Equip your organization with the knowledge and skills to harness the power of artificial intelligence. Our in-person AI/GenAI Training programs are tailored to three distinct audiences—C-suite executives, middle management, and individual contributors—so that every participant gains the insights most relevant to their role.
Equip your organization with the knowledge and skills to harness the power of artificial intelligence. Our in-person AI/GenAI Training programs are tailored to three distinct audiences—C-suite executives, middle management, and individual contributors—so that every participant gains the insights most relevant to their role.
Explore how neural networks, transformer architectures, and reinforcement learning work, and how data pipelines and feature engineering impact model performance
Learn to identify where AI drives the most business value while weighing development, tooling, and talent costs against potential returns
Assess AI initiatives within your industry and distinguish between short-lived hype and scalable, sustainable solutions
Understand key governance principles like fairness, accountability, and transparency, along with evolving regulations from GDPR to AI-specific laws
Develop strategies for effective workforce communication and build cross-functional teams that integrate seamlessly with AI and data science experts
Detect model limitations like bias, data drift, and overfitting, while staying current on breakthroughs and anticipating future AI advancements

By choosing our training, you’re partnering with seasoned executives who combine deep engineering expertise with leadership experience at Amazon, AWS, and Capital One. We’ve built and scaled machine learning startups, and today lead AI product ventures—bridging cutting-edge technology with real-world business strategy to ensure your teams walk away empowered, not overwhelmed.

By choosing our training, you’re partnering with seasoned executives who combine deep engineering expertise with leadership experience at Amazon, AWS, and Capital One. We’ve built and scaled machine learning startups, and today lead AI product ventures—bridging cutting-edge technology with real-world business strategy to ensure your teams walk away empowered, not overwhelmed.
Technology Fundamentals: Gain a clear, jargon-free overview of modern AI systems like large language models and vision pipelines to interpret technical proposals effectively.
Explore real-world AI use cases that drive ROI, efficiency, and innovation.
Business Impact: Understand how competitors use AI and where risks or opportunities lie.
Competitive Landscape & Threats: Learn key principles in AI ethics, compliance, and regulatory frameworks.
Governance Primer: Plan talent, upskilling, and employee engagement as AI reshapes your organization.Let me know if you need a version with different tone or focus!
Change Management & Workforce Strategy:

Objective: Equip managers to lead AI initiatives from concept to execution.
Foundational AI Concepts: Learn model training, data pipelines, and metrics to collaborate with technical teams.
Identify and scope high-value AI projects through workflow mapping and ROI estimation.
Use-Case Development:
Guide AI efforts from pilot to production with alignment, collaboration, and success tracking.
Change Leadership:
Apply bias checks, privacy reviews, and monitoring without slowing innovation.
Risk & Governance:
Communicate AI’s value, reduce automation fears, and build team readiness.
AI Culture:
Format: 1-day workshop with breakouts, case studies, and hands-on pilot planning.

Objective: Train staff across roles to use AI tools responsibly and effectively.
Core AI Literacy: Explain key terms like prompt engineering and model drift to build foundational understanding.
Tool Familiarization: Practice with GenAI tools like ChatGPT to draft, analyze, and prototype real tasks.
Productivity Practices: Integrate AI into workflows for research, automation, and drafting—with human oversight.
Ethics & Governance: Use simple checklists to manage privacy, bias, and data security.
Future Skills: Offer tips and resources to stay updated and grow into advanced AI roles.
Format: Half-day interactive sessions with demos, group work, and take-home guides.

Request a Needs AssessmentComplete a quick questionnaire outlining your team’s AI readiness, existing skill gaps, and top priorities to help us understand where training will drive the most impact.
Schedule a Discovery CallWe’ll assess your input, recommend the ideal format—half‑day, full‑day, or multi‑week—and propose a tailored agenda aligned with your goals, team structure, and time constraints.
Customize & DeployOnce we align on scope and schedule, we’ll finalize all decks, exercises, and assets. On training day, our team arrives fully prepared—so your team can focus entirely on learning.
Measure + IterateAfter the session, we deliver a summary report covering key takeaways, participant feedback, and recommended next steps such as pilot use cases, governance models, or advanced programs.
Request a Needs AssessmentComplete a quick questionnaire outlining your team’s AI readiness, existing skill gaps, and top priorities to help us understand where training will drive the most impact.
Schedule a Discovery CallWe’ll assess your input, recommend the ideal format—half‑day, full‑day, or multi‑week—and propose a tailored agenda aligned with your goals, team structure, and time constraints.
Customize & DeployOnce we align on scope and schedule, we’ll finalize all decks, exercises, and assets. On training day, our team arrives fully prepared—so your team can focus entirely on learning.
Measure + IterateAfter the session, we deliver a summary report covering key takeaways, participant feedback, and recommended next steps such as pilot use cases, governance models, or advanced programs.
From empathetic design to measurable outcomes, our consulting approach blends customer obsession with rapid experimentation and data-backed decisions.
Our Consulting PhilosophyGet clarity on our AI training programs, delivery formats, and what to expect from our consulting services.
We are C‑level and senior‑level executives who began our careers as software engineers, building distributed systems and production‑grade AI services at Amazon, AWS, and Capital One. That foundation allows us to translate complex technical concepts into actionable business strategy.
Having co‑founded and scaled machine learning startups, we intimately understand the end-to-end lifecycle: from ideation and MVP development to product‑market fit and go‑to‑market execution. Currently, we lead AI product ventures—staying on the cutting edge of GenAI advancements.
We’ve architected large‑scale ML pipelines, employed multimodal models, and navigated real‑world constraints around latency, security, and data privacy. This ensures your teams receive practical, battle‑tested insights, not just theoretical overviews.
Every session is designed around your organization’s maturity and specific goals. We conduct a pre‑training needs assessment, customizing slide decks, hands‑on exercises, and real‑world case studies so that C‑suite, management, and individual contributors all gain exactly what they need.
Beyond the workshop, participants receive: