Certified Professional in AWS Machine Learning
-- viewing nowThe Certified Professional in AWS Machine Learning course is a vital program for those seeking expertise in cloud-based machine learning. AWS is a dominant player in cloud services, making this certification highly relevant in today's tech-driven world.
7,891+
Students enrolled
7-Day Money-Back Guarantee
Enroll with confidence
Secure Checkout
256-bit encrypted payment
Lifetime Access
Learn at your own pace
About this course
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course Details
- AWS Machine Learning Fundamentals: Overview of machine learning concepts, AWS machine learning services, and their use cases. Understanding of AWS SageMaker, AWS Comprehend, AWS Lex, and AWS Polly.
- Data Preparation for Machine Learning: Techniques for data pre-processing, data wrangling, and feature engineering using AWS Glue, AWS Lake Formation, and Amazon S3.
- Machine Learning Algorithms and Techniques: Deep dive into machine learning algorithms, including supervised and unsupervised learning, neural networks, and reinforcement learning. Hands-on experience with Amazon SageMaker built-in algorithms and frameworks.
- Computer Vision with AWS: Understanding of computer vision concepts and techniques, including object detection, image recognition, and facial analysis. Hands-on experience with Amazon Rekognition and other relevant AWS services.
- Natural Language Processing with AWS: Overview of natural language processing (NLP) concepts, techniques, and applications. Hands-on experience with AWS Comprehend, AWS Transcribe, and AWS Translate.
- Building Scalable Machine Learning Solutions with AWS: Designing and deploying scalable machine learning solutions using AWS services such as Amazon SageMaker, AWS Lambda, and Amazon ECS.
- Machine Learning Security and Compliance: Best practices and strategies for ensuring security and compliance in machine learning solutions built on AWS. Understanding of AWS security services, including AWS IAM, AWS Key Management Service (KMS), and AWS Identity and Access Management (IAM).
- Machine Learning Operations with AWS: Overview of machine learning operations (MLOps) concepts and best practices. Hands-on experience with AWS services such as AWS CodeCommit, AWS CodeBuild, and AWS CodePipeline.
- Note: The above list of units is not exhaustive and may vary based on the certification program and the learner's background and objectives.
Career Path
As a Certified Professional in AWS Machine Learning, you'll be joining a thriving and ever-evolving industry.
This 3D pie chart showcases the primary areas of focus for professionals like yourself, enabling you to understand and navigate the UK job market more effectively.
The chart highlights three essential aspects of the AWS Machine Learning certification: job market trends, salary ranges, and skill demand.
By illustrating the percentage distribution of each category, this visually appealing and responsive chart offers valuable insights to help you make informed decisions in your career path.
In the 'Job Market Trends' category, you'll find the latest developments and advancements in the field.
These trends can help you understand the current landscape and predict future shifts within the industry.
The 'Salary Ranges' category provides an overview of the earning potential for professionals holding an AWS Machine Learning certification.
This information can be beneficial in setting realistic expectations and negotiating job offers.
Lastly, the 'Skill Demand' category outlines the specific abilities that organisations seek in professionals with AWS Machine Learning certifications.
This data can help you identify the areas where you excel and where you might need to further develop your skillset.
With these insights, you can confidently navigate your career path as a Certified Professional in AWS Machine Learning, ensuring that you remain competitive and relevant in the ever-changing tech industry.
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate
