Build Autonomous Data Skills with AI+ Data Agent Specialty™

AI+ Data Agent Specialty™ is designed for professionals who want to understand, build, and apply AI data agents that support data collection, preprocessing, machine learning, and real-time decision-making.

Interested in group or instructor-led training?

This course is available for instructor-led delivery. Contact [email protected] to discuss group pricing and options.

AI+ Data Agent Specialty™ introduces learners to the role of AI data agents in modern AI systems, including how agents perceive information, reason through data, and take action. The course covers AI agent components, agent types, data acquisition methods, preprocessing, feature engineering, machine learning models, and no-code platforms for building practical AI-powered workflows.

Learners explore how AI data agents can gather, process, analyze, and act on data in dynamic environments. The course also addresses ethical, privacy, security, and compliance considerations, then applies learning through capstone work involving real-time weather data and no-code employee salary insights using tools such as n8n, Google Sheets, and GPT-powered AI.  


What You Will Learn

  • Explain AI agent components and architectures
  • Describe how AI data agents support AI systems
  • Plan structured AI data collection workflows
  • Use real-time, batch, and API-based data methods
  • Prepare data through cleaning and feature engineering
  • Select machine learning models for data agents
  • Apply ethical, privacy, and compliance principles
  • Build no-code workflows for AI data agent use cases

Who Should Take This Course

  • AI enthusiasts exploring autonomous data agents
  • Data professionals expanding AI agent skills
  • Data professionals expanding AI agent skills
  • No-code learners building AI-powered workflows
  • Tech innovators designing real-time data systems
  • Analysts improving data collection and processing
  • Operations teams automating data-driven decisions
  • Career-focused learners entering applied AI roles

Build AI Data Agents That Turn Information Into Action

The Problem: Data Workflows Are Becoming Too Complex for Manual Processes

Organizations rely on growing volumes of real-time and historical data, but manual collection, cleaning, analysis, and decision-making can slow teams down. Data agents need reliable ways to process information quickly, reduce errors, and support timely action.

The Gap: Many Teams Lack Practical AI Agent Development Skills

Professionals may understand data concepts but still need a practical framework for designing AI data agents, preparing data, selecting machine learning models, using no-code tools, and applying privacy, security, and ethical safeguards.

The Outcome: AI+ Data Agent Specialty™ Builds Applied Agent Confidence

This course helps learners connect AI agent concepts with practical data workflows. Learners explore data acquisition, preprocessing, model selection, no-code development, responsible AI practices, and capstone activities that demonstrate how AI data agents can support real-time decisions.

  • Build practical knowledge of AI data agent systems
  • Build practical knowledge of AI data agent systems
  • Prepare higher-quality data for machine learning models
  • Use no-code tools to create AI-powered workflows
  • Apply responsible AI practices to data agent design

Ready to Build Practical AI Data Agent Skills?

Enroll in AI+ Data Agent Specialty™ to learn how to design, build, and apply AI data agents that collect, process, analyze, and act on data using no-code tools, machine learning models, and responsible AI practices.

Start Learning with Blue Summit

Train with an AI CERTs® Authorized Training Partner and build the skills needed for AI-enabled future of work.

  • Blue Summit provides AI CERTs-approved curriculum and instruction, ensuring learners gain trusted, globally aligned skills.

  • Our courses designed to be accessible, engaging, and immediately applicable.

  • We help professionals build confidence using AI tools to enhance decision-making, productivity, and strategic insight.