Introduction to Programming Using Python 98-381
Candidates for this exam should be able to recognize and write syntactically correct Python code, recognize data types supported by Python, and be able to recognize and write Python code that will logically solve a given problem.
Candidates should be familiar with its features and capabilities, and understand how to write, debug, and maintain well-formed, well documented Python code.
Note that this exam will be retired by Microsoft on June 30, 2022 and will not be replaced by any Python specific certification. However, after we will maintain a core LDI Python syllabus similar to the legacy 98-381 course as we believe a fundamental foundation in Python is essential for Data science.
Designing and Implementing a Data Science Solution on Azure DP-100
Candidates for this exam should have subject matter expertise applying data science and machine learning to implement and run machine learning workloads on Microsoft Azure.
Responsibilities include planning and creating a suitable working environment for data science workloads on Azure. You will learn how to run data experiments and train predictive models. In addition, managing, optimizing, and deploying machine learning models into production will include in the curriculum.
Designing and Implementing a Microsoft Azure AI Solution AI 102
Candidates should be able to build, manage, and deploy AI solutions that leverage Azure Cognitive Services and Azure Applied AI services. To pass for this exam candidates should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.
As an LDI Data Scientist you will be able to design and implement data science solutions or AI solutions on Azure. You will start with an introduction to programming in Python, which is the in-demand language for data science.
You will then progress to understand how to plan and create a data science workload in Azure, run data experiments, train predictive models and manage, optimize, and deploy machine learning models into production. This is covered in the syllabus of the Microsoft DP-100 exam.
Next, through the syllabus of the Microsoft AI-102 exam, you will learn how to participate in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring. Candidates should also understand the components that make up the Azure AI portfolio and the available data storage options.
The LDI Data Scientist Role Path consists of the following:
Designing and Implementing a Data Science Solution on Azure DP-100 Syllabus | LDI Content (Coming Soon)
Designing and Implementing a Microsoft Azure AI Solution AI 102 Syllabus | LDI Content (Coming Soon)