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Kanban is a popular framework used to implement agile and DevOps software development. It requires real-time communication of capacity and full transparency of work. Work items are represented visually on a Kanban board, allowing team members to see the state of every piece of work at any time.

A Kanban board is an agile project management tool designed to help visualize work, limit work-in-progress, and maximize efficiency (or flow).

It can help both agile and DevOps teams establish order in their daily work. Kanban boards use cards, columns, and continuous improvement to help technology and service teams commit to the right amount of work, and get it done!

This course will help you explore how working on an Agile project using Kanban has benefits for your development team, your end users, and your organization as a whole.

We will identify various process flow related issues including too much work in progress, underutilization of resources, lengthy tasks, unequal sized tasks etc. using simple and easy to understand demonstrations on Kanban board.

We will not only identify these inefficiencies but also solve for the same by continuously improving the process flow using Kanban Board.

This course is ideal for software developers, project managers, software leadership, or anyone that would have an interest and gain benefit from running an Agile project and delivering maximum value early to your customers.

No prior experience is necessary to take this course. So, if even if you don’t know what Kanban is and the various principles and concepts under Kanban and Agile Project Management, not to worry.

We will cover all of these concepts from scratch.

Here is a list of the topics we will cover in this course:

  • Introduction to Kanban & Kanban Board

  • Finding Inefficiencies in the Process

  • Limiting Work in Progress

  • Under utilization of Resources

  • Unequal Sized Tasks

  • Marking the Tasks

  • Other Inefficiencies/Issues

Kanban Practices

  • Defining Done

  • Daily Stand up

  • Specifying Rules

I hope that you will enjoy the class, be challenged by it and learn a lot. The primary objective is to build a strong foundational knowledge of the principles of Kanban

It is suggested that you go through the course at a pace that makes sense for you. The topics build on each other, so it is better to slow down and really learn something than to just move on in order to keep up a certain pace.

So, I have the tools needed to get the job done. So, let’s do it, I’ll see you in class. All the best.

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Kanban is a popular framework used to implement agile and DevOps software development. It requires real-time communication of capacity and full transparency of work. Work items are represented visually on a Kanban board, allowing team members to see the state of every piece of work at any time.

A Kanban board is an agile project management tool designed to help visualize work, limit work-in-progress, and maximize efficiency (or flow).

It can help both agile and DevOps teams establish order in their daily work. Kanban boards use cards, columns, and continuous improvement to help technology and service teams commit to the right amount of work, and get it done!

This course will help you explore how working on an Agile project using Kanban has benefits for your development team, your end users, and your organization as a whole.

We will identify various process flow related issues including too much work in progress, underutilization of resources, lengthy tasks, unequal sized tasks etc. using simple and easy to understand demonstrations on Kanban board.

We will not only identify these inefficiencies but also solve for the same by continuously improving the process flow using Kanban Board.

This course is ideal for software developers, project managers, software leadership, or anyone that would have an interest and gain benefit from running an Agile project and delivering maximum value early to your customers.

No prior experience is necessary to take this course. So, if even if you don’t know what Kanban is and the various principles and concepts under Kanban and Agile Project Management, not to worry.

We will cover all of these concepts from scratch.

Here is a list of the topics we will cover in this course:

  • Introduction to Kanban & Kanban Board

  • Finding Inefficiencies in the Process

  • Limiting Work in Progress

  • Under utilization of Resources

  • Unequal Sized Tasks

  • Marking the Tasks

  • Other Inefficiencies/Issues

Kanban Practices

  • Defining Done

  • Daily Stand up

  • Specifying Rules

I hope that you will enjoy the class, be challenged by it and learn a lot. The primary objective is to build a strong foundational knowledge of the principles of Kanban

It is suggested that you go through the course at a pace that makes sense for you. The topics build on each other, so it is better to slow down and really learn something than to just move on in order to keep up a certain pace.

So, I have the tools needed to get the job done. So, let’s do it, I’ll see you in class. All the best.

