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.
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.
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
