Opleidingen

Opleiding: AI+ Developer™ eLearning

Get hands-on with the tools and technologies that power the AI ecosystem.

  • Core AI Foundations: Covers Python, deep learning, data processing, and algorithm design
  • Hands-on Projects: Focus on NLP, computer vision, and reinforcement learning
  • Advanced Modules: Includes time series, model explainability, and cloud deployment
  • Industry-Ready Skills: Prepares learners to design and deploy complex AI systems
Course Overview
  • Course IntroductionPreview
Module 1: Foundations of Artificial Intelligence
  • 1.1 Introduction to AI Preview
  • 1.2 Types of Artificial Intelligence Preview
  • 1.3 Branches of Artificial Intelligence
  • 1.4 Applications and Business Use Cases
Module 2: Mathematical Concepts for AI
  • 2.1 Linear Algebra Preview
  • 2.2 Calculus Preview
  • 2.3 Probability and Statistics Preview
  • 2.4 Discrete Mathematics
Module 3: Python for Developer
  • 3.1 Python Fundamentals Preview
  • 3.2 Python Libraries
Module 4: Mastering Machine Learning
  • 4.1 Introduction to Machine Learning
  • 4.2 Supervised Machine Learning Algorithms
  • 4.3 Unsupervised Machine Learning Algorithms
  • 4.4 Model Evaluation and Selection
Module 5: Deep Learning
  • 5.1 Neural Networks
  • 5.2 Improving Model Performance
  • 5.3 Hands-on: Evaluating and Optimizing AI Models
Module 6: Computer Vision
  • 6.1 Image Processing Basics
  • 6.2 Object Detection
  • 6.3 Image Segmentation
  • 6.4 Generative Adversarial Networks (GANs)
Module 7: Natural Language Processing
  • 7.1 Text Preprocessing and Representation
  • 7.2 Text Classification
  • 7.3 Named Entity Recognition (NER)
  • 7.4 Question Answering (QA)
Module 8: Reinforcement Learning
  • 8.1 Introduction to Reinforcement Learning
  • 8.2 Q-Learning and Deep Q-Networks (DQNs)
  • 8.3 Policy Gradient Methods
Module 9: Cloud Computing in AI Development
  • 9.1 Cloud Computing for AI
  • 9.2 Cloud-Based Machine Learning Services
Module 10: Large Language Models
  • 10.1 Understanding LLMs
  • 10.2 Text Generation and Translation
  • 10.3 Question Answering and Knowledge Extraction
Module 11: Cutting-Edge AI Research
  • 11.1 Neuro-Symbolic AI
  • 11.2 Explainable AI (XAI)
  • 11.3 Federated Learning
  • 11.4 Meta-Learning and Few-Shot Learning
Module 12: AI Communication and Documentation
  1. 12.1 Communicating AI Projects
  2. 12.2 Documenting AI Systems
  3. 12.3 Ethical Considerations Optional Module: AI Agents for Developers
    • 1. Understanding AI Agents
    • 2. Case Studies
    • 3. Hands-On Practice with AI Agents
    Tools you will explore
    • GitHub Copilot
    • Lobe
    • H2O.ai
    • Snorkel

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 badge
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€530
Vrij van BTW
Aangeboden door
OC ICT
Onderwerp
Niveau
Duur
5 dagen
Looptijd
40 dagen
Taal
en
Type product
training
Lesvorm
E-Learning
Aantal deelnemers
Min: 1
Max: 999
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