What you'll learn
- Be an AI Strategist: a framework for your business to drive strategy and investment decisions.
- Be an AI Decision maker: a framework for your business to drive commercial decision-making.
- Be an AI Leader: a framework for leading AI initiatives with measurable commercial impact.
- Your path to AI Leadership, driving change with measurable commercial impact.
- The AI scaling laws and why they matter for your business.
- 5 core techniques for scaling AI performance with cost/benefit - from RAG to Reasoning.
- Agents and Agentic AI - risks, benefits, opportunities.
- AI Architecture from a commercial perspective - cross functional decision-making.
- Gen AI as a competitive differentiator for your business - ideation and traps.
- The case for R&D: committing to a Roadmap with uncertain outcomes.
- Position yourself for change: opportunities & risks of Agents and workforce impact.
Requirements
- There are no prerequisites for this briefing, other than a desire to deliver business impact with AI! This briefing assumes no prior technical knowledge, but is well suited for non-technical and technical audiences.
Description
This workshop equips business leaders to champion AI initiatives, then deliver and deploy AI solutions, driving change across the organization with measurable commercial impact.
This is quite different from a traditional “course”!
It’s actually not a course at all: it’s a briefing. A comprehensive, action-oriented briefing on Gen AI, designed by leaders, for leaders.
We will cover:
AI expertise from a commercial perspective
Real-world use cases; with success stories and failures
Actionable toolkits to apply to your business
From Stealth Startup to Global Enterprise
We will not cover:
Technical detail; but sufficient to drive decision-making - so we do cover RAG, fine-tuning and Agents from a business point-of-view
Using different AI tools yourself; this briefing is about transforming your organization to use AI tools!
If you are an executive, an entrepreneur, a leader, or if you are on a path to become one, then this briefing will position you for commercial success with Generative AI.
What you will learn
AI strategy, AI decision-making and AI leadership
This workshop builds expertise through 3 modules:
Module 1: Become an AI Strategist
Your path to AI Leadership, driving change with measurable commercial impact
The big picture: AI, Gen AI, LLMs, Agents, Reasoning
The Models: Frontier, Open-Source, Cost / Performance / Security implications
Commercial details: GPT wrappers vs Proprietary Models, expert prompting, hallucinations, alignment risks.
Be an AI Strategist: a framework for your business to drive strategy and investment decisions
Module 2: Become an AI Decision maker
The AI scaling laws and why they matter for your business
5 core techniques for scaling AI performance with cost/benefit - from RAG to Reasoning
Agents and Agentic AI - risks, benefits, opportunities
AI Architecture from a commercial perspective - cross functional decision-making
Be an AI Decision maker: a framework for your business to drive commercial decision-making
Module 3: Become an AI leader
Gen AI as a competitive differentiator for your business - ideation and traps
Skills, roles, org chart, governance and common talent challenges
The case for R&D: committing to a Roadmap with uncertain outcomes
Position yourself for change: opportunities & risks of Agents and workforce impact
Be an AI Leader: a framework for leading AI initiatives with measurable commercial impact
Join now!
Who this course is for:
- The workshop is suitable for all sizes and shapes of company, from early-stage startup to Fortune 500 enterprise and everything in between, in all industries and countries.
- If you are a manager, a leader, an executive or a founder, or if you are interested in becoming one, and you want to achieve commercial results with AI – then this is designed for you. I’m excited to welcome you to the briefing, and I can’t wait to hear about the results you achieve afterwards.
Instructors
Ed Donner is a technology leader and repeat founder of AI startups. He’s the co-founder and CTO of Nebula, the platform to source, understand, engage and manage talent, using Generative AI and other forms of machine learning. Nebula’s long-term goal is to help people discover their potential and pursue their reason for being.
Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company, acquired in 2021. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across 3 continents, after a 15-year technology career on Wall Street. Ed holds a patent for a Deep Learning matching engine issued in 2023, and an MA in Physics from Oxford.
Join 3.8M+ learners who study with Ligency.
With a 4.6 instructor rating, >1.1 M reviews, and 126 courses in 12 languages, we help engineers, leaders, and teams master the skills that power today’s AI revolution - then ship real results.
We start where the real world starts: with large language models and the products they power. You’ll learn the foundations of AI and Generative AI (gen AI), then ship production-grade systems - chatbots, copilots, automations, and AI agents. We go deep on LLM engineering: retrieval (RAG), evaluation, observability, safety, and the patterns teams use to run agentic systems at scale.
Our stack is practical and current. You’ll prototype fast with Python, LangChain, and LangGraph; explore models from OpenAI, Gemini, and Claude (including Claude Code); fine-tune and serve with Hugging Face and Ollama; and take it to production on AWS - from Bedrock to event-driven services. Need automation? We wire it together with n8n, clean interfaces, and CI/CD. Along the way you’ll master prompt engineering that holds up under load.
Where this leads: roles that ship. AI Engineer and LLM Engineer for those who love building; platform and MLOps paths for those drawn to reliability at scale; product and leadership tracks for the people moving Agentic AI from slide decks to business outcomes. The through-line is the same: learn fast, build faster, measure everything, iterate.
Start with our best selling course:
AI Coder: Complete Claude Code & Coding Agents Course - build complete products at speed with AI coding agents like Claude Code, Cursor, Copilot and Codex, no coding background required.
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents - a hands-on path from your first prompt to production patterns: 20+ models, RAG, QLoRA fine-tuning, and agents with LangChain/LangGraph.
AI Engineer Agentic Track: The Complete Agent & MCP Course - design, orchestrate, and deploy robust AI agents across OpenAI Agents SDK, CrewAI, LangGraph and MCP.
AI Engineer Production Track: Deploy LLMs & Agents at Scale - scaling patterns for pipelines, monitoring, and enterprise rollout on AWS with Bedrock, Google Cloud Platform, Azure and MLOps.
AI Builder: Create Agents, Voice Agents & Automations in n8n - wire up low-code AI agents, voice agents and business automations in n8n with ElevenLabs, RAG and MCP.
Practical Guide to AI Agents & Agentic AI with Claude Cowork - build six working no-code AI agents on your real tools (Gmail, Slack, Notion, Calendar) with Claude Cowork and MCP.
AI Leader: Generative AI & Agentic AI for Leaders & Founders - a concise playbook for strategy, governance, and ROI with Generative AI and agents.
If your goal is to level up quickly and ship something real, join us. Learn the concepts, touch the tools, build the thing - then take it to users. That’s the Ligency way.
