• AI Certifications

AI+ Data Practitioner™

This globally recognised AI+ Data Practitioner™ Certification by AI CERTs® equips professionals to work with data for artificial intelligence. Delivered by Synergogy, the Authorised Training Partner (ATP) of AI Certs, this AI Certs certification builds expertise in AI data science, machine learning, and data-driven decision-making, enabling you to begin your journey into AI modelling, analytics, and intelligent insights.

AI+ Data Practitioner™
Enroll Now - $396
AI Certification Course - Synergogy

AI+ Data Practitioner™

Synergogy, the Authorised Training Partner (ATP) of AI Certs, brings you this globally recognised AI+ Data Practitioner™ Certification by AI CERTs®. The programme equips professionals with the essential knowledge to work with data for artificial intelligence — enabling them to begin their journey into AI data science, machine learning, analytics, and data-driven decision-making.

  • Format: Self paced online course.
  • Level: Dive into Generative AI, Machine Learning, and Predictive Analytics
  • Certificate: 𝗔𝗜+ 𝗗𝗮𝘁𝗮 𝗣𝗿𝗮𝗰𝘁𝗶𝘁𝗶𝗼𝗻𝗲𝗿™ by AI Certs®.
  • Partner: Delivered by Synergogy as an ATP for AI Certs.
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Enroll Now - $396
AI Certs - AI Course Free Offer - Synergogy
AI Certs - AI Course Free Offer Bundle - Synergogy

AI+ Data Practitioner™

This course includes

  • Online Self-Paced Learning
  • Online Proctored Exam with 1 Free Retake
  • Digital Badge
  • High-Quality Videos, E-books, and Podcasts
  • Access for Tablet & Phone
  • Capstone Projects
  • Case Studies
  • Quizzes & Assessments
  • AI Mentor for Personalized Guidance

Why This Certification Matters

Artificial intelligence runs on data — yet most teams lack structured training in AI data science. This certification bridges that gap by helping you:

  • Meet Rising Demand — Organisations increasingly need professionals who turn complex datasets into insights while maintaining strong data quality, privacy, and governance.
  • Reduce Risk in Data-Driven AI — Manage data responsibly and minimise AI-related errors caused by improper data handling and misapplied machine learning models.
  • Build Effective AI Data Strategies — Contribute to AI-driven data strategies that improve performance, support data-driven decision-making, and meet regulatory and ethical requirements.
  • Accelerate Career Growth — As AI-enabled data solutions become central to business, this AI Certs certification gives you a competitive advantage in high-impact data and AI roles.
Who Should Enroll?
  • Data Analysts and Data Scientists — Strengthen capabilities by applying AI data science to predictive modelling and data-driven decision-making.
  • Business Intelligence Professionals — Use AI and machine learning to extract insights and uncover opportunities in large-scale datasets.
  • IT Specialists and System Integrators — Deploy AI-powered solutions to improve data management and system performance.
  • Data Engineers — Build and maintain scalable, AI-enabled data pipelines supporting advanced analytics.
  • Students and Early-Career Professionals — Develop in-demand skills with this AI Certs certification.
Tools Covered
  • Google Colab
  • MLflow
  • Alteryx
  • KNIME
Prerequisites
  • Basic knowledge of computer science and statistics (beneficial but not mandatory).
  • Keen interest in data analysis.
  • Willingness to learn programming languages such as Python and R.
 
Exam Details
  • Foundations of Data Science – 5%
  • Foundations of Statistics – 5%
  • Data Sources and Types – 6%
  • Programming Skills for Data Science – 10%
  • Data Wrangling and Preprocessing – 10%
  • Exploratory Data Analysis – 12%
  • Generative AI Tools for Deriving Insights – 6%
  • Machine Learning – 10%
  • Advance Machine Learning – 10%
  • Data-Driven Decision-Making – 10%
  • Data Storytelling – 6%
  • Capstone Project – Employee Attrition Prediction – 10%
 
Course Flyer
Enroll Now - $396

What You'll Learn

1: Foundations of Data Science

  • Core concepts of data science and analytics

  • Data science lifecycle and real-world applications

  • Role of AI in modern data-driven organizations

  • Introduction to data-driven problem solving

2: Statistics and Probability for Data Analysis

  • Descriptive and inferential statistics

  • Probability theory and distributions

  • Hypothesis testing and confidence intervals

  • Statistical thinking for reliable AI models

3: Data Sources, Types, and Data Management

  • Structured, semi-structured, and unstructured data

  • Data sources: databases, APIs, and web data

  • Relational vs NoSQL databases

  • SQL fundamentals and data retrieval techniques

4: Programming for Data Science (Python & R)

  • Python and R fundamentals for data science

  • Data manipulation using Pandas, NumPy, and dplyr

  • Data visualization with Matplotlib, Seaborn, and ggplot2

  • Writing efficient, scalable data analysis code

5: Data Wrangling and Exploratory Data Analysis (EDA)

  • Data cleaning, transformation, and preprocessing

  • Handling missing values and outliers

  • Exploratory data analysis techniques

  • Visualization-driven insight discovery

6: Generative AI and Machine Learning Fundamentals

  • Generative AI tools for data insights

  • Autoencoders, GANs, and VAEs

  • Supervised and unsupervised machine learning refresher

  • Feature engineering and model evaluation basics

7: Advanced Machine Learning and Data-Driven Decision Making

  • Advanced ML algorithms and ensemble techniques

  • Dimensionality reduction and model optimization

  • Applying ML to business and operational decisions

  • Tools for dashboards, analytics, and reporting

8: Data Storytelling and Capstone Project

  • Transforming insights into compelling data stories

  • Data visualization best practices for stakeholders

  • Capstone project: real-world data problem (e.g., employee attrition prediction)

  • End-to-end application of AI-powered data science

Course Flyer
Enroll Now - $396

Bring our
AI+ Foundation™ Course in-house

Interested in getting your team started with the AI Foundation Course, fully customised for your team?

Request In-House Training
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FAQs - AI+ Data Practitioner™

  • What AI+ Data Practitioner™ and what key data skills does it cover?

    The 𝗔𝗜+ 𝗗𝗮𝘁𝗮 𝗣𝗿𝗮𝗰𝘁𝗶𝘁𝗶𝗼𝗻𝗲𝗿™  is a globally recognized program that equips professionals with essential skills in data science and artificial intelligence. It covers foundations of data science, statistics, data management, programming (Python & R), machine learning, generative AI tools, and data-driven analytics techniques.

  • How does AI certification in data improve practical AI and analytics job readiness?

    AI certification in data strengthens practical readiness by teaching hands-on skills like data wrangling, exploratory analysis, ML model building, and advanced analytics that align with real industry workflows. This helps learners confidently apply AI techniques to data problems in the workplace.

  • What foundational concepts are essential for an AI data certification?

    Foundational concepts include data science lifecycle, probability and statistics, data sourcing, data preprocessing, and introduction to machine learning. These fundamentals ensure learners understand both theory and practical application of data in AI systems.

  • Do you need programming skills to start an AI certification in data?

    While prior programming experience can help, many AI certification programs begin with essentials like Python and R for data manipulation, visualization, and model implementation, making them accessible for beginners.

  • How does AI certification support data-driven decision-making skills?

    AI certification strengthens data-driven decision-making skills by teaching advanced ML algorithms, model evaluation, and analytics techniques that help professionals translate complex datasets into actionable business insights.

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