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Course Features

Price

Original price was: $902.94.Current price is: $27.62.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

3 hours, 55 minutes

Qualification

No formal qualification

Certificate

At completion

Additional info

Coming soon

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Overview

This comprehensive AWS machine learning course is designed to take you from understanding core AI and ML concepts to implementing them with the latest AWS services. You’ll start with an introduction to artificial intelligence and machine learning fundamentals before exploring a high-level overview of AWS’s powerful AI and ML ecosystem. These early lessons give you a clear roadmap for building intelligent applications on the cloud.

You’ll then dive deep into individual AWS AI and ML services. Lessons cover Amazon Rekognition for image and video analysis, Amazon Transcribe for automatic speech recognition, Amazon Polly for lifelike text-to-speech, and Amazon Translate for multilingual translation. You’ll also learn to create conversational interfaces with Amazon Lex, manage customer experiences with Amazon Connect, and perform advanced natural language processing using Amazon Comprehend.

Further modules guide you through Amazon SageMaker for building, training and deploying custom ML models, Amazon Forecast for time-series forecasting, Amazon Kendra for intelligent enterprise search, Amazon Personalize for real-time recommendations, and Amazon Textract for automated document text extraction. You’ll also explore Amazon Fraud Detector for identifying fraudulent activity and Amazon Sumerian for creating VR, AR and 3D applications—all within AWS’s secure, scalable infrastructure.

By the end of the course, you’ll not only understand how each service works but also how to combine them to create end-to-end AI solutions that meet real business needs. The final section summarises key takeaways and provides resources for further learning, so you can continue developing your AWS AI and ML expertise beyond the course.

This course is ideal for developers, data scientists, cloud engineers, IT professionals and business analysts who want to learn how to leverage AWS’s AI and ML services. It’s also perfect for beginners interested in exploring cloud-based machine learning without needing deep data science or programming backgrounds.
No prior AWS or machine learning experience is required. A basic understanding of cloud computing or programming concepts is helpful, but every setup, feature and service is explained step by step, making the course accessible to newcomers while still offering valuable insights to experienced professionals.
Completing AWS Machine Learning Services: Complete Guide to AI & ML on AWS 2023 equips you with the in-demand skills needed to work on cloud-based AI projects. You’ll be prepared for roles such as AWS Machine Learning Engineer, Cloud AI Specialist, Data Engineer, or Solutions Architect with a focus on AI and ML. These skills also provide a strong foundation for advanced AWS certifications and for building scalable, intelligent applications that can transform businesses in the rapidly growing AI market.

Who is this course for?

This comprehensive AWS machine learning course is designed to take you from understanding core AI and ML concepts to implementing them with the latest AWS services. You’ll start with an introduction to artificial intelligence and machine learning fundamentals before exploring a high-level overview of AWS’s powerful AI and ML ecosystem. These early lessons give you a clear roadmap for building intelligent applications on the cloud.

You’ll then dive deep into individual AWS AI and ML services. Lessons cover Amazon Rekognition for image and video analysis, Amazon Transcribe for automatic speech recognition, Amazon Polly for lifelike text-to-speech, and Amazon Translate for multilingual translation. You’ll also learn to create conversational interfaces with Amazon Lex, manage customer experiences with Amazon Connect, and perform advanced natural language processing using Amazon Comprehend.

Further modules guide you through Amazon SageMaker for building, training and deploying custom ML models, Amazon Forecast for time-series forecasting, Amazon Kendra for intelligent enterprise search, Amazon Personalize for real-time recommendations, and Amazon Textract for automated document text extraction. You’ll also explore Amazon Fraud Detector for identifying fraudulent activity and Amazon Sumerian for creating VR, AR and 3D applications—all within AWS’s secure, scalable infrastructure.

By the end of the course, you’ll not only understand how each service works but also how to combine them to create end-to-end AI solutions that meet real business needs. The final section summarises key takeaways and provides resources for further learning, so you can continue developing your AWS AI and ML expertise beyond the course.

This course is ideal for developers, data scientists, cloud engineers, IT professionals and business analysts who want to learn how to leverage AWS’s AI and ML services. It’s also perfect for beginners interested in exploring cloud-based machine learning without needing deep data science or programming backgrounds.
No prior AWS or machine learning experience is required. A basic understanding of cloud computing or programming concepts is helpful, but every setup, feature and service is explained step by step, making the course accessible to newcomers while still offering valuable insights to experienced professionals.
Completing AWS Machine Learning Services: Complete Guide to AI & ML on AWS 2023 equips you with the in-demand skills needed to work on cloud-based AI projects. You’ll be prepared for roles such as AWS Machine Learning Engineer, Cloud AI Specialist, Data Engineer, or Solutions Architect with a focus on AI and ML. These skills also provide a strong foundation for advanced AWS certifications and for building scalable, intelligent applications that can transform businesses in the rapidly growing AI market.

