AI Leadership Mastery

Lead the AI revolution with DigiDARA’s 6-Week Executive Program designed for business leaders, executives, and decision-makers. Gain strategic mastery in Generative AI, Agentic AI, governance, ROI frameworks, and future trends while building a board-ready AI roadmap and working agent prototype.

📅 Duration: 6 Weeks + Capstone Project 👨‍💼 Audience: Business Leaders, Executives, Decision-Makers 🎯 Outcome: AI Roadmap + Live Agent Prototype for Immediate Implementation

Weekly Curriculum

1

Week 1: Foundations & Strategy

1. Generative & Agentic AI fundamentals, LLMs, transformers
2. Market trends: multimodal agents, small language models (SLMs), enterprise adoption challenges
3. Strategic alignment: spotting opportunities, managing risks, aligning with organizational goals
Outcome: Leaders set a strategic foundation for AI adoption

2

Week 2: Generative AI Mastery

1. Core technologies & enterprise deployment strategies
2. Prompt engineering & context optimization
3. RAG pipelines: open-source vs proprietary LLMs, fine-tuning, synthetic data
4. Multimodal AI: text, image, video, voice use cases
Outcome: Leaders gain literacy in GenAI tools & adoption roadmaps

3

Week 3: Agentic AI Revolution

1. From automation to intelligence: adaptive, decision-making agents
2. Enterprise frameworks: LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, MCP
3. Multi-agent systems in supply chain, HR, finance, operations
Outcome: Leaders understand frameworks & reliability benchmarks

4

Week 4: Governance & ROI

1. Responsible AI: bias, fairness, compliance (EU AI Act, India AI guidelines, US policy)
2. Security: goal drift detection, prompt injection, data poisoning
3. ROI frameworks for productivity, efficiency, revenue impact
4. Cost optimization: cloud vs on-prem vs edge deployments
Outcome: Leaders integrate governance, compliance & ROI strategies

5

Week 5: Scaling & Change Management

1. Vendor strategy: build vs buy vs partner, avoiding “agent washing”
2. Workforce readiness: reskilling, AI-first culture
3. Agent ecosystems: Adobe Agent Composer, AWS AgentCore, OpenAI Agent Store
4. Industry applications: healthcare, finance, education, manufacturing
Outcome: Leaders learn to scale AI adoption across enterprise functions

6

Week 6: Future of Work & Capstone

1. Human + agent collaboration: future workplace models
2. Capstone Project: Build AI-First Enterprise Roadmap with live agent prototype
3. Capstone options: Customer Experience Agent, Enterprise Function Agent, Governance & Compliance Agent
Outcome: Deliverables include roadmap, ROI model, & live prototype

What Our Students Say

"This course transformed my career! I went from zero coding experience to landing a Data Analyst position in just 4 months."

Sarah Johnson

Data Analyst at TechCorp

"The hands-on projects and Power BI training gave me the confidence to apply for BI Analyst roles. Highly recommend!"

Mike Chen

Business Intelligence Analyst

"Perfect for beginners! The instructors explain complex concepts in simple terms and provide excellent career guidance."

Priya Patel

Junior Data Scientist

Career Outcomes & Certification

Upon completion, you'll receive:

  • 1. Strategic Mastery – Lead AI transformation with GenAI & Agentic AI literacy
  • 2. Technical Literacy – Frameworks, tools, governance, and compliance models
  • 3. Practical ROI – Productivity, efficiency, cost management strategies
  • 4. Board-Ready Output – Custom AI roadmap + agent prototype for enterprise adoption

Capstone Project

Each participant builds a board-ready output including:

  • 1. Business Use Case Prioritization Matrix
  • 2. ROI & Cost Model
  • 3. Live Agent Prototype (LangGraph + RAG + VectorDB + MCP)
  • 4. Enterprise AI Transformation Roadmap

Ready to Start Your AI Leadership Mastery Journey?

Course Investment

Contact us for current pricing and payment plans

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Frequently Asked Questions

Who can join this course?

This course is designed for beginners—no prior coding or statistics knowledge is required. Perfect for college students, recent graduates, and professionals looking to transition into data science.

What tools will I learn?

Python, SQL, Excel, Power BI, TensorFlow/Keras, MongoDB, Cassandra, Matplotlib, Seaborn, Hugging Face (BERT/GPT), and various data science libraries.

Do I need any software or hardware requirements?

A computer with at least 8GB RAM and stable internet connection. We'll guide you through installing all necessary software including Python, Power BI Desktop, and development tools.

What kind of job support do you provide?

We provide resume building guidance, portfolio development, interview preparation, and career counseling. Our alumni work at top companies as Data Analysts, BI Analysts, and Junior Data Scientists.

Is the certification recognized by employers?

Yes! Our certification is industry-recognized and comes with verifiable project portfolios that demonstrate practical skills to potential employers.

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