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Information & Emerging Technologies Learning & Development

Course Features

Price

Original price was: $846.36.Current price is: $25.89.

Study Method

Online | Self-paced

Course Format

Interactive PDFs, Articles & Learning Resources

Duration

3 hours, 55 minutes

Qualification

Professional Skills Development Course

Assessment

Final MCQ Exam (included in price)

Certificate

Verifiable Digital Certificate - Free

Additional info

Lifetime Access | Start Instantly

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AWS Machine Learning course visual showing cloud AI, machine learning models, data analytics, vision and NLP technology.

Overview

AWS Machine Learning provides a structured introduction to artificial intelligence and machine learning services available within the AWS cloud ecosystem. Designed to make a broad range of AI capabilities easier to understand, this course explores how specialised cloud services can support tasks involving images, video, speech, language, documents, forecasting, search, personalisation and machine learning model development.

The course begins with essential AI and machine learning concepts before introducing the wider landscape of AWS AI and ML services. Learners then examine purpose-built technologies for different business and technical use cases. These include computer vision with Amazon Rekognition, automatic speech recognition with Amazon Transcribe, text-to-speech capabilities with Amazon Polly and multilingual applications with Amazon Translate.

Natural language and conversational technologies form another important part of the learning journey. Learners explore Amazon Lex for conversational interfaces, Amazon Comprehend for natural language processing and Amazon Connect for cloud-based customer interactions. The course also introduces Amazon SageMaker, helping learners understand the role of a managed platform in building, training and deploying machine learning models.

Beyond these areas, the course covers services designed for forecasting, intelligent search, personalised recommendations, document data extraction and fraud detection. Learners are introduced to Amazon Forecast, Amazon Kendra, Amazon Personalize, Amazon Textract and Amazon Fraud Detector, developing a broader awareness of how AI services can address practical organisational challenges. The curriculum also explores Amazon Sumerian in the context of immersive VR, AR and 3D applications.

By completing the course, learners can develop the ability to distinguish between major AWS AI and ML services, identify suitable technologies for different use cases and build a stronger foundation for further cloud and machine learning study. The final section consolidates key ideas and provides direction for continued learning.

Students have access to 5-star rated support available 24/7 through email throughout their learning experience. Upon successful completion, learners will receive a free course completion certificate. Those who want additional documentation can also choose from multiple premium certificate and transcript options available for purchase.
This course is suitable for aspiring cloud professionals, developers, data enthusiasts, IT students, technical managers and anyone interested in understanding AI services within the AWS ecosystem. It is particularly useful for learners who want to explore practical cloud AI capabilities before progressing towards deeper study in machine learning engineering, cloud architecture or intelligent application development.
No advanced machine learning experience is required to begin. A basic understanding of computers, cloud computing or general technology concepts can be helpful but is not essential. Learners should have an interest in artificial intelligence, machine learning and cloud-based services, along with access to an internet-connected device for studying the course materials.
Completing this course can support further learning and career development in areas such as cloud computing, artificial intelligence and machine learning. Learners may progress towards roles including Cloud Engineer, AI Solutions Developer, Machine Learning Engineer or Cloud Solutions Architect, while developing additional practical skills, technical experience and relevant professional certifications.

Who is this course for?

AWS Machine Learning provides a structured introduction to artificial intelligence and machine learning services available within the AWS cloud ecosystem. Designed to make a broad range of AI capabilities easier to understand, this course explores how specialised cloud services can support tasks involving images, video, speech, language, documents, forecasting, search, personalisation and machine learning model development.

The course begins with essential AI and machine learning concepts before introducing the wider landscape of AWS AI and ML services. Learners then examine purpose-built technologies for different business and technical use cases. These include computer vision with Amazon Rekognition, automatic speech recognition with Amazon Transcribe, text-to-speech capabilities with Amazon Polly and multilingual applications with Amazon Translate.

Natural language and conversational technologies form another important part of the learning journey. Learners explore Amazon Lex for conversational interfaces, Amazon Comprehend for natural language processing and Amazon Connect for cloud-based customer interactions. The course also introduces Amazon SageMaker, helping learners understand the role of a managed platform in building, training and deploying machine learning models.

Beyond these areas, the course covers services designed for forecasting, intelligent search, personalised recommendations, document data extraction and fraud detection. Learners are introduced to Amazon Forecast, Amazon Kendra, Amazon Personalize, Amazon Textract and Amazon Fraud Detector, developing a broader awareness of how AI services can address practical organisational challenges. The curriculum also explores Amazon Sumerian in the context of immersive VR, AR and 3D applications.

By completing the course, learners can develop the ability to distinguish between major AWS AI and ML services, identify suitable technologies for different use cases and build a stronger foundation for further cloud and machine learning study. The final section consolidates key ideas and provides direction for continued learning.

