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CompTIA DataAl
About the Certification
This is an advanced professional certification from CompTIA focused on integrating Data and Artificial Intelligence (AI) within enterprise environments.
It is designed to prepare candidates to understand the end-to-end lifecycle of Data & AI solutions from a practical and business-driven perspective starting with identifying business problems, managing and preparing data, selecting appropriate AI models, and ending with deployment, monitoring, and responsible operation. The certification covers core, integrated skills such as data foundations, understanding data types and quality, Machine Learning & AI fundamentals, selecting the right solution based on the use case, risk and impact assessment, applying Responsible AI, collaborating with cross-functional teams (Data / AI / Business), and ensuring AI solutions deliver real business value while adhering to governance and ethical standards.
It is ideal for professionals working at the intersection of Data + AI + Business, whose role goes beyond model building to planning, guiding, and evaluating AI solutions within organizations.
Main Curriculum
The curriculum is divided into six main sections
- Data and AI Fundamentals
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- Data concepts and types (Structured / Unstructured)
- Data quality and its impact on AI models
- Differences between Analytics, AI, and Machine Learning
- Understanding the Data & AI solution lifecycle
- Data Preparation and Lifecycle Management
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- Data collection, cleaning, and preparation
- Managing data across solution stages
- Understanding bias and its impact on outcomes
- Ethical data handling
- Business Problem Formulation
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- Translating business problems into executable use cases
- Defining expected business value
- Selecting the appropriate analytical or AI-driven approach
- Feasibility and risk assessment
- Responsible AI and Governance
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- Responsible AI principles
- Risk mitigation (Bias / Privacy / Ethics)
- Regulatory compliance and policies
- AI solution documentation and oversight
- AI and Machine Learning Concepts
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- Overview of ML models and types
- When to use AI—and when not to use it
- Understanding training and evaluation (non-deep technical level)
- Interpreting model results
- Deployment, Monitoring, and Value Measurement
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- AI solution deployment concepts
- Performance monitoring and drift over time
- Measuring business value and ROI
- Continuous solution improvement
Exam Details
- Exam code: DA0-001
- Number of questions: 90
- Duration: 90 minutes
- Question types: Multiple choice and scenario-based practical questions
- Passing score: 675 on a scale of 100–900
- Exam fee: Approximately USD 239–255 (may vary by country and may include taxes)
- Certification Validity This certification is valid for 3 years.
Do I need certifications before it?
There are no official prerequisites. However, CompTIA recommends having a basic understanding of data concepts, general familiarity with AI and Machine Learning, experience in technical or business environments, and the ability to analyze problems and make informed decisions.
Which certifications are recommended after this one?
Not mandatory. However, if you are seeking a strong career path in data analysis especially in data collection, cleaning, analysis, and turning data into actionable insights the CompTIA Data+ certification is the strongest next step.
What are the main career uses of the CompTIA DataAI certification?
- AI-Driven Data Analytics & Insights to leverage AI techniques for deeper insights and better decision-making.
- Data Preparation, Quality & Feature Engineering to improve data quality and build features that support analytics and AI models.
- Applied Machine Learning for Business to apply ML concepts in business scenarios without heavy programming depth.
- Data Governance, Ethics & Responsible AI to manage data responsibly and ensure transparency, privacy, and bias reduction.
- AI-Enhanced Reporting & Visualization to build intelligent dashboards and reports using analytics and AI tools.
- Data Analyst (AI-Enabled) / AI Business Analyst / Data & AI Consultant roles.
Professional Mastery in Data Analysis and Decision-Making :
The CompTIA Data+ (DY0-001) certification is a foundational credential in Data Analytics, validating your ability to work with data across its lifecycle from collection and cleansing, to analysis and interpretation, and finally delivering insights that support business decision-making. It demonstrates understanding of data quality, governance, and descriptive and exploratory analytics, and strengthens opportunities for roles such as Data Analyst, Business Data Analyst, and Reporting Analyst, especially in data-driven organizations.
Who is this certification suitable for?
- Data Analysts or Business Analysts working within AI initiatives.
- AI/ML practitioners who need a holistic, business-oriented perspective.
- Product Owners or Technical Leads in Data & AI projects.
- Professionals aiming to align AI solutions with real business objectives.
- Individuals building a career in Data & AI strategy.