Data science is driving a transformative wave in technology, heralding an era of unprecedented innovation. Mastery of data science is essential for organizations aiming to stay ahead and foster creativity. With the continuous advancements in data science, having these skills empowers individuals and organizations to leverage data for strategic decision-making, enhance customer interactions, and improve operational efficiencies. This is where Oracle Cloud Infrastructure (OCI) Data Science steps in. Built with the needs of modern enterprises in mind, OCI Data Science offers a robust platform designed to make data science collaborative, scalable, and highly effective. Whether it’s through facilitating team-based projects or ensuring seamless model deployment and maintenance, OCI Data Science equips organizations with the tools needed to thrive in today’s data-driven world.

We are excited about the boundless potential of data science and committed to empowering individuals and organizations eager to delve into this rapidly advancing field – hence, we are thrilled to unveil the OCI 2024 Data Science Professional Certification and Course!!

Acquire OCI Data Science Skills

The Oracle Cloud Infrastructure (OCI) Data Science Professional course and certification is designed to equip data scientists and machine learning engineers with the skills and knowledge to effectively utilize OCI’s comprehensive suite of data science tools. This course covers the end-to-end machine learning lifecycle, from setting up a data science workspace to deploying and managing machine learning models in production. You will delve into configuring and managing OCI Data Science workspaces and projects, utilizing the ADS SDK for streamlined workflows, and implementing the end-to-end machine learning lifecycle. Additionally, you’ll apply MLOps practices to automate and monitor your workflows, ensuring robust deployment and management of machine learning models. You’ll also gain expertise in integrating various OCI services to enhance your data science capabilities, including OCI Vault, OCI Object Storage, OCI Generative AI, OCI Data Flow and OCI Data Labeling.

If you’re starting from scratch, we recommend beginning with the OCI AI Foundations course and certification. However, if you possess some experience with machine learning and deep learning concepts and are proficient in Python, you can dive straight into the OCI Data Science Professional course.

What’s new in the 2024 course

  • Coverage of recently introduced features of the Data Science and AI services: The OCI Data Science service is updated to introduce many new features. These powerful features make Data Science service easier to use and help you achieve your day-to-day ML tasks efficiently. The certification now covers recently introduced features of the Data Science Service including
    • Accelerated Data Science and OCI Generative AI Integration
    • LangChain application deployment to OCI Data Science
    • Operators
    • AI Quick Actions
    • Autoscaling in Model Deployment
  • More Demos: We have included additional demos that help you see walkthrough of more working examples
    • Deploy LangChain based RAG to OCI Data Science
    • OCI AI Quick Actions
    • Model Deployment with Autoscaling
    • Operators

Updated OCI Data Science Professional Certification Exam

The OCI Data Science Professional 2024 Certification exam has been updated to include new topics to address new service features and is also simplified as per your feedback to us. The exam objectives and their weightages are shown below.

Exam Objectives


















We have also introduced new questions in the certification exam to cover changes in the Data Science features. It is our objective to make you proficient in using OCI Data Science and related services. After completing this course, you will be able to:

  • Identify OCI services to implement an ML solution for a business use case.
  • Configure and manage OCI Data Science workspaces and projects.
  • Utilize Accelerated Data Science (ADS) SDK to streamline data science processes.
  • Implement end-to-end machine learning lifecycle, including data preparation, model training, evaluation, and deployment.
  • Apply MLOps practices to automate and monitor machine learning workflow.
  • Integrate with other OCI services such as OCI Vault, OCI Object Storage, OCI Generative AI, OCI Data Flow and OCI Data Labeling.

New OCI Data Science features details

Let’s delve into the new features details:

Large Language Model : Training, integration & deployment with ADS 

Oracle Cloud Infrastructure (OCI) Data Science Jobs (Jobs) provides fully managed infrastructure to enable training large language model at scale. Data Science Model Deployment and Model Catalog services now support large model deployments. You can use OCI Generative AI service model endpoints to perform text generation, summarization and embedding. Large model artifacts can be stored in the model catalog service and be used to create model deployments. Oracle ADS supports the deployment of LangChain application to OCI Data Science Model Deployment. ADS provides the ChainDeployment to handle the deployment of LangChain applications.

Operators

Operators are a suite of pre-packaged solutions designed to address a wide range of data science needs. They offer a user-friendly, low-code interface, making data science tasks accessible to users with varying levels of expertise. Domain experts can leverage and extend operators to encapsulate their domain-specific knowledge. Data Scientists and AI Engineers can focus on customizing the data and modeling parameters and allow the Operator to handle the more mundane tasks: ETL, data cleaning, OCI AI Platform integration, report generation, explainability, and more. We currently support 3 frameworks:

  • Forecasting operator
  • Anomaly Detection operator
  • Personal Identifiable Information (PII) operator

AI Quick Actions

AI quick actions make it easy for you to browse a curated list of large language model pre-trained foundation models, and deploy, fine-tune, and evaluate them inside Data Science notebooks. The AI Quick Actions catalog is a collection of LLM use cases that can be invoked with a click of a button, all in an easy-to-use user interface inside the Data Science notebook session.

Autoscaling in Model Deployment

Autoscaling offers a solution by letting you define a range for the number of instances, empowering the service to automatically scale up or down as demand fluctuates. You have the flexibility to set usage thresholds that trigger the scaling process, letting you control how quickly the deployment adapts to changes in demand. Moreover, you can extend autoscaling capabilities to load balancers. By specifying a bandwidth range with minimum and maximum values, the load balancer adjusts automatically to varying traffic requests. This not only enhances performance, but also contributes to effective cost management by dynamically responding to changing workload demands. You can create a new model deployment or update an existing model deployment with autoscaling.

Updated Course Overview

With a duration of approximately 17 hours including 9 hrs. of lab, the course can be easily completed within couple of weeks, depending on your schedule. The updated course overview video provides more details: 

Data Science Professional Course Overview

 

Get Started Today

Check out the following to get started on your journey to learn:

Ready to learn more about the Oracle Cloud Infrastructure Data Science service?

Finally, if you haven’t heard yet, we will be waiving the certification exam fee ($245) from 4/22/2024 to 7/31/2024, enabling you to get OCI Generative AI certified for free. For further details, visit the Oracle University Gen AI promotion page.

We sincerely hope that you will find the updated course to be valuable and informative. At OCI, we are always working to improve by delivering valuable training, incorporating feedback, and analyzing user data. Your feedback matters! Take a moment to rate the course and leave a detailed review. Your specific comments will help us understand what we’re doing right and how we can make improvements. 

Thank you for reading, and best of luck with the course and certification exam!!