Requirements

This comprehensive AWS machine learning course is designed to take you from understanding core AI and ML concepts to implementing them with the latest AWS services. You’ll start with an introduction to artificial intelligence and machine learning fundamentals before exploring a high-level overview of AWS’s powerful AI and ML ecosystem. These early lessons give you a clear roadmap for building intelligent applications on the cloud.

You’ll then dive deep into individual AWS AI and ML services. Lessons cover Amazon Rekognition for image and video analysis, Amazon Transcribe for automatic speech recognition, Amazon Polly for lifelike text-to-speech, and Amazon Translate for multilingual translation. You’ll also learn to create conversational interfaces with Amazon Lex, manage customer experiences with Amazon Connect, and perform advanced natural language processing using Amazon Comprehend.

Further modules guide you through Amazon SageMaker for building, training and deploying custom ML models, Amazon Forecast for time-series forecasting, Amazon Kendra for intelligent enterprise search, Amazon Personalize for real-time recommendations, and Amazon Textract for automated document text extraction. You’ll also explore Amazon Fraud Detector for identifying fraudulent activity and Amazon Sumerian for creating VR, AR and 3D applications—all within AWS’s secure, scalable infrastructure.

By the end of the course, you’ll not only understand how each service works but also how to combine them to create end-to-end AI solutions that meet real business needs. The final section summarises key takeaways and provides resources for further learning, so you can continue developing your AWS AI and ML expertise beyond the course.

This course is ideal for developers, data scientists, cloud engineers, IT professionals and business analysts who want to learn how to leverage AWS’s AI and ML services. It’s also perfect for beginners interested in exploring cloud-based machine learning without needing deep data science or programming backgrounds.
No prior AWS or machine learning experience is required. A basic understanding of cloud computing or programming concepts is helpful, but every setup, feature and service is explained step by step, making the course accessible to newcomers while still offering valuable insights to experienced professionals.
Completing AWS Machine Learning Services: Complete Guide to AI & ML on AWS 2023 equips you with the in-demand skills needed to work on cloud-based AI projects. You’ll be prepared for roles such as AWS Machine Learning Engineer, Cloud AI Specialist, Data Engineer, or Solutions Architect with a focus on AI and ML. These skills also provide a strong foundation for advanced AWS certifications and for building scalable, intelligent applications that can transform businesses in the rapidly growing AI market.

Career path

This comprehensive AWS machine learning course is designed to take you from understanding core AI and ML concepts to implementing them with the latest AWS services. You’ll start with an introduction to artificial intelligence and machine learning fundamentals before exploring a high-level overview of AWS’s powerful AI and ML ecosystem. These early lessons give you a clear roadmap for building intelligent applications on the cloud.

You’ll then dive deep into individual AWS AI and ML services. Lessons cover Amazon Rekognition for image and video analysis, Amazon Transcribe for automatic speech recognition, Amazon Polly for lifelike text-to-speech, and Amazon Translate for multilingual translation. You’ll also learn to create conversational interfaces with Amazon Lex, manage customer experiences with Amazon Connect, and perform advanced natural language processing using Amazon Comprehend.

Further modules guide you through Amazon SageMaker for building, training and deploying custom ML models, Amazon Forecast for time-series forecasting, Amazon Kendra for intelligent enterprise search, Amazon Personalize for real-time recommendations, and Amazon Textract for automated document text extraction. You’ll also explore Amazon Fraud Detector for identifying fraudulent activity and Amazon Sumerian for creating VR, AR and 3D applications—all within AWS’s secure, scalable infrastructure.

By the end of the course, you’ll not only understand how each service works but also how to combine them to create end-to-end AI solutions that meet real business needs. The final section summarises key takeaways and provides resources for further learning, so you can continue developing your AWS AI and ML expertise beyond the course.

This course is ideal for developers, data scientists, cloud engineers, IT professionals and business analysts who want to learn how to leverage AWS’s AI and ML services. It’s also perfect for beginners interested in exploring cloud-based machine learning without needing deep data science or programming backgrounds.
No prior AWS or machine learning experience is required. A basic understanding of cloud computing or programming concepts is helpful, but every setup, feature and service is explained step by step, making the course accessible to newcomers while still offering valuable insights to experienced professionals.
Completing AWS Machine Learning Services: Complete Guide to AI & ML on AWS 2023 equips you with the in-demand skills needed to work on cloud-based AI projects. You’ll be prepared for roles such as AWS Machine Learning Engineer, Cloud AI Specialist, Data Engineer, or Solutions Architect with a focus on AI and ML. These skills also provide a strong foundation for advanced AWS certifications and for building scalable, intelligent applications that can transform businesses in the rapidly growing AI market.

    • 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: $902.94.Current price is: $27.62.

Study Method

Online | Self-paced

Course Format

Reading Material - PDF, article

Duration

3 hours, 55 minutes

Qualification

No formal qualification

Certificate

At completion

Additional info

Coming soon

  • Share
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