Students have access to 5-star rated support available 24/7 through email throughout their learning experience. Upon successful completion, learners will receive a free course completion certificate. Those who want additional documentation can also choose from multiple premium certificate and transcript options available for purchase.
This course is suitable for aspiring cloud professionals, developers, data enthusiasts, IT students, technical managers and anyone interested in understanding AI services within the AWS ecosystem. It is particularly useful for learners who want to explore practical cloud AI capabilities before progressing towards deeper study in machine learning engineering, cloud architecture or intelligent application development.
No advanced machine learning experience is required to begin. A basic understanding of computers, cloud computing or general technology concepts can be helpful but is not essential. Learners should have an interest in artificial intelligence, machine learning and cloud-based services, along with access to an internet-connected device for studying the course materials.
Completing this course can support further learning and career development in areas such as cloud computing, artificial intelligence and machine learning. Learners may progress towards roles including Cloud Engineer, AI Solutions Developer, Machine Learning Engineer or Cloud Solutions Architect, while developing additional practical skills, technical experience and relevant professional certifications.

Requirements

AWS Machine Learning provides a structured introduction to artificial intelligence and machine learning services available within the AWS cloud ecosystem. Designed to make a broad range of AI capabilities easier to understand, this course explores how specialised cloud services can support tasks involving images, video, speech, language, documents, forecasting, search, personalisation and machine learning model development.

The course begins with essential AI and machine learning concepts before introducing the wider landscape of AWS AI and ML services. Learners then examine purpose-built technologies for different business and technical use cases. These include computer vision with Amazon Rekognition, automatic speech recognition with Amazon Transcribe, text-to-speech capabilities with Amazon Polly and multilingual applications with Amazon Translate.

Natural language and conversational technologies form another important part of the learning journey. Learners explore Amazon Lex for conversational interfaces, Amazon Comprehend for natural language processing and Amazon Connect for cloud-based customer interactions. The course also introduces Amazon SageMaker, helping learners understand the role of a managed platform in building, training and deploying machine learning models.

Beyond these areas, the course covers services designed for forecasting, intelligent search, personalised recommendations, document data extraction and fraud detection. Learners are introduced to Amazon Forecast, Amazon Kendra, Amazon Personalize, Amazon Textract and Amazon Fraud Detector, developing a broader awareness of how AI services can address practical organisational challenges. The curriculum also explores Amazon Sumerian in the context of immersive VR, AR and 3D applications.

By completing the course, learners can develop the ability to distinguish between major AWS AI and ML services, identify suitable technologies for different use cases and build a stronger foundation for further cloud and machine learning study. The final section consolidates key ideas and provides direction for continued learning.

Students have access to 5-star rated support available 24/7 through email throughout their learning experience. Upon successful completion, learners will receive a free course completion certificate. Those who want additional documentation can also choose from multiple premium certificate and transcript options available for purchase.
This course is suitable for aspiring cloud professionals, developers, data enthusiasts, IT students, technical managers and anyone interested in understanding AI services within the AWS ecosystem. It is particularly useful for learners who want to explore practical cloud AI capabilities before progressing towards deeper study in machine learning engineering, cloud architecture or intelligent application development.
No advanced machine learning experience is required to begin. A basic understanding of computers, cloud computing or general technology concepts can be helpful but is not essential. Learners should have an interest in artificial intelligence, machine learning and cloud-based services, along with access to an internet-connected device for studying the course materials.
Completing this course can support further learning and career development in areas such as cloud computing, artificial intelligence and machine learning. Learners may progress towards roles including Cloud Engineer, AI Solutions Developer, Machine Learning Engineer or Cloud Solutions Architect, while developing additional practical skills, technical experience and relevant professional certifications.

Career path

AWS Machine Learning provides a structured introduction to artificial intelligence and machine learning services available within the AWS cloud ecosystem. Designed to make a broad range of AI capabilities easier to understand, this course explores how specialised cloud services can support tasks involving images, video, speech, language, documents, forecasting, search, personalisation and machine learning model development.

The course begins with essential AI and machine learning concepts before introducing the wider landscape of AWS AI and ML services. Learners then examine purpose-built technologies for different business and technical use cases. These include computer vision with Amazon Rekognition, automatic speech recognition with Amazon Transcribe, text-to-speech capabilities with Amazon Polly and multilingual applications with Amazon Translate.

Natural language and conversational technologies form another important part of the learning journey. Learners explore Amazon Lex for conversational interfaces, Amazon Comprehend for natural language processing and Amazon Connect for cloud-based customer interactions. The course also introduces Amazon SageMaker, helping learners understand the role of a managed platform in building, training and deploying machine learning models.

