• 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.

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 Days is 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 a consultant, 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.