AI+ Developer Practitioner™

Ártól 200 000 Ft + Áfa
Önálló online Azonnal kezdhető
Időtartam 40 óra tananyag, önálló tempóban
Nyelv angol
Előfeltétel Basic math, computer science fundamentals, fundamental programming skills
Terület AI Development

Kinek szól
Mit tartalmaz az ár
Tematika
A vizsgáról

Áttekintés

Miről szól a képzés

A kurzus, a tananyag és a vizsga angol nyelvű. Az alábbi leírás az AI CERTs® eredeti szövege.

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

Előfeltételek

Basic math, computer science fundamentals, fundamental programming skills

Célcsoport

Kinek szól

Software Developers: Enhance your coding expertise by mastering AI algorithms and deep learning techniques.

Data Enthusiasts: Apply AI-driven data analysis, machine learning models, and deep learning to solve complex problems.

Computer Vision & NLP Researchers: Dive into specialized AI fields, including computer vision and natural language processing.

IT Specialists & System Architects: Integrate AI solutions into existing systems and optimize performance.

Students & Fresh Graduates: Build a strong foundation in AI development and prepare for future opportunities in tech.

Az árban

Mit tartalmaz az ár

Önálló tempójú online kurzus, a teljes tananyaggal
A hivatalos AI CERTs® vizsga
Digitális badge a sikeres vizsga után

Tananyag

Tematika

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

12.1 Communicating AI Projects 12.2 Documenting AI Systems 12.3 Ethical Considerations

Optional Module: AI Agents for Developers

1. Understanding AI Agents 2. Case Studies 3. Hands-On Practice with AI Agents

Vizsga

A vizsgáról

50 Kérdés
90 perc Időkeret
70% Ponthatár

Online proctored exam

Kapcsolódó képzések

Ezek is érdekelhetnek

Összes képzés