AI Consulting Mastery: Generative & Predictive AI in 10 Days

Learn to design, optimize, and deliver AI consulting projects, from data readiness and fine-tuning to governance and ROI

What you'll learn
- Translate technical AI outputs into clear, measurable business outcomes
- Apply consulting frameworks like CRISP-DM, Double Diamond, and KPI trees to structure AI projects.
- Frame compelling AI value propositions across sectors such as healthcare, finance, education, and sustainability.
- Write persuasive and technically accurate RFP (Request for Proposal) responses.
- Understand key AI paradigms — supervised, unsupervised, and reinforcement learning — with real-world examples.
- Explain how transformers, LLMs, embeddings, and data pipelines fit together in modern systems.
- Compare and evaluate build vs. buy decisions for clients seeking AI integration
- Understand generative AI, Large Language Models and their Applications
- Be able to build innovative use cases around predictive and generative AI and Large Language Models
- Apply Supervised Fine-Tuning (SFT) and Direct Preference Optimization (DPO) techniques.
- Understand when to transition to Reinforcement Learning from Human Feedback (RLHF).
- Use implicit and explicit feedback to improve LLMs post-deployment.
- Evaluate cost–benefit trade-offs in model fine-tuning and customization.
- Assess whether a dataset is AI-ready based on structure, quality, and bias.
- Conduct data readiness audits for real organizations.
- Manage data labeling, anonymization, and compliance under frameworks like GDPR.
- Design scalable data pipelines and governance structures.
- Apply principles of responsible AI: fairness, accountability, and transparency.
- Understand the EU AI Act, GDPR, and related global regulatory frameworks.
- Design governance and risk assessment frameworks for enterprise clients.
- Integrate Explainable AI (XAI) methods for human oversight.
- Calculate core AI metrics (accuracy, precision, recall, F1, BLEU, ROUGE).
- Measure user engagement metrics (DAU, WAU, retention) for deployed systems.
- Build a metrics dashboard to visualize AI performance and ROI.
- Evaluate and manage model drift in production.
- Identify barriers to AI adoption and design pilot projects to overcome them.
- Develop stakeholder buy-in and digital literacy across teams.
- Communicate AI insights clearly to executives and clients through storytelling frameworks (SCQA, Pyramid Principle).
- Build long-term trust as a strategic AI advisor.
- Apply AI product thinking to scope, design, and validate MVPs.
- Develop a one-page AI MVP proposal including success metrics and KPIs.
- Create sector-specific AI consulting strategies for industries like healthcare, energy, manufacturing, finance, and education.
- Conduct a full AI consulting simulation: from needs assessment to governance and presentation.
- Deliver a polished consulting proposal deck ready for client or investor review.

Requirements
- No previous experience required

Description
Artificial intelligence is transforming every sector — but only a few professionals truly know how to turn that potential into measurable business value.This course teaches you how to do exactly that.

AI Consulting Mastery: Generative & Predictive AI in 10 Daysis a practical, immersive program that helps you think, speak, and act like an AI consultant. Whether you’re advising clients, leading transformation projects, or designing AI-powered products, you’ll learn the full consulting lifecycle — from discovery to deployment.

Across 12 modules, you’ll explore how to:

Translate complex AI concepts into clear business outcomes.

Build strategic frameworks using CRISP-DM, Double Diamond, and KPI mapping.

Design scalable AI systems, pipelines, and feedback loops.

Evaluate model types (SFT, DPO, RLHF) and know when each is worth the cost.

Navigate ethics, compliance, and governance under the EU AI Act and GDPR.

Communicate AI results with confidence using storytelling and data visualization.

By the end, you’ll have a professional portfolio: a data audit, an MVP proposal, and a complete consulting simulation ready to present to clients or employers.

Whether you’re aconsultant, product manager, executive, or career changer, this course gives you the frameworks, case studies, and technical insight to advise effectively in the age of intelligent transformation.

No coding required — just curiosity, strategic thinking, and the ambition to lead in AI.

Who this course is for:
- Management consultants expanding into AI strategy.
- Innovation consultants or digital transformation leads guiding enterprise AI initiatives.
- Independent consultants or boutique firms adding AI to their service portfolio.
- Business leaders, VPs, and directors aiming to understand AI impact on strategy.
- Project Management Officers or strategy officers responsible for technology alignment.
- C-level executives (CTO, CIO, CDO, CHRO) managing digital transformation.
- Data scientists and ML engineers wanting to bridge technical and business communication.
- AI product managers and MLOps professionals refining consulting and presentation skills.
- Software developers transitioning into AI advisory or product strategy roles.
- Product managers exploring AI-driven innovation or automation.
- Business analysts designing data-driven recommendations.
- UX or design thinkers incorporating AI into workflows.
- Healthcare, finance, education, sustainability, or manufacturing professionals wanting to apply AI responsibly in their domains.
- Policy or legal professionals interested in AI governance and compliance.
- Professionals across business, technology, and innovation roles who want to master applied AI consulting.
- Educators, researchers, or graduate students seeking to apply AI expertise commercially.
- Career changers moving from business, data, or design into AI consulting and strategy.
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