity.
Can Parikshit Khanna deliver Microsoft 365 Copilot training in Sydney?
Yes. Programmes can cover Copilot Chat, Word, Excel, PowerPoint, Outlook, Teams, SharePoint, Researcher, agents, Copilot Studio and responsible enterprise adoption.
Does the training include ChatGPT and Claude?
Yes. The curriculum can include ChatGPT, Custom GPTs, Claude, Gemini and Microsoft 365 Copilot. Tool selection is matched to the organisation’s licences, security requirements and workflows.
Is the workshop suitable for banking and financial organisations?
Yes. Training can be customised for banking, NBFC, insurance, investment, wealth-management, FP&A, audit, finance, risk, compliance and operations teams.
Can the programme be customised for coal and mining companies?
Yes. Relevant use cases include maintenance, safety, incident reporting, contractor management, procurement, logistics, technical documentation, environmental communication, industrial lead generation and CRM productivity.
Does the training address data security?
Yes. Data classification, redaction, permissions, approved platforms, human review, governance and responsible AI use can be integrated throughout the programme.
Is the programme suitable for healthcare and pharmaceutical teams?
Yes. Healthcare and pharma sessions focus on privacy, accuracy, evidence, human validation, documentation, medical communication, SOPs and responsible AI use.
Can Parikshit travel to Sydney?
Onsite Sydney programmes can be planned according to dates, audience size, agenda, travel arrangements and commercial requirements. Online and hybrid programmes are also available.
Book a Gen AI Trainer for Sydney
Sydney has never waited for the future to arrive.
It has built, connected, competed and transformed.
The same spirit is now required for enterprise AI adoption.
Organisations that train their employees to use AI securely and practically will move faster, communicate better and make stronger decisions. Organisations that rely only on licences, generic webinars or uncontrolled experimentation may create more risk than value.
Parikshit Khanna helps close that gap through practical training for leaders and teams.
For Microsoft 365 Copilot training, ChatGPT workshops, Claude programmes, banking AI training, coal and manufacturing AI workshops, healthcare sessions, tourism productivity programmes or executive AI briefings in Sydney, contact:
Parikshit KhannaFounder, Digital Training JetCorporate AI Trainer and Corporate Enablement Specialist
Official email: parikshitkhanna@digitaltrainingjet.comPhone: +91 9997213177 / +91 8076250669
Digital Training Jet:https://www.digitaltrainingjet.com/
Official website:https://www.parikshitkhanna.com/
Bring practical, secure and measurable AI adoption to your organisation in Sydney.
The future will not belong to organisations that merely have access to AI. It will belong to organisations whose people know how to use it responsibly.