AI-MRKTANALYSIS.KZ1 ISBN: 979-8-90059-177-3
AI-Assisted Market Analysis and Strategy
Master data-driven decision-making with our comprehensive AI-Assisted Market Analysis and Strategy course, featuring 57 flashcards and 9 chapters.
What you will be able to do
- Competitive Intelligence: Leveraging AI tools to automate data collection and identify market shifts before competitors react.
- Strategic SWOT Analysis: Applying AI-infused frameworks to evaluate business strengths and weaknesses with objective, data-backed precision.
- Customer Analytics: Utilizing machine learning models to map complex customer journeys and predict future purchasing behaviors accurately.
- KPI Development: Designing performance metrics using generative AI to ensure business goals remain measurable and highly relevant.
Intermediate A tu propio ritmo · 1 año de acceso
17 LiveLabs prácticos
Practice real IT tasks in guided environments.
- Entornos reales
- Calificación automática
- Sin instalación
01 / About
Acerca de este curso
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No se requiere tarjeta de crédito
This AI-Assisted Market Analysis and Strategy training provides a rigorous framework for integrating machine learning into business intelligence. You will move beyond theory, utilizing 57 key terms and 9 comprehensive chapters to master competitive intelligence, customer journey mapping, and SWOT analysis. We emphasize the trade-offs of algorithmic bias and the necessity of human oversight in strategic planning. Through guided labs using Google Gemini and Analytics, you will develop actionable KPIs and scenario models. This course is designed for professionals who need to move past basic automation to achieve true strategic foresight. Expect a challenging curriculum that demands critical thinking over passive learning.
02 / Lecciones y laboratorios
See exactly what you will learn and practice
Plan de estudios
9 Lecciones interactivas · 63 topics01 Preface 7 topics +
- About This Course
- Target Audience and Prerequisites
- What You Will Learn
- Course Overview
- Learning with uCertify
- Standards or Certification Alignment
- Closing
02 Foundations of AI in Market Analysis 9 topics · 2 Laboratorio en vivo +
- Course Overview and Learning Roadmap
- The Evolution of Artificial Intelligence
- Artificial Intelligence in Market Analysis
- AI in the Modern Business Landscape
- Leveraging AI for Market Insights
- Understanding How Artificial Intelligence Works
- Introduction to Generative AI for Business
- Guided Lab: Comparing Claude and Google Gemini
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
03 Responsible AI for Business Decision-Making 7 topics · 3 Laboratorio en vivo +
- Understanding Ethical Artificial Intelligence
- Principles of Responsible AI
- Bias and Fairness in AI-Generated Insights
- Transparency and Trust in AI Systems
- Ethical Challenges in AI-Driven Market Analysis
- Best Practices for Responsible AI Adoption
- Summary
3 Laboratorio en vivo in this lesson — see the labs panel →
04 AI-Powered Competitive Intelligence 7 topics · 3 Laboratorio en vivo +
- Fundamentals of Competitive Intelligence
- Evolution of AI in Competitive Intelligence
- How AI Enhances Competitive Intelligence
- Benefits of AI-Driven Competitive Intelligence
- AI Tools and Techniques for Competitive Analysis
- Guided Lab: Performing Competitive Analysis Using ChatGPT
- Summary
3 Laboratorio en vivo in this lesson — see the labs panel →
05 AI-Driven Customer Insights and Analytics 6 topics · 2 Laboratorio en vivo +
- Understanding AI-Driven Customer Insights
- The AI Revolution in Customer Intelligence
- AI for Customer Journey Mapping
- AI-Powered Customer Analytics
- Guided Lab: AI-Powered Customer Insights Using Google Analytics
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
06 Strategic Planning with Artificial Intelligence 7 topics · 2 Laboratorio en vivo +
- Fundamentals of Strategic Planning
- The Role of Artificial Intelligence in Strategic Planning
- Identifying Business Opportunities with AI
- Developing Data-Informed Business Strategies
- Challenges in AI-Assisted Strategic Planning
- Guided Lab: Developing an AI-Assisted Strategic Plan
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
07 AI-Enabled Strategic Analysis 6 topics · 1 Laboratorio en vivo +
- Understanding SWOT Analysis
- AI-Infused SWOT Analysis
- Conducting AI-Assisted SWOT Analysis
- Guided Lab: AI-Assisted SWOT Analysis
- Guided Lab: AI-Based Scenario Modeling
- Summary
1 Laboratorio en vivo in this lesson — see the labs panel →
08 Goal Setting and Performance Measurement with AI 7 topics · 2 Laboratorio en vivo +
- Fundamentals of Goal Setting
- AI-Enabled Goal Setting
- Understanding Key Performance Indicators
- AI-Assisted KPI Development
- Guided Lab: Developing KPIs Using Google Gemini
- Monitoring Business Performance with AI
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
09 Course Review and Professional Applications 7 topics · 2 Laboratorio en vivo +
- Reviewing AI-Driven Market Analysis
- Integrating Competitive Intelligence and Customer Insights
- Reviewing Strategic Planning Techniques
- Reviewing Goal Setting and KPI Development
- Applying the Complete AI-Driven Market Analysis Workflow
- Course Wrap-Up and Professional Readiness
- Summary
2 Laboratorio en vivo in this lesson — see the labs panel →
Laboratorios prácticos Our edge
17 Laboratorio en vivos- Evaluating Traditional and AI-Assisted Market Analysis Workflows
- Defending AI-Generated Market Findings Before a Go or No-Go
- Auditing a Classification Model for Representation Bias
- Selecting a Human Oversight Model for an AI Recommendation System
- Overriding a High-ROI Recommendation on Responsible AI Grounds
- Analyzing Competitor Themes Using Topic Modeling
- Inferring Competitor Strategic Intent from Converging Weak Signals
- Challenging an Unvalidated Competitor Signal Before Escalation
- Segmenting Customers Using K-Means and DBSCAN
- Justifying Personalization Strategies from AI-Generated Customer Segments
- Evaluating Strategic Decision Boundaries Between Human and AI Roles
- Contesting an AI Recommendation to Discontinue a Legacy Product
- Executing an AI-Assisted SWOT Analysis with Source Validation
- Designing a Hierarchical Performance Measurement Framework
- Replacing Vanity Metrics with a Defensible KPI Framework
- Building an Integrated Market Intelligence Scoring Workflow
- Integrating Competitive and Customer Intelligence into a Strategic Recommendation
Los laboratorios se ejecutan en tu navegador; no hay nada que instalar.
03 / Preguntas frecuentes
Preguntas antes de empezar
Is this course suitable for beginners?+
Yes, it covers foundational AI concepts, but it requires a basic understanding of business strategy to apply the labs effectively.
Does this course include hands-on practice?+
Yes, the curriculum includes guided labs for SWOT analysis, scenario modeling, and KPI development using real-world tools like Google Gemini.
How does this course address AI ethics?+
We dedicate a full chapter to responsible AI, focusing on bias mitigation, transparency, and the ethical challenges of automated decision-making.
What study materials are provided?+
You get access to 9 comprehensive chapters, 57 key terms, and 57 flashcards to reinforce your technical knowledge.
Master AI-Powered Market Analysis
Develop skills in competitive intelligence, customer analytics, SWOT analysis, and KPI development to make data-driven strategic decisions.
- 1 año de acceso completo
- 17 LiveLab incluido
- Certificado de finalización
No se requiere tarjeta de crédito