AI for Innovation Management Productivity - LO

AI for Innovation Management Productivity - LO

English / 09:00 - 13:00 (GMT+2) / Aug, 24 2026 - Aug, 24 2026
$572.00
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AI for Innovation Management Productivity - LO
  • AI for Innovation Management Productivity - LO
AI for Innovation Management Productivity - LO

AI for Innovation Management Productivity - LO

$572.00

The AI for Innovation Management Productivity Masterclass is a focused live online program designed for innovation, product, and R&D professionals who are ready to leverage AI to accelerate idea generation, automate research and analysis, and discover hidden trends and patterns. The program equips participants with the practical skills to apply AI across the full innovation workflow — from market research and product development to innovation strategy — enabling faster, more informed, and more creative outcomes.
LanguageEnglish
Course timing09:00 - 13:00 (GMT+2)
DateAug, 24 2026 - Aug, 24 2026
In stock

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Course Details:
Category:
Category:
Upskill
Delivery Format:
Delivery Format:
Live Online
Days:
Days:
1
Domain:
Domain:
Applied Management
Subdomain:
Subdomain:
Artificial Intelligence
Course Overview:

This masterclass takes participants through the core principles, applications, and real-world impact of AI in innovation management — from AI-powered idea generation and trend discovery to market research automation and product development support. Through applied exercises, NLP AI tool practice, and innovation-specific case studies, participants develop the ability to optimize their innovation process and develop groundbreaking solutions with AI as a strategic enabler.
Course Benefits:
  • Uncover hidden patterns and insights for more informed and data-driven innovation decision-making.
  • Accelerate innovation cycles by automating time-consuming research and analysis tasks with AI tools.
  • Develop groundbreaking products and strategies with the support of AI-powered idea generation and market intelligence tools.
  • Access a dedicated Innovation Management NLP AI Tools Catalogue and Application Index for immediate on-the-job use.
  • Earn a Certificate in AI for Innovation Management Productivity upon successful completion.
Key Features:
  • 13 structured lessons including pre-course onboarding, core-course content, and post-course evaluation.
  • 2 applied exercises and 4 knowledge assessments.
  • 60 course slides and 51 recorded video lessons.
  • 6 discussion forums for peer learning and application.
  • Dedicated Innovation Management NLP AI Tools Catalogue and Application Index included.
  • Certificate of Attendance and Certificate in AI for Innovation Management Productivity awarded upon completion.
Learning objectives:
  • Understand the fundamentals of AI and its applications across core innovation management functions.
  • Apply NLP AI tools to automate research and analysis and uncover hidden trends and patterns in large datasets.
  • Identify opportunities to leverage AI for idea generation, market research, and product development.
  • Develop strategies for integrating AI into innovation workflows to accelerate cycles and improve outcomes.
  • Understand ethical considerations and responsible use of AI in innovation management contexts.
Prerequisite:

No prerequisites are required.

The Functional Area Enablement Institute (FAEI) develops research-backed enablement solutions designed to strengthen performance across business functions. Through its functional area labs and frameworks, FAEI helps teams translate challenges into actionable strategies, supported by practical tools and structured guidance. Programs are designed to support capability building across departments with an emphasis on real-world application.

Accreditations:

The CPD certification is issued by maentae acting as the dedicated training division and licensed education provider for The Functional Area Enablement Institute.

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Meet Our Facilitators

Learn from industry experts

Eng Mazen Hisham

Eng Mazen Hisham

Data Science Engineer & AI Researcher
Mazen Marei is a Data Science Engineer and AI Researcher with a background in Mechatronics Engineering and Material Science. His technical foundation enables him to approach complex challenges with strong analytical thinking and systems-oriented problem solving. He previously contributed as a Researcher within the AI Enablement Labs, where he supported the development of AI-driven frameworks and practical applications aligned with business needs. His work has strengthened his expertise in data science, artificial intelligence, and applied machine learning. Mazen combines engineering rigor with emerging AI capabilities, positioning him to design and implement data-driven solutions that translate advanced technologies into real-world impact.
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