Prepare for an AI development project
Use Azure AI Foundry portal to create a hub and project to build an AI solution.
Use Azure AI Foundry portal to create a hub and project to build an AI solution.
I have created this notes while I was preparing for AI-900 exam. It includes some important concepts essential for this exam.
Some practice questions to prepare for AZ-900 exam.
Use Azure AI Foundry to fine-tune a language model, create and apply content filters.
Use Azure AI Foundry to integrate custom data using RAG into a generative AI app.
Use Azure AI Foundry portal’s prompt flow to create a custom chat app that uses a user prompt and chat history as inputs, and uses a GPT model from Azure OpenAI to generate an output.
Use the Phi-4-multimodal-instruct generative AI model to generate responses to prompts that include text, images, and audio.
Use Azure AI Foundry portal to choose, compare and deploy the models from model catalog.
Use Azure AI Foundry portal to create a hub and project to build an AI solution.
Understanding Azure AI Foundry in detail.
I saw this video on Azure AI Foundry on YouTube by John Savill.
Discussing about different ways to create and manage Azure resources. There are many ways to interact with Azure resources and the right tool to choose depends on the requirements of a particular task.
My notes to prepare for DP-100 exam. This includes some important concepts which may help.
I have created this notes while I was preparing for AI-900 exam. It includes some important concepts essential for this exam.
Some practice questions to prepare for DP-900 exam.
Some practice questions to prepare for AZ-900 exam.
Understanding how to create a storage blob in Azure.
In this task, we are going to remove duplicates from a csv file present in a container.
In this task, we are going to configure Azure Data Flow Error Handling.
In this task, we are going to use derived columns transformation in Azure Data Factory to split a column into 2 columns.
In this task, we are going to use conditional split in Azure Data Factory to split the data in a Persons table present in Azure SQL Database to split the data based on the age column.
In this task, we are going to flatten the json file stored in a Container in our storage account.
In the json file, the data is an array of arrays, so we are going to flatten it to individual records.
Understanding how to enable security for Azure Data Lake.
The security model in Azure Data Lake Storage supports both RBAC and ACLs. Azure role assignments are evaluated first. They take priority over any ACL assignments.
Understanding how to configure a hierarchical namespace for Azure Data Lake.
Understanding how to create a resource lock in Azure.
In this exercise, you use the Pricing calculator to estimate the cost of running a basic web application on Azure.
In this exercise, you use the Total Cost of Ownership (TCO) Calculator to compare the cost of running a sample workload in your datacenter versus on Azure.
Understanding and implementing Azure VM
Use Azure AI Foundry to integrate custom data using RAG into a generative AI app.
Use Azure AI Foundry portal’s prompt flow to create a custom chat app that uses a user prompt and chat history as inputs, and uses a GPT model from Azure OpenAI to generate an output.
Understanding Azure AI Foundry in detail.
I saw this video on Azure AI Foundry on YouTube by John Savill.
In this task, we are going to remove duplicates from a csv file present in a container.
In this task, we are going to configure Azure Data Flow Error Handling.
In this task, we are going to use derived columns transformation in Azure Data Factory to split a column into 2 columns.
In this task, we are going to use conditional split in Azure Data Factory to split the data in a Persons table present in Azure SQL Database to split the data based on the age column.
In this task, we are going to flatten the json file stored in a Container in our storage account.
In the json file, the data is an array of arrays, so we are going to flatten it to individual records.
In this exercise, you use the Pricing calculator to estimate the cost of running a basic web application on Azure.
In this exercise, you use the Total Cost of Ownership (TCO) Calculator to compare the cost of running a sample workload in your datacenter versus on Azure.
In today’s data-driven business landscape, organizations generate unprecedented volumes of information every second. The ability to transform this raw data into actionable insights has become the difference between market leaders and followers.
If you’re preparing for your first data analyst role, these 50 interview questions and answers will help you get ready.
This is the 15 days of DAX series that I have created on LinkedIn. Learn 50+ common DAX functions in Power BI with simple examples.
My notes to prepare for DP-100 exam. This includes some important concepts which may help.
Some practice questions to prepare for DP-900 exam.
In this task, we are going to remove duplicates from a csv file present in a container.
In this task, we are going to configure Azure Data Flow Error Handling.
In this task, we are going to use derived columns transformation in Azure Data Factory to split a column into 2 columns.
