Udemy - GenAI Life Cycle for Business Professionals

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Free Download Udemy - GenAI Life Cycle for Business Professionals
Published: 3/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 49m | Size: 2.38 GB
Master the GenAI lifecycle from problem definition to deployment - practical frameworks for strategic decision-makers

What you'll learn
Explain the fundamental concepts of Generative AI and distinguish it from traditional AI approaches
Develop clear problem statements and Requirements for GenAI projects
Evaluate and select appropriate foundation models based on specific business needs
Apply prompt engineering techniques to optimize GenAI outputs
Implement strategies for data preparation and Retrieval-Augmented Generation (RAG)
Design effective evaluation frameworks to measure GenAI performance
Create deployment plans that address infrastructure, maintenance, and monitoring needs
Establish responsible AI governance frameworks for your organization
Requirements
Basic understanding of GenAI
Description
Generative AI for Business Leaders: The Complete Implementation GuideTransform Your Organization with Generative AIAre 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 OutMost 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 industryPractical frameworks for evaluating and selecting the right foundation modelsStrategies for data preparation and enhancement that dramatically improve resultsManagement approaches for GenAI projects that reduce risk and increase success ratesGovernance frameworks to ensure responsible and ethical AI deploymentWhat you'll learnThis 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 strategicallyProduct Managers responsible for AI-powered products and servicesStrategic Decision-Makers evaluating GenAI opportunities and investmentsProject Managers overseeing GenAI implementation initiativesNon-Technical Professionals who need to understand GenAI capabilities and limitationsTechnology Leaders looking to build responsible AI governance frameworksYour Instructor: Yash ThakkerWith 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 DifferentBusiness-Focused Approach: While we explain technical concepts clearly, everything is presented from a business implementation perspectiveEnd-to-End Coverage: The complete GenAI lifecycle from problem definition to ongoing monitoringPractical Frameworks: Take away tangible tools and methodologies you can apply immediatelyBalanced Perspective: Honest assessment of GenAI capabilities, limitations, and ethical considerationsIndustry Applications: Specific examples and use cases across multiple sectorsBy the End of This CourseYou'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.
Who this course is for
Business leaders and executives seeking to implement GenAI solutions in their organizations
Product managers overseeing AI initiatives
Strategic decision-makers evaluating GenAI opportunities
Tech-savvy professionals wanting to understand the full GenAI lifecycle
Project managers responsible for AI implementation
Non-technical professionals who need to understand GenAI capabilities and limitations
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