MLS-C01: AWS Certified Machine Learning Speciality

AWS Certified Machine Learning Speciality: MLS-C01 Certification Preparation Course

Invest in the AWS Certified Machine Learning Specialty (MLS-C01) programme to ensure your organisation is at the forefront of AI innovation and operational efficiency. This advanced certification equips your technical workforce with the expertise to design, implement, and deploy scalable machine learning (ML) solutions using the AWS Cloud.

This intensive programme focuses on four critical domains:

  • Data Engineering: Mastery of data ingestion, prep, and transformation using AWS Glue and Amazon Athena.
  • Exploratory Data Analysis: Proficiency in sanitising and visualising data to identify patterns and prepare for modelling.
  • Modelling: Deep dives into selecting, training, and tuning ML models within Amazon SageMaker.
  • Machine Learning Implementation & Operations: Ensuring security, scalability, and reliability in production environments.
  • AWS Global Infrastructure for ML
  • Data Collection and S3 Data Lakes
  • Feature Engineering with Amazon SageMaker
  • Supervised and Unsupervised Learning Algorithms
  • Deep Learning and Frameworks on AWS
  • Model Deployment and A/B Testing
  • ML Security and Compliance

This specialty certification is designed for individuals in technical roles who already possess a foundation in AWS:

  • Data Scientists: To validate their ability to build production-ready models.
  • ML Engineers: To master the operational side of the ML lifecycle.
  • Solutions Architects: To design robust, AI-driven architectures.

Delivery Model

  • 5 full days tuition to AWS Certified Machine Learning Speciality Exam Syllabus
  • Practice Tests
  • Courseware
  • AWS Labs
  • One 1:1 with a Certified Tutor
  • Exam Pass Pledge (free resit)

Qualification

  • Qualification Title (Credits)
  • MLS-C01 Examination – £250 incl. VAT

The MLS-C01 represents a high-value milestone in a cloud career. Success in this programme prepares employees for:

  • AI/ML Architect Roles: Designing enterprise-wide intelligence systems.
  • Data Science Leadership: Managing complex predictive analytics projects.
  • Advanced MLOps: Streamlining the bridge between data science and IT operations.

Description of funding availability:

  • Eligibility Criteria 1.
  • Eligibility Criteria 2.
  • …

Description of self funding and fee required.

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Looking to upskill your team? We can deliver training at your site for cohorts of any size to minimise disruption and maximise your training budget.

By delivering training onsite, we can tailor the learning experience to meet the needs of your organisation, facilitate an environment for your team to learn and grow together, whilst providing you with the visibility to tack and evaluate learning and progression.

Tell us about your training needs and we will provide you with a tailored quote to achieve them.

Ready to apply?

Start your application below and we’ll contact you within three working days to discuss your suitability and explore any available funding options.

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See our Privacy Policy for more detail on what data items we collect, how we process and use your data, and who we may share your information with. All information provided will be handled in strict accordance with the Data Protection Act. iungo Solutions is a data controller registered with The Information Commissioner’s Office, registration number ZB187728. You can request to have your information updated or erased at any point by emailing dataprotection@iungo.solutions.

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We’re here to support you with all your upskilling needs, from apprenticeships to bespoke training. Contact us to see how we can help.

Contact Us
  • 02922 805961
  • training@iungo.solutions