Executive Program · 6 Modules · Self-paced

Artificial Intelligence
in Oil & Gas.

A decision-centric executive program covering the full upstream AI landscape — from industrial context to leadership accountability. Built for professionals who govern AI initiatives, not build models.

Enroll — Early Bird $950 View Modules ↓
6
Modules
3
Named Artifacts
4–6h
Per Module
∞
Lifetime Access
Program Modules

Reality → Foundations → Applications → Technology → Strategy → Leadership

Module 1

AI, Energy & the New Industrial Reality

What does the AI infrastructure race mean for your assets, decisions, and accountability?

MJ Visual M1 — AI infrastructure, data centers, energy grid, geopolitics · 1100×200px
Core Topics
AI as a general-purpose industrial technology · Compute → power demand → grid constraints · US vs China AI race · Hyperscalers and data centers · Implications for O&G economics and competitiveness
Module Artifact
Executive AI Context Brief
One-page map of what AI means for upstream leaders in 2026–2030.
Module 2

AI Fundamentals: Data, Models & Systems

What must a leader understand to evaluate proposals and avoid failure modes?

MJ Visual M2 — AI stack, data flows, ML models, digital infrastructure · 1100×200px
Core Topics
ML / DL / GenAI / LLMs / Agentic AI taxonomy · Data as decision substrate · Digital twins as decision infrastructure · Why initiatives fail: canonical patterns
Module Artifact
AI Technology-to-Use Case Matrix
Technology → upstream use case → maturity → typical failure mode.
Module 3 · Core Module

AI Across the Upstream Value Chain

Where does AI create material value across the upstream lifecycle — and where does it not?

MJ Visual M3 — Arctic upstream field, full value chain left to right · 1100×200px
Framework — Upstream Value Chain diagram with AI application zones · SVG · 1100×120px
Core Topics
Subsurface & reservoir intelligence · Drilling & well construction · Production optimization · Reliability & APM · Facilities & processing · HSSE · Decommissioning · Where AI does NOT create value
Module Artifact
AI Decision Hotspot Map
Upstream value chain with marked decision points where AI changes outcomes with highest stakes.
Module 4

Digital Twins & Intelligent Systems

How do digital twins and agentic systems work as decision infrastructure in upstream?

MJ Visual M4 — Digital twin concept, physical asset + digital layer · 1100×200px
Core Topics
DT architecture: 3 maturity levels · Physics + ML hybrid models · Agentic systems in upstream · Intelligent decision loops: HITL, semi-closed, closed · Failure patterns
Module Artifact
DT & Intelligent Systems Canvas
One-page reference architecture from data sources to intelligent decision loops.
Module 5

AI Strategy & New Business Logic

How does AI reshape strategic options, portfolio logic, and business models of an upstream company?

MJ Visual M5 — Executive strategy, portfolio decisions, energy boardroom · 1100×200px
Core Topics
AI-driven competitive positioning · New business models · Portfolio construction and sequencing · Economics of AI: ROI vs optionality · KPIs and value tracking · Investment governance
Module Artifact
AI Initiative Scorecard
One-page template to evaluate any AI proposal before capital is committed. 20 minutes per assessment.
Module 6

Leadership, Operating Model & Accountability

Who is accountable for decisions and risk when AI becomes part of core upstream operations?

MJ Visual M6 — Leadership, human+AI operating model, safety-critical decisions · 1100×200px
Core Topics
AI-enabled operating models · Decision rights allocation · Agentic AI governance · Leadership failure modes · From pilot to scale · HSSE accountability in AI operations
Module Artifact
Decision Rights Template
Governance design tool: who is accountable for what when AI informs operational decisions.
Who This Is For

Built for professionals who make or influence AI decisions — not build models.

Primary Audience
Upstream managers and senior specialists (8–20+ years)
Asset, production, subsurface, drilling, and facilities leaders
Digital transformation and analytics leaders in energy
Strategy, planning, and investment professionals in O&G
Consultants and advisors working with upstream clients
Not For
Entry-level professionals without domain experience
Data scientists seeking algorithmic depth
Tool-centric or coding-heavy AI training
Generic industry-agnostic AI courses
What Participants Say

From upstream professionals who completed the program.

Testimonial — after first cohort
Testimonial — after first cohort
Testimonial — after first cohort
Enrollment

Early Bird pricing — limited seats.

Early Bird · Limited Seats
$950Early Bird
Standard price: $1,250
6 full modules with executive slide decks
AI Decision Hotspot Map, Initiative Scorecard, Decision Rights Template
Certificate of completion from Energy AI Center
Lifetime access — self-paced, revisit any module
Corporate licensing available · For Teams →
FAQ
Is this self-paced?
Yes. No live sessions. Study at your own pace, revisit any module anytime.
What level of AI knowledge is required?
None. The program builds from first principles. Domain expertise in O&G is the prerequisite.
Is a certificate provided?
Yes. Certificate of completion from Energy AI Center upon finishing all 6 modules.
Can my company purchase multiple seats?
Yes. Corporate licensing for 20–25 seats at $15,000–20,000. Details →