Opleiding: AI+ Data Agent Specialty™ eLearning
Formerly known as AI+ Data Agent™
Empower businesses with AI + Data Agent Specialty™ to unlock insights, automate analytics, and drive smarter decisions.
- Empowering the Future with AI+ Data Agent Specialty™: Shaping Smarter Decision-Makers
- Beginner-Friendly Certification: Perfect entry point to understand data-driven AI concepts and automation tools
- Comprehensive Foundation: Explores AI data handling, analytics, and real-world business insights
- Open to All: Designed for learners with curiosity about using data and AI for smarter outcomes
Data Professionals: Ideal for data analysts, engineers, and scientists looking to enhance their expertise with AI-driven automation.
Business Strategists: Perfect for professionals aiming to leverage data intelligence for informed and strategic decision-making.
AI Enthusiasts: Designed for learners passionate about integrating AI with data management and intelligent systems.
Tech Innovators: Suited for individuals exploring automation, predictive analytics, and autonomous data solutions.
Aspiring Leaders: Ideal for professionals seeking to lead AI transformation initiatives and drive data-driven innovation within their organizations.
- Comprehensive Skill DevelopmentMaster AI-driven data analysis, automation, and intelligent agent design for real-world business applications.
- Industry RecognitionEarn a globally recognized certification that validates your expertise in AI-powered data management and analytics.
- Hands-On LearningEngage in practical projects that simulate real data environments, enhancing problem-solving and analytical decision-making skills.
- Career AdvancementOpen doors to roles in data engineering, AI analytics, and intelligent automation across multiple industries.
- Future-Ready ExpertiseStay ahead in the evolving AI landscape with cutting-edge knowledge of data agents and autonomous systems.
- 1.1 What is an AI Agent?
- 1.2 Components of AI Agents
- 1.3 Types of AI Agents
- 1.4 Hands on: No-Code AI and Machine Learning Models for Data Agents
- 2.1 AI Data Agents
- 2.2 AI vs. AI Data Agent
- 2.3 Components of AI Data Agents
- 2.4 Types of AI Data Agents
- 2.5 Existing AI Data Agents in Trend
- 3.1 Steps in AI Data Collection Structure & Plan
- 3.2 Methods of Data Collection
- 4.1 Data Cleaning and Transformation
- 4.2 Feature Engineering for AI Models
- 4.3 No-Code AI Data Agent for Preprocessing & Feature Engineering
- 5.1 Introduction to Machine Learning Models for Data Agents
- 5.2 Model Selection and Training
- 5.3 Hands on: No-Code AI and Machine Learning Models for Data Agents
- 6.1 Ethical Considerations in AI Data Agents
- 6.2 Security and Privacy Concerns
- 7.1 Problem Statement
- 7.2 Practical Implementation
- 7.3 Evaluation and Optimization
- 7.4 No-Code AI and Machine Learning Models for Data Agents
- Python
- 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
Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam
Access to all materials and exams is provided for 365 days after delivery.
Instructor-led OR Self-paced course + Official exam + Digital badgeDe OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.
Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.