In this task, we are going to use conditional split in Azure Data Factory to split the data in a Persons table present in Azure SQL Database to split the data based on the age column.
In this task, we are going to flatten the json file stored in a Container in our storage account.
In the json file, the data is an array of arrays, so we are going to flatten it to individual records.
Understanding how to enable security for Azure Data Lake.
The security model in Azure Data Lake Storage supports both RBAC and ACLs. Azure role assignments are evaluated first. They take priority over any ACL assignments.
Understanding how to configure a hierarchical namespace for Azure Data Lake.
In today’s data-driven business landscape, organizations generate unprecedented volumes of information every second. The ability to transform this raw data into actionable insights has become the difference between market leaders and followers.
Automate importing data from Excel to SharePoint list using Power Automate.
Use Azure AI Foundry to fine-tune a language model, create and apply content filters.
Use Azure AI Foundry to fine-tune a language model, create and apply content filters.
Use Azure AI Foundry to integrate custom data using RAG into a generative AI app.
Use Azure AI Foundry portal’s prompt flow to create a custom chat app that uses a user prompt and chat history as inputs, and uses a GPT model from Azure OpenAI to generate an output.
Use the Phi-4-multimodal-instruct generative AI model to generate responses to prompts that include text, images, and audio.
Use Azure AI Foundry portal to choose, compare and deploy the models from model catalog.
Use Azure AI Foundry portal to create a hub and project to build an AI solution.
Understanding Azure AI Foundry in detail.
I saw this video on Azure AI Foundry on YouTube by John Savill.
As I was working with IMDb dataset, I noticed while decoding, we need to subtract 3 in the word index to get the corresponding word. Let’s understand why.
Discussing about different ways to create and manage Azure resources. There are many ways to interact with Azure resources and the right tool to choose depends on the requirements of a particular task.
If you’re preparing for your first data analyst role, these 50 interview questions and answers will help you get ready.
As I was working with IMDb dataset, I noticed while decoding, we need to subtract 3 in the word index to get the corresponding word. Let’s understand why.
Revising sampling distribution concept in statistics.
Use Azure AI Foundry portal to choose, compare and deploy the models from model catalog.
Use the Phi-4-multimodal-instruct generative AI model to generate responses to prompts that include text, images, and audio.
In this post, I share my experience on how I passed the PL-300 exam and the resources that I have followed to prepare for the exam.
Working with PostgreSQL databases often requires moving data in and out of tables, and PGAdmin makes this process seamless with its intuitive interface. If you have data in CSV or text files and want to bring it into your PostgreSQL table, here’s a clear, actionable guide to help you do it effortlessly.
I started learning Power Apps, and this is my first canvas app.
Automate importing data from Excel to SharePoint list using Power Automate.
This is the 15 days of DAX series that I have created on LinkedIn. Learn 50+ common DAX functions in Power BI with simple examples.
If you’re preparing for your first data analyst role, these 50 interview questions and answers will help you get ready.
In this post, I share my experience on how I passed the PL-300 exam and the resources that I have followed to prepare for the exam.
Use Azure AI Foundry portal’s prompt flow to create a custom chat app that uses a user prompt and chat history as inputs, and uses a GPT model from Azure OpenAI to generate an output.
Use Azure AI Foundry to integrate custom data using RAG into a generative AI app.
Discussing about different ways to create and manage Azure resources. There are many ways to interact with Azure resources and the right tool to choose depends on the requirements of a particular task.
Understanding how to create a resource lock in Azure.
Working with PostgreSQL databases often requires moving data in and out of tables, and PGAdmin makes this process seamless with its intuitive interface. If you have data in CSV or text files and want to bring it into your PostgreSQL table, here’s a clear, actionable guide to help you do it effortlessly.
This is the 15 days of DAX series that I have created on LinkedIn. Learn 50+ common DAX functions in Power BI with simple examples.
Automate importing data from Excel to SharePoint list using Power Automate.
Revising sampling distribution concept in statistics.
Understanding how to create a storage blob in Azure.
In this exercise, you use the Total Cost of Ownership (TCO) Calculator to compare the cost of running a sample workload in your datacenter versus on Azure.
As I was working with IMDb dataset, I noticed while decoding, we need to subtract 3 in the word index to get the corresponding word. Let’s understand why.
Understanding and implementing Azure VM