Generative AI for Consultants Course

Lesson 1 • Training, Fine-Tuning, and Inference

Explains the lifecycle from pre-training on large corpora to deployment inference. Connects model behavior to training decisions clients will encounter.

Lesson 2 • Core Model Architectures Explained

Covers transformers, diffusion models, and GANs at a conceptual level without requiring math. Gives consultants enough depth to evaluate vendor claims credibly.

Lesson 3 • What Generative AI Actually Does

Distinguish generative AI from traditional ML and rule-based systems using output-type framing. Establishes the conceptual baseline for every subsequent chapter.

Lesson 1 • Advanced Prompting Techniques

Introduces chain-of-thought, few-shot, and self-consistency prompting for complex reasoning tasks. Directly improves output quality for analytical consulting deliverables.

Lesson 2 • Prompt Libraries and Governance

Covers building, versioning, and sharing prompt libraries across a consulting team. Ensures consistency and quality control at the practice level.

Lesson 3 • Anatomy of an Effective Prompt

Breaks down the role, context, instruction, and format components of a well-structured prompt. Provides a reusable template consultants can adapt across engagements.

Lesson 1 • Accelerating Secondary Research

Applies AI to literature reviews, market scans, and competitive intelligence gathering. Reduces research cycle time while maintaining source traceability.

Lesson 2 • Validating and Stress-Testing AI Outputs

Establishes a critical review framework to catch hallucinations, bias, and logical errors. Builds the quality assurance habits essential for client-facing research.

Lesson 3 • Document Analysis at Scale

Covers retrieval-augmented generation and embedding-based search for large document corpora. Enables consultants to extract insights from client data rooms efficiently.

Lesson 1 • Drafting Reports and Memos

Covers AI-assisted drafting of consulting reports, situation analyses, and client memos. Teaches editing AI drafts to match firm voice and client expectations.

Lesson 2 • Structuring Storylines and Outlines

Uses AI to generate MECE structures, pyramid-principle outlines, and narrative arcs for reports. Connects logical structure to persuasive client communication.

Lesson 3 • Proposal and Scope-of-Work Generation

Uses AI to draft proposals, scope statements, and engagement letters from brief inputs. Accelerates business development while maintaining commercial accuracy.

Lesson 4 • Building Slide Decks Faster

Applies AI to generate slide titles, talking points, and visual layout suggestions. Reduces deck production time while preserving strategic narrative integrity.

Lesson 1 • Sharpening Written Client Communication

Applies AI to rewrite emails, status updates, and executive summaries for clarity and impact. Teaches consultants to use AI as a real-time writing coach.

Lesson 2 • Handling Difficult Conversations with AI Prep

Uses AI to rehearse difficult client conversations, escalations, and feedback delivery scenarios. Builds emotional and strategic readiness for high-stakes interactions.

Lesson 3 • Preparing for Client Meetings

Uses AI to generate briefing documents, anticipated questions, and talking points before meetings. Reduces preparation time and increases consultant readiness.

Lesson 1 • AI Opportunity Scanning Frameworks

Introduces value-chain and process-mapping approaches to surface AI opportunities systematically. Gives consultants a repeatable diagnostic tool for any client context.

Lesson 2 • Evaluating Use-Case Feasibility

Assesses data readiness, technical complexity, and organizational capability for each use case. Prevents over-promising by grounding recommendations in realistic constraints.

Lesson 3 • Presenting AI Strategy to Executives

Structures AI strategy presentations for C-suite audiences using roadmap and portfolio framing. Aligns AI investment narratives with enterprise strategic priorities.

Lesson 1 • Regulatory and Compliance Landscape

Surveys emerging AI regulations, data protection requirements, and sector-specific compliance obligations. Equips consultants to flag compliance gaps without practicing law.

Lesson 2 • Ethical AI in Client Engagements

Applies ethical reasoning to AI recommendations, including fairness audits and stakeholder impact analysis. Builds the consultant's credibility as a trustworthy AI advisor.

Lesson 3 • Managing AI Project Risk

Addresses scope creep, vendor lock-in, model drift, and change management risks in AI projects. Provides mitigation strategies consultants can embed in project governance.

Lesson 4 • AI Governance Frameworks

Covers model cards, AI registers, accountability structures, and policy design for enterprise AI governance. Enables consultants to design governance systems clients can operationalize.

Lesson 1 • Auditing Current Consulting Workflows

Maps existing consulting processes to identify high-impact AI integration points. Creates the baseline needed to measure productivity gains after AI adoption.

Lesson 2 • Designing AI-Augmented Workflows

Builds step-by-step AI-integrated workflows for core consulting tasks like research and deck production. Converts ad hoc AI use into systematic, repeatable practice processes.

Lesson 3 • Upskilling Teams and Managing Change

Covers training design, adoption incentives, and resistance management for AI rollout in consulting teams. Ensures AI tools are used consistently and confidently across the practice.

Lesson 4 • Selecting and Stacking AI Tools

Evaluates AI tools across research, writing, analysis, and project management categories. Guides consultants in building a coherent, non-redundant AI tool stack.