GenAI Life Cycle for Business Professionals
Master the GenAI lifecycle from problem definition to deployment - practical frameworks for strategic decision-makers

GenAI Life Cycle for Business Professionals udemy course free download
Master the GenAI lifecycle from problem definition to deployment - practical frameworks for strategic decision-makers
Generative AI for Business Leaders: The Complete Implementation Guide
Transform Your Organization with Generative AI
Are you ready to harness the transformative power of Generative AI in your organization? This comprehensive course is specifically designed for business leaders, product managers, and decision-makers who need to understand, implement, and manage GenAI solutions in a business context.
Unlike other technical AI courses, this program focuses on the entire implementation lifecycle from a leadership perspective, giving you the knowledge and frameworks to make strategic decisions, avoid costly pitfalls, and create successful GenAI initiatives.
Why This Course Stands Out
Most GenAI courses focus only on the technical aspects or surface-level concepts. This course bridges the gap between technical understanding and business implementation, teaching you:
How to identify high-value GenAI opportunities in your specific industry
Practical frameworks for evaluating and selecting the right foundation models
Strategies for data preparation and enhancement that dramatically improve results
Management approaches for GenAI projects that reduce risk and increase success rates
Governance frameworks to ensure responsible and ethical AI deployment
What You'll Learn
This comprehensive program takes you through the entire GenAI lifecycle:
Section 1: Introduction to GenAI and the GenAI Lifecycle Understand the fundamental concepts of Generative AI, how it differs from traditional AI, and get a roadmap of the implementation process. Learn about common challenges and explore real-world business applications across industries.
Section 2: Problem Definition and Data Preparation Discover how to identify valuable use cases, define clear requirements, and align stakeholders. Master the critical data preparation phase, including vector databases and Retrieval-Augmented Generation (RAG) techniques that significantly enhance GenAI performance.
Section 3: Model Selection and Development Learn to evaluate and select the right foundation models for your specific needs. Explore prompt engineering techniques that maximize output quality and consistency. Understand when and how to adapt models, and build effective evaluation frameworks.
Section 4: Deployment and Maintenance Navigate the complexities of deploying GenAI solutions with confidence. Understand infrastructure requirements, optimization techniques, and monitoring strategies to ensure ongoing performance and reliability.
Section 5: Responsible AI and Best Practices Build effective governance frameworks for your GenAI initiatives. Address ethical considerations, privacy concerns, and security challenges. Implement appropriate guardrails and stay ahead of emerging trends in the rapidly evolving GenAI landscape.
Who This Course Is For
This course is meticulously tailored for:
Business Leaders and Executives seeking to implement GenAI solutions strategically
Product Managers responsible for AI-powered products and services
Strategic Decision-Makers evaluating GenAI opportunities and investments
Project Managers overseeing GenAI implementation initiatives
Non-Technical Professionals who need to understand GenAI capabilities and limitations
Technology Leaders looking to build responsible AI governance frameworks
Your Instructor: Yash Thakker
With over 10 years of experience in product management, including specialized expertise in AI, platforms, and applications, Yash brings real-world insights to this comprehensive course. As the Head of Product at a leading tech startup in India, he combines theoretical knowledge with practical implementation experience to help you navigate the complexities of GenAI deployment.
What Makes This Course Different
Business-Focused Approach: While we explain technical concepts clearly, everything is presented from a business implementation perspective
End-to-End Coverage: The complete GenAI lifecycle from problem definition to ongoing monitoring
Practical Frameworks: Take away tangible tools and methodologies you can apply immediately
Balanced Perspective: Honest assessment of GenAI capabilities, limitations, and ethical considerations
Industry Applications: Specific examples and use cases across multiple sectors
By the End of This Course
You'll have the knowledge, frameworks, and confidence to lead successful GenAI initiatives in your organization. You'll understand how to identify opportunities, mitigate risks, select appropriate technologies, and implement responsible governance—everything you need to transform your business with the power of Generative AI.
Ready to lead your organization into the GenAI revolution? Enroll today and gain the strategic advantage in this rapidly evolving landscape.