Certified Specialist Programme in AI Project Lifecycle Management

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The Certified Specialist Programme in AI Project Lifecycle Management is a vital professional certificate comprising ten comprehensive units. As global industry demand for AI expertise surges, this course addresses the critical need for structured project governance.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

It equips learners with essential skills to navigate the complexities of AI development, from initial planning to deployment and maintenance. By mastering these lifecycle stages, professionals gain the strategic insight required to drive innovation and mitigate risks effectively. This certification significantly enhances career prospects, enabling participants to lead high-impact AI initiatives. It bridges the gap between technical execution and business value, ensuring graduates are well-prepared for leadership roles in the rapidly evolving artificial intelligence landscape.

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์–ด๋””์„œ๋“  ํ•™์Šต

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LinkedIn ํ”„๋กœํ•„์— ์ถ”๊ฐ€

์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • AI Project Lifecycle Management Fundamentals
  • AI Project Planning & Scoping (including risk assessment & mitigation)
  • Data Management for AI Projects (data governance, quality, and security)
  • AI Model Development & Deployment (MLOps)
  • AI Project Monitoring & Evaluation (performance measurement & reporting)
  • Ethical Considerations in AI Project Management
  • AI Project Communication & Stakeholder Management
  • AI Project Team Leadership & Collaboration

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role in AI Project Lifecycle Management (UK) Description AI Project Manager Leads and manages all aspects of AI projects, ensuring on-time and within-budget delivery.

Focuses on AI project lifecycle , risk management and stakeholder communication.

AI Data Scientist Develops and implements machine learning models, ensuring data quality and model accuracy.

Key skills include AI algorithms , data mining, and model deployment.

AI Software Engineer Builds and maintains the software infrastructure for AI projects, including deployment and scaling.

Strong skills in AI software development and cloud platforms are essential.

AI DevOps Engineer Manages the entire AI project lifecycle , including infrastructure, deployment, and monitoring.

Expertise in automation, CI/CD and cloud infrastructure is required.

AI Business Analyst Identifies business opportunities for AI solutions and translates business needs into technical requirements.

Deep understanding of business processes and AI applications is needed.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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ํš๋“ํ•  ๊ธฐ์ˆ 

Project Management Risk Assessment Stakeholder Engagement Quality Assurance

์ฝ”์Šค ์ˆ˜๊ฐ•๋ฃŒ

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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFIED SPECIALIST PROGRAMME IN AI PROJECT LIFECYCLE MANAGEMENT
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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