AI/ML Lab: AWS Foundations for Development

Course Code
3830824

Elevate your AI skills with our AI/ML Lab: AWS Foundations for AI Development. This fast-paced learning lab, designed for proficient engineers, provides hands-on experience with the innovative tools and cloud-based machine learning solutions of Amazon Web Services (AWS), propelling your career forward with the AWS Machine Learning Specialty certification.

  • Start Date August 3
  • Time Fri 8:00am - 5:00pm (PDT)
  • Duration 3 Days
  • Program Type Open-Enrollment/Public
  • Certificate Type Certificate
  • Format Live-Online
  • CEUs 2.4
  • PDUs 24
  • Fees $2,070

Elevate your AI skills with our AI/ML Lab: AWS Foundations for AI Development. This fast-paced learning lab, designed for proficient engineers, provides hands-on experience with the innovative tools and cloud-based machine learning solutions of Amazon Web Services (AWS), propelling your career forward with the AWS Machine Learning Specialty certification.

AI/ML Lab: AWS Foundations for Development

Program Experience

Over three days, this lab takes you deeper into AWS’s rich suite of machine learning tools like Amazon SageMaker, AWS Bedrock, and AWS JumpStart. This specialized course is designed for engineers and developers who are already versed in AI/ML and data science, aiming to enhance their cloud-based capabilities.

You'll engage with practical applications and live projects, taking steps to integrate AWS's advanced features into your workflows. This hands-on approach ensures you not only understand the technical specifications, but also learn to effectively implement these solutions in real-world scenarios, preparing you for the AWS Machine Learning Specialty certification.

Benefits
  • Gain practical exposure to AWS's key tools such as Amazon SageMaker, AWS Bedrock, and AWS JumpStart, enhancing your ability to build, deploy, and manage AI models effectively
  • Develop skills to navigate and manage AWS cloud environments, ensuring faster deployment and resource optimization
  • Boost your confidence by tackling complex machine learning projects that require advanced data manipulation and model tuning
  • Prepare for the AWS Machine Learning Specialty certification, acquiring the knowledge needed to advance your certification goals
  • Discover innovative strategies for scaling AI solutions and managing project costs, all within secure and compliant cloud architectures
Topics
  • Amazon SageMaker: Comprehensive training in building, training, and deploying scalable machine learning models
  • AWS Bedrock: Insights into simplifying Large Language Model (LLM) development, enhancing model management efficiency
  • AWS JumpStart: Utilization of pre-built machine learning models and solutions, accelerating project timelines
  • Foundational AWS Components:
    • Security: Key strategies including IAM, encryption, and security
    • Cost Control: Techniques for cost optimization in large-scale ML projects
    • Scalability: Approaches to scaling AI and ML solutions efficiently
    • Serverless Computing: Leveraging AWS Lambda and other serverless technologies
Who Should Attend

This course is ideal for engineers and data scientists who are already proficient in AI/ML and Python coding and are seeking to advance their expertise in cloud-based development. Analysts and citizen developers looking for exposure to low-code tools will find this lab valuable but may find some topics advanced if there is little understanding of machine learning and computer science. Tailored to enhance existing skills, this three-day intensive lab focuses on applying practical AWS tools and strategies, preparing participants for the AWS Machine Learning Specialty certification.

Schedule
Course Duration Live Online (via Zoom)
AI/ML Lab: AWS Foundations for Development & ML Operations
24 Hours

On the following days

August 3, 10, 17, 2024

8:00 AM - 5:00 PM Pacific Time

Instructors

Photo of Nicholas Beaudoin

Nicholas Beaudoin

Machine Learning, Generative AI