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Understand and Apply AI Fundamentals with AWS

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Understand and Apply AI Fundamentals with AWS

Dieser Kurs ist Teil von Spezialisierung „Apply AI Foundations with Python and AWS“

Dozent: EDUCBA

Bei enthalten

Mehr erfahren

6 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

1 Woche zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

6 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

1 Woche zu vervollständigen

unter 10 Stunden pro Woche

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

Explain core AI, machine learning, and deep learning concepts and how AI systems work.
Analyze AI applications such as NLP, computer vision, generative AI, and ethical AI practices.
Evaluate and apply AWS AI services to design real-world, scalable AI solutions.

Kompetenzen, die Sie erwerben

Kategorie: Artificial Intelligence
Kategorie: Unsupervised Learning
Kategorie: Responsible AI
Kategorie: Artificial Intelligence and Machine Learning (AI/ML)
Kategorie: LLM Application
Kategorie: Deep Learning
Kategorie: Natural Language Processing
Kategorie: Machine Learning Algorithms
Kategorie: Machine Learning Methods
Kategorie: Data Ethics
Kategorie: Convolutional Neural Networks
Kategorie: Machine Learning
Kategorie: AI literacy
Kategorie: Supervised Learning
Kategorie: Model Training
Kategorie: Artificial Neural Networks

Werkzeuge, die Sie lernen werden

Kategorie: Amazon Web Services
Kategorie: Model Deployment
Kategorie: AWS SageMaker
Kategorie: Amazon Bedrock

Wichtige Details

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Kürzlich aktualisiert!

Januar 2026

Bewertungen

24 Aufgaben

Unterrichtet in Englisch

Erfahren Sie, wie Mitarbeiter führender Unternehmen gefragte Kompetenzen erwerben.

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Dieser Kurs ist Teil der Spezialisierung Spezialisierung „Apply AI Foundations with Python and AWS“

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In diesem Kurs gibt es 6 Module

By the end of this course, learners will be able to explain core artificial intelligence concepts, analyze machine learning approaches, apply deep learning principles, and evaluate AI solutions using AWS services.

This comprehensive course is designed to build strong foundations in AI fundamentals and core concepts, progressing from classical AI techniques and machine learning to deep learning, generative models, and real-world AI applications. Learners will gain a clear understanding of how AI systems reason, learn, and make decisions, supported by practical insights into NLP, computer vision, reinforcement learning, and ethical AI practices. What makes this course unique is its balanced blend of theory, practice, and cloud-based implementation. It not only explains how AI works, but also how AI is applied at scale using AWS AI services such as SageMaker, Lex, Polly, Rekognition, and foundation models. Structured modules, lesson-wise objectives, practice quizzes, and graded assessments ensure progressive mastery and exam readiness. This course is ideal for beginners, aspiring AI practitioners, and professionals preparing for the AWS Certified AI Practitioner exam, enabling learners to confidently apply AI concepts to real-world business and industry use cases.

Moduldetails

This module introduces the fundamental concepts of Artificial Intelligence, including its history, importance, ethical considerations, and the logical and statistical foundations that support intelligent systems.

Das ist alles enthalten

7 Videos4 Aufgaben

7 VideosInsgesamt 42 Minuten

Definition and Brief History of AI Part 18 Minuten
Definition and Brief History of AI Part 28 Minuten
Importance and Applications of AI3 Minuten
AI Ethics and Societal Impacts10 Minuten
Introduction2 Minuten
Logic and Reasoning7 Minuten
Probability and Statistics5 Minuten

4 AufgabenInsgesamt 60 Minuten

Understanding Artificial Intelligence10 Minuten
AI in Society10 Minuten
Core Reasoning Foundations10 Minuten
Graded-Foundations of Artificial Intelligence30 Minuten

This module explores classical AI techniques such as search algorithms, knowledge representation, and foundational machine learning approaches, focusing on how machines solve problems and identify patterns.

Das ist alles enthalten

6 Videos4 Aufgaben

6 VideosInsgesamt 33 Minuten

Search Algorithms3 Minuten
Knowledge Representation and Reasoning5 Minuten
Introduction to Machine Learning AI4 Minuten
Supervised Learning6 Minuten
Unsupervised Learning6 Minuten
Clustering9 Minuten

4 AufgabenInsgesamt 60 Minuten

Search and Knowledge Representation10 Minuten
Machine Learning Overview10 Minuten
Unsupervised Learning Fundamentals10 Minuten
Graded-Classical AI and Problem-Solving30 Minuten

This module provides an in-depth understanding of core machine learning techniques, including similarity measures, dimensionality reduction, pattern discovery, and reinforcement learning methods.

Das ist alles enthalten

8 Videos4 Aufgaben

8 VideosInsgesamt 70 Minuten

Distance Measures5 Minuten
Dimensionality Reductio Part 16 Minuten
Dimensionality Reductio Part 28 Minuten
Association Rule Learning12 Minuten
Reinforcement Learning11 Minuten
Types of Reinforcement Learning Part 113 Minuten
Types of Reinforcement Learning Part 2.16 Minuten
Types of Reinforcement Learning Part 2.29 Minuten

4 AufgabenInsgesamt 60 Minuten

Data Similarity and Reduction10 Minuten
Pattern Discovery10 Minuten
Reinforcement Learning Types10 Minuten
Graded-Machine Learning Techniques30 Minuten

This module introduces deep learning concepts, neural network architectures, and advanced AI paradigms such as generative models and transfer learning used in modern AI applications.

Das ist alles enthalten

11 Videos4 Aufgaben

11 VideosInsgesamt 84 Minuten

Neural Networks Basics Part 16 Minuten
Neural Networks Basics Part 29 Minuten
Deep Learning Introduction8 Minuten
Convolutional Neural Networks (CNNs) Part 16 Minuten
Convolutional Neural Networks (CNNs) Part 28 Minuten
Recurrent Neural Networks (RNN) Part 16 Minuten
Recurrent Neural Networks (RNN) Part 27 Minuten
Recurrent Neural Networks (RNN) Part 37 Minuten
Generative Models Part 17 Minuten
Generative Models Part 212 Minuten
Transfer Learning and Fine Tuning9 Minuten

4 AufgabenInsgesamt 60 Minuten

Neural Network Foundations10 Minuten
Specialized Neural Architectures10 Minuten
Modern Learning Paradigms10 Minuten
Graded-Deep Learning and Advanced AI30 Minuten

This module focuses on practical AI applications across industries and introduces AWS AI services, enabling learners to understand how AI solutions are deployed at scale.

Das ist alles enthalten

8 Videos4 Aufgaben

8 VideosInsgesamt 12 Minuten

Introduction to AWS Certified AI Practitioner0 Minuten
Understanding AI and ML3 Minuten
Natural Language Processing (NLP)1 Minute
Computer Vison (CV)2 Minuten
Applications of AI in Various Industries2 Minuten
Supervised vs Unsupervised Machine Learning1 Minute
Algorithms of Supervised and Unsupervised Machine Learning2 Minuten
Reinforcement Learning (RL)1 Minute

4 AufgabenInsgesamt 60 Minuten

AI in Practice10 Minuten
AI Domains and Industry Use10 Minuten
Machine Learning Comparisons10 Minuten
Graded-AI Applications and AWS AI Services30 Minuten

This module covers the end-to-end AI lifecycle, including model building, deployment, ethical best practices, AWS implementation, prompt engineering, and exam readiness.