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Strategy & Business Focus

The AI Consultant (Strategy & Implementation)

Unlike the Engineering course, which focuses on code, this course focuses on Context, Cost, and Compliance. Designed for Solution Architects, Technical Product Managers, and Management Consultants who need to bridge the gap between business goals and AI capabilities.

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12
Weeks
6
Phases
No-Code
Required
100%
Strategy Focus

🧠 Course Philosophy: "The Bridge Builder"

An AI Consultant does not need to know how to write a CUDA kernel. They need to know why a CUDA kernel costs money, when to use it, and how to explain the risk to a CEO. This course is about navigating the "Hype Cycle" to find the "Value Cycle".

Perfect For

Solution Architects, Technical Product Managers, and Management Consultants who need to bridge the gap between business goals and AI capabilities.

Management Consultants

Strategy consultants and independent advisors who need to guide clients on AI adoption, build business cases, and navigate enterprise AI decisions.

Technical Product Managers

PMs who need to evaluate AI features, build defensible business cases, prioritize AI initiatives, and make buy vs. build decisions.

Solution Architects

Architects who design AI solutions, assess technical feasibility, make architectural decisions, and ensure solutions meet business needs while managing risk.

What You'll Learn

By the end of this course, you will be able to:

Diagnose AI Opportunities

Identify business problems that are actually solvable by AI (and reject those that aren't). Use impact/effort matrices and process mapping to prioritize use cases.

Calculate True ROI

Build comprehensive TCO models including token costs, infrastructure, and calculate the true Return on Investment of AI projects with 3-year projections.

Navigate Legal Landscape

Understand EU AI Act, GDPR, copyright law, and liability issues. Create compliance checklists and acceptable use policies for enterprise AI.

Design Implementation Roadmaps

Create buy vs. build decisions, change management plans, and phased implementation roadmaps from PoC to production with realistic timelines.

6-Phase Curriculum

From AI literacy to comprehensive strategy engagement.

01

Phase 1: Foundation & Literacy (Weeks 1-2)

Build executive-level understanding of AI and the vendor landscape.

  • Week 1: Executive AI Bootcamp - Generative vs. Predictive AI, Transformer architecture (conceptual), The API Economy
  • Week 2: Vendor Landscape - OpenAI vs. Anthropic vs. Google vs. Meta, Closed Source vs. Open Source
  • Deliverables: Executive Briefing Note, Vendor Comparison Matrix
02

Phase 2: Strategy & Selection (Weeks 3-4)

Discover use cases and make architectural decisions.

  • Week 3: Use Case Discovery - Impact/Effort Matrix, Process Mapping, Stakeholder Interviewing
  • Week 4: Buy vs. Build Architecture - Off-the-shelf (Copilot) vs. Custom (RAG), Technical Debt, Vendor Lock-in
  • Deliverables: Top 3 Prioritized Use Cases, Architecture Recommendation Document
03

Phase 3: The Business Case (Weeks 5-6)

Build defensible financial models and ROI calculations.

  • Week 5: Tokenomics & Cost Modeling - Input/output pricing, Vector DB costs, GPU hosting costs
  • Week 6: ROI & KPIs - Productivity gains, Deflection rates, Quality metrics
  • Deliverables: Excel TCO Calculator (3-Year Projection), Business Case Pitch Deck
04

Phase 4: Governance & Risk (Weeks 7-8)

Navigate legal compliance and manage enterprise risks.

  • Week 7: Legal & Regulatory - EU AI Act, GDPR, Copyright law, Liability
  • Week 8: Ethics, Bias & Security - Prompt Injection, Data Leakage, Hallucination management, Fairness
  • Deliverables: AI Compliance Checklist, Enterprise Acceptable Use Policy (AUP)
05

Phase 5: People & Process (Weeks 9-10)

Manage change and create implementation roadmaps.

  • Week 9: Change Management - Overcoming employee resistance, Human-in-the-loop workflows
  • Week 10: Implementation Roadmap - PoC → MVP → Pilot → Production
  • Deliverables: Internal Communications Plan, Gantt Chart / Timeline
06

Phase 6: Capstone (Weeks 11-12)

Complete strategy engagement simulation.

  • Task: Full simulation - Receive a "Client Brief" (e.g., Insurance company automating claims)
  • Deliverable: Comprehensive Strategy Deck covering Solution Design, Financials, Risk, and Roadmap
  • Review: Peer review focused on "Defensibility" of the business case

The Consultant's Toolkit

Practical tools and frameworks you'll master.

Financial Modeling

  • • Advanced Excel/Google Sheets
  • • Token estimation models
  • • TCO calculators
  • • 3-year ROI projections

Diagramming & Architecture

  • • Mermaid.js / LucidChart
  • • High-level system architecture
  • • Process mapping
  • • Implementation roadmaps

Strategic Frameworks

  • • Gartner Hype Cycle
  • • RICE Score (Prioritization)
  • • NIST AI Risk Management
  • • Impact/Effort Matrix

Choose Your Learning Path

Flexible options to fit your schedule and learning style.

Self-Paced

£599
  • Lifetime access to all materials
  • Pre-recorded video lectures
  • Community forum access
  • Certificate upon completion
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Most Popular

Cohort-Based

£1,499
  • Everything in Self-Paced
  • Live weekly sessions
  • Direct instructor access
  • Peer collaboration
  • Real-time Q&A
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Premium

£2,999
  • Everything in Cohort-Based
  • 1-on-1 mentorship sessions
  • Career coaching
  • Guaranteed portfolio review
  • Job placement assistance
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Ready to Become an AI Consultant?

Join the next cohort and master AI strategy, ROI, and implementation in 12 weeks.

We'll contact you within 24 hours to discuss your enrollment and answer any questions.