Corporate Generative AI Training in
New York
A practical, hands-on introduction to the tools, methods and habits that make generative AI genuinely useful at work.
What your team will learn:
What generative AI can and cannot do
How to write effective prompts
How to improve, verify and refine AI-generated results
How to automate or accelerate repetitive tasks
How to protect confidential information
How to recognize hallucinations, bias and unreliable output
RESEARCH IN NUMBERS
What studies show
about AI at work.
Saved per week
Employees trained in AI reported saving 11 hours a week, compared with 5 hours for those without training.
LSE & Protiviti · 2025 ↗of AI-trained employees use AI at work
Compared with just 57% of employees without AI training.
LSE & Protiviti · 2025 ↗Higher quality scores
In a study of 758 BCG consultants, AI-assisted work scored over 40% higher on tasks suited to AI.
Harvard / BCG study · 2023 ↗AI training for your teams
See what your team could build with AI.
Practical training built around your business. Turn your documents, data and everyday tasks into useful AI workflows.
An AI assistant that handles calls.
Answer incoming calls, book appointments and make confirmation or customer follow-up calls. Pass complex requests to your team.
Turn Instagram DMs into opportunities.
An AI assistant answers questions about your campaigns, current promotions and services, then guides people toward the next step.
A prospecting agent for LinkedIn.
Find relevant prospects, research their companies and prepare personalized outreach and follow-ups for your team to review.
Build your product launch video.
Create a 30-second motion design video, from script and storyboard to animated visuals, voice-over and channel-specific versions.
Turn customer feedback into your next product concept.
Analyse reviews and customer feedback to uncover unmet needs, then develop clear concepts for your product team to evaluate.
Built with your team, using your own business scenarios. Scope and integrations adapted to your training.
Ask about team training ↗
The learning Journey Experience Program
Get to know the group, understand each participant’s background, goals, and current use of AI so the session can be tailored to real needs.
Example: one participant may want to save time at work, while another wants to use AI for content creation, research, or personal projects.
Build a clear foundation of how generative AI works, what today’s tools are capable of, and where human judgment is still essential.
Example: understand why ChatGPT can produce impressive answers but can also make mistakes, invent information, or give different results depending on how you ask.
Discover 10 practical business scenarios and explore 10+ different AI tools to understand what’s possible and spark new ideas for your own work, projects, or business.
Examples: automate a repetitive task, build an AI assistant, create a presentation in 5 minutes, generate content, or streamline everyday workflows.
Learn how to write better prompts and turn your ideas into high-quality content across different formats. You’ll practice creating text, images, videos, and audio using generative AI tools.
Examples: write a marketing post, generate a branded image, create a short video concept, or produce a voiceover in minutes.
Build practical AI workflows for everyday tasks instead of relying on isolated prompts. Learn to break a task into steps, provide the right context, review each output and decide which parts should stay under human control.
Examples: turn meeting notes into a checked action plan and draft follow-up email, organize research into a presentation, or improve a repetitive administrative task. You will focus on useful results, accuracy and time saved, not just generating more content.
Distinguish rule-based chatbots from AI-powered conversations, then explore agentic systems that plan steps, use tools and adjust their actions toward a goal. An AI assistant can use agentic capabilities, but a conversational interface alone does not make it an agent.
Example: an agent researches public information, compares options against your criteria and prepares a recommendation. You define its permissions, check the result and require approval before it sends messages, spends money or changes important information.
Learn where automation can help and where testing, privacy safeguards and human oversight remain essential.
Wrap up the Masterclass with key takeaways, final questions, and time to connect with other participants.
Examples: share what you want to implement next, exchange ideas, discuss use cases, and meet people with similar interests in AI.
HALF-DAY
9 am - 1 pm-
Essential generative AI concepts explained clearly
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Live demonstrations using real workplace examples
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Hands-on exercises participants can apply immediately
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Practical guidance on effective and responsible AI use
FULL DAY
9 am - 5 pm-
Advanced prompting techniques for more reliable results
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Advanced prompting techniques for more reliable results
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Role-specific exercises based on participants’ daily work
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Personalized feedback and facilitated group discussions
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Creation of reusable prompts and practical AI workflows
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Action plan to help them apply the new skills after the training
A smaller first step
Team training on hold?
Send your team to our AI masterclass.
Waiting for leadership approval or working with a limited budget? Start with one or a few employees in a public Cavern AI masterclass, without committing to a full-team program.
- In person in NYC
- Live online
- We provide an invoice. Employees can submit it for reimbursement, subject to their company’s approval and expense policy.
