AI+ Data Agent™ - eLearning (exam included)
275,00 EUR
- 15 hours
Unlock Intelligence with AI+ Data Agent™ Transform data into actionable insights and automated analytics with the AI+ Data Agent™ certification. This beginner-friendly program teaches you how to harness intelligent data agents to streamline data workflows, extract meaningful patterns, and drive smarter decision-making in real business contexts. You’ll learn how AI can collect, preprocess, analyze, and automate data tasks—boosting operational efficiency and empowering data-driven strategies across industries.
Key Features
Language
Course and material in English
Level
Beginner-Intermediate level
Access
1 year access to the platform 24/7
8 hours of video lessons & multimedia
16 hours of study time recommendation
eBooks, Audiobooks, Podcasts
Quizzes, Assessments, and Course Resources
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included
Building the Next Generation of Data-Driven Leaders
to uncover insights, automate analytics, and power intelligent decision-making.
Learning Outcomes
At the end of this course, you will be able to:
Foundations of Context Engineering (Beyond Prompting)
Discover how to architect, control, and refine AI context dynamically at runtime, moving beyond simple prompts to structured management of instructions, memory, tools, and system state for dependable AI performance.
Context Optimization with the W-S-C-I Framework
Apply the core principles of Write, Select, Compress, and Isolate to enhance relevance, accuracy, efficiency, and safety in production-grade AI environments.
Designing Memory Architectures for AI
Build effective short-term and long-term memory systems using vector databases, summarization techniques, and feedback mechanisms to support personalization, continuity, and complex reasoning.
Retrieval-Augmented Generation (RAG) & Grounded AI
Develop reliable AI applications through RAG pipelines, embedding models, and vector databases to reduce hallucinations and deliver verifiable, domain-specific responses.
End-to-End Context Pipelines & Orchestration
Construct comprehensive context workflows—from user query to retrieval, compression, response generation, and memory updates—leveraging tools such as LangChain, LangGraph, and LlamaIndex.
Course timeline
Foundations of AI Agents
Lesson 1
- Defining AI Agents
- Core components and architecture
- Categories and types of AI agents
- Hands-on practice: Building no-code AI and machine learning models for data agents
Data Agents in AI Ecosystems
Lesson 2
- Introduction to AI data agents
- Differences between traditional AI and AI data agents
- Key components of AI data agents
- Types of AI data agents
- Overview of trending AI data agent solutions
Data Collection for AI Data Agents
Lesson 3
- Structuring and planning data collection
- Methods and techniques for acquiring data
Data Preparation & Feature Engineering
Lesson 4
- Data cleaning, transformation, and preparation
- Feature engineering for improved model performance
- Practical application: No-code tools for preprocessing and feature engineering
Machine Learning Models for Data Agents
Lesson 5
- Overview of machine learning models used in data agents
- Model selection, training, and optimization
- Hands-on: Developing no-code AI and ML models for data agents
Ethics, Security, and Privacy
Lesson 6
- Ethical considerations in AI data agent development
- Security risks and data privacy best practices
Capstone Project
Lesson 7
- Defining a real-world problem statement
- Practical implementation
- Performance evaluation and optimization
- Final solution build using no-code AI and ML tools
Tools explored
- TensorFlow
- PyTorch
- Scikit-learn
- Keras
- LangChain
- Hugging Face Transformers
- Jupyter Notebooks
- Power BI
- Tableau
- Pandas
- NumPy
- SQL
- Apache Spark
- Airflow
- DataBricks
- RESTful APIs
- Matplotlib
- Data Visualization & Automation Tools
Who Should Enroll in this Program?
Data Specialists – Well-suited for analysts, engineers, and data scientists who want to expand their capabilities with AI-powered automation and intelligent data systems.
Business Decision-Makers – Ideal for strategists seeking to harness data intelligence to drive smarter, evidence-based decisions.
AI Enthusiasts – Designed for individuals eager to combine AI technologies with advanced data management practices.
Technology Innovators – Perfect for professionals exploring automation, predictive modeling, and autonomous data-driven solutions.
Emerging Leaders – A strong fit for those aiming to spearhead AI transformation initiatives and champion data-led innovation within their organizations.
More Details
Prerequisites
- Basic understanding of data processes such as collection, cleaning, and preparation is helpful, but not required.
- No programming background needed—hands-on experience will be gained using no-code tools.
- Foundational knowledge of data science concepts, algorithms, and decision-making frameworks is recommended.
- Ideal for professionals and enthusiasts eager to deepen their expertise in AI agent technologies and data-driven strategies.
Exam Details
- Duration: 90 minutes
- Passing :70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
- Language: English
Licensing and accreditation
This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements.
Equity Policy
AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
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