Beyond these areas, the course covers services designed for forecasting, intelligent search, personalised recommendations, document data extraction and fraud detection. Learners are introduced to Amazon Forecast, Amazon Kendra, Amazon Personalize, Amazon Textract and Amazon Fraud Detector, developing a broader awareness of how AI services can address practical organisational challenges. The curriculum also explores Amazon Sumerian in the context of immersive VR, AR and 3D applications.

By completing the course, learners can develop the ability to distinguish between major AWS AI and ML services, identify suitable technologies for different use cases and build a stronger foundation for further cloud and machine learning study. The final section consolidates key ideas and provides direction for continued learning.

Students have access to 5-star rated support available 24/7 through email throughout their learning experience. Upon successful completion, learners will receive a free course completion certificate. Those who want additional documentation can also choose from multiple premium certificate and transcript options available for purchase.
This course is suitable for aspiring cloud professionals, developers, data enthusiasts, IT students, technical managers and anyone interested in understanding AI services within the AWS ecosystem. It is particularly useful for learners who want to explore practical cloud AI capabilities before progressing towards deeper study in machine learning engineering, cloud architecture or intelligent application development.
No advanced machine learning experience is required to begin. A basic understanding of computers, cloud computing or general technology concepts can be helpful but is not essential. Learners should have an interest in artificial intelligence, machine learning and cloud-based services, along with access to an internet-connected device for studying the course materials.
Completing this course can support further learning and career development in areas such as cloud computing, artificial intelligence and machine learning. Learners may progress towards roles including Cloud Engineer, AI Solutions Developer, Machine Learning Engineer or Cloud Solutions Architect, while developing additional practical skills, technical experience and relevant professional certifications.

    • Introduction to AI and Machine Learning Concepts 00:10:00
    • High-Level Overview of AWS AI & ML Services 00:10:00
    • Amazon Rekognition – Image and Video Analysis 00:10:00
    • Amazon Transcribe – Automatic Speech Recognition 00:10:00
    • Amazon Polly – Text-to-Speech Service 00:10:00
    • Amazon Translate – Language Translation 00:10:00
    • Amazon Lex – Conversational Interfaces and Chatbots 00:10:00
    • Amazon Connect – Cloud Contact Center 00:10:00
    • Amazon Comprehend – Natural Language Processing 00:10:00
    • Amazon SageMaker – Build, Train, and Deploy ML Models 00:10:00
    • Amazon Forecast – Time Series Forecasting 00:10:00
    • Amazon Kendra – Intelligent Search 00:10:00
    • Amazon Personalize – Real-Time Personalization and Recommendations 00:10:00
    • Amazon Textract – Document Text Extraction 00:10:00
    • Amazon Fraud Detector – Detecting Fraudulent Activity 00:10:00
    • Amazon Sumerian – Build and Run VR, AR, and 3D Applications 00:10:00
    • Summary and Resources for Further Learning 00:10:00
    • Exam of AWS Machine Learning Services: Complete Guide to AI & ML on AWS 2023 00:50:00
    • Premium Certificate 00:15:00
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Yes, our premium certificate and transcript are widely recognized and accepted by embassies worldwide, particularly by the UK embassy. This adds credibility to your qualification and enhances its value for professional and academic purposes.

Yes, this course is designed for learners of all levels, including beginners. The content is structured to provide step-by-step guidance, ensuring that even those with no prior experience can follow along and gain valuable knowledge.

Yes, professionals will also benefit from this course. It covers advanced concepts, practical applications, and industry insights that can help enhance existing skills and knowledge. Whether you are looking to refine your expertise or expand your qualifications, this course provides valuable learning.

No, you have lifetime access to the course. Once enrolled, you can revisit the materials at any time as long as the course remains available. Additionally, we regularly update our content to ensure it stays relevant and up to date.

I trust you’re in good health. Your free certificate can be located in the Achievement section. The option to purchase a CPD certificate is available but entirely optional, and you may choose to skip it. Please be aware that it’s crucial to click the “Complete” button to ensure the certificate is generated, as this process is entirely automated.

Yes, the course includes both assessments and assignments. Your final marks will be determined by a combination of 20% from assignments and 80% from assessments. These evaluations are designed to test your understanding and ensure you have grasped the key concepts effectively.

We are a recognized course provider with CPD, UKRLP, and AOHT membership. The logos of these accreditation bodies will be featured on your premium certificate and transcript, ensuring credibility and professional recognition.

Yes, you will receive a free digital certificate automatically once you complete the course. If you would like a premium CPD-accredited certificate, either in digital or physical format, you can upgrade for a small fee.

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Course Features

Price

Original price was: $846.36.Current price is: $25.89.

Study Method

Online | Self-paced

Course Format

Interactive PDFs, Articles & Learning Resources

Duration

3 hours, 55 minutes

Qualification

Professional Skills Development Course

Assessment

Final MCQ Exam (included in price)

Certificate

Verifiable Digital Certificate - Free

Additional info

Lifetime Access | Start Instantly

  • Share

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