AI MasterClass
Master AI >> Try AI >> Craft YOUR AI Strategy >> #AI-Ready-Manager
Who this Program is for >>
- College students, business professionals, academia, self-employed professionals, and
- Anyone who’s is interested to learn and work on Generative AI applications
Program Curriculum >>
AI MASTERCLASS
Total 8h
M #1 : Demystifying & Embracing AI & GenAI
- • Introduction to AI, ML, GenAI (rule vs learning)
- • History, evolution, milestones, personalities in AI
- • Future workforce and careers in AI
- • Outcome: Clarity on terms, concepts, value creation
M #2 : Ecosystem & Industry Landscape
- • Overview of AI trends across sectors
- • Industry-specific adoption patterns
- • Market dynamics, platforms, vendor landscape
- • Outcome: Understand AI consumption patterns
M #3 : Adoption Risks & Responsible AI
- • Key risks: ethics, bias, security, compliance
- • Case studies on AI failures, responsible practices
- • Policy frameworks from leading tech companies
- • Outcome: Responsible AI principles and safeguards
M #4 : Labs on AI & GenAI (DIY)
- • Hands-on: GenAI in job functions
- • Learn GenAI prompting techniques
- • Outcome: Experience practical AI tools in business
M #5 : AI & GenAI Ideation to Deployment Framework
- • Guided checklist for AI use case development
- • Prioritization techniques (grading framework)
- • Outcome: Identify and prioritize AI use cases
M #6 : Use Case(s) Discovery Workshop
- • Practical ideation aligned with organizational roles
- • Shortlisting top 2–3 use cases
- • Outcome: Apply learning to real scenarios
M #7 : Solution Design & Proposal Generation
- • Blueprinting AI solutions: problem, data, architecture
- • Investment, ROI, risk, management buy-in
- • Outcome: Develop AI proposal with business impact
M #8 : Client/Management Proposal – Presentations
- • Team/individual presentations of use case solutions
- • Structured communication: idea > design > impact
- • Outcome: Present proposals clearly and confidently
DIY Labs - Build AI Assistants for your Profession
Total 7h
M #1 : AI Foundation and Concepts
- • AI basics & evolution, types
- • Human vs artificial intelligence
- • AI in daily life & future possibilities
M #2 : Data Analytics > Machine Learning > Deep Learning
- • Descriptive analytics and power BI
- • Machine learning & data science
- • Deep learning & artificial neural networks
M #3 : AI in Real World Applications
- • AI in real world across industries, corporate functions, IT SDLC
- • AI first vs digital transformation
- • AI in your industry & profession
M #4 : AI Supplier Ecosystem
- • AI supplier ecosystem framework
- • Global & Indian firms in hardware, cloud, LLMs, Apps, services, BPaaS
Certificates and Career Guidance
Total 1h
All Certificates and Career Guidance
- • AI in your profession and opportunities
- • What next career guidance
- • Other MYAIGURU programs
- • Certificates award
- • Feedback & Group photo
- • Program wrap-up
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