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Dive into the depths of Azure and Large Language Model (LLM) applications with this comprehensive course. Starting with the initial setup of Azure account structures and resource groups, moving to the practical management of Azure Blob Storage, this course equips you with the essential skills to navigate and utilize Azure's extensive offerings.

We then delve into different vector stores, such as Azure Cognitive Search and PgVector, comparing their advantages and disadvantages. You will learn how to chunk raw data, embed it, and insert it into the vector store. A typical Retrieval Augmented Generation (RAG) process is performed on the vector store, primarily using Jupyter notebooks for this part of the course.

After covering the basics, we transition from notebooks to using docker-compose to locally spin up services. We'll delve deeply into how these services work.

The next step is deploying these services to the cloud, where we learn about new services like the Container Registry and App Service.

Once the Web Apps are set up, we implement an event-driven indexing process with Blob Triggers, the Event Grid, and Azure Functions to index documents upon changes in Blob Storage.

The final chapters cover basic security measures, such as setting up a firewall for the database and IP-based access restrictions.

This course is tailored for individuals with foundational knowledge of Python, Docker, and LangChain and is perfect for anyone looking to build real applications with a production-grade architecture, moving beyond simple playground apps with Streamlit.


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Dive into the depths of Azure and Large Language Model (LLM) applications with this comprehensive course. Starting with the initial setup of Azure account structures and resource groups, moving to the practical management of Azure Blob Storage, this course equips you with the essential skills to navigate and utilize Azure's extensive offerings.

We then delve into different vector stores, such as Azure Cognitive Search and PgVector, comparing their advantages and disadvantages. You will learn how to chunk raw data, embed it, and insert it into the vector store. A typical Retrieval Augmented Generation (RAG) process is performed on the vector store, primarily using Jupyter notebooks for this part of the course.

After covering the basics, we transition from notebooks to using docker-compose to locally spin up services. We'll delve deeply into how these services work.

The next step is deploying these services to the cloud, where we learn about new services like the Container Registry and App Service.

Once the Web Apps are set up, we implement an event-driven indexing process with Blob Triggers, the Event Grid, and Azure Functions to index documents upon changes in Blob Storage.

The final chapters cover basic security measures, such as setting up a firewall for the database and IP-based access restrictions.

This course is tailored for individuals with foundational knowledge of Python, Docker, and LangChain and is perfect for anyone looking to build real applications with a production-grade architecture, moving beyond simple playground apps with Streamlit.


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「GitHub Copilotを学ぼう!」は、人工知能(AI)でプログラミング作業を支援するツール「GitHub Copilot」の使い方を学ぶ講座です。

AIのサポートによるコーディングの効率化を、基礎から体験と共に学びます。

開発環境にVisual Studio Code、プログラミング言語には主にPythonを使用します。


Github Copilotは、AIを利用してコーディングの際にコードの補完や提案を行うツールです。

コードの文脈に基づいて、適切なコードを提案、生成することができます。

Python、JavaScript、TypeScript、Ruby、Go、C#、C++ など様々なプログラミング言語で利用可能です。


本講座では最初にGitHub Copilotの全体像を学んだ上で、環境設定、各機能、活用方法などについて、順を追って少しずつ学んでいきます。

AIの力を借りて、効率よく、そして楽しくコーディングできるようになりましょう。


講座の内容は以下の通りです。

Section1. GitHub Copilotの概要

→ GitHub Copilotの概要、および開発環境について学びます。

Section2. GitHub Copilotの様々な機能

→ GitHub Copilotが持つ様々な機能について学びます。

Section3. GitHub Copilotの活用

→ GitHub Copilotの様々な活用方法について学びます。

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「GitHub Copilotを学ぼう!」は、人工知能(AI)でプログラミング作業を支援するツール「GitHub Copilot」の使い方を学ぶ講座です。

AIのサポートによるコーディングの効率化を、基礎から体験と共に学びます。

開発環境にVisual Studio Code、プログラミング言語には主にPythonを使用します。


Github Copilotは、AIを利用してコーディングの際にコードの補完や提案を行うツールです。

コードの文脈に基づいて、適切なコードを提案、生成することができます。

Python、JavaScript、TypeScript、Ruby、Go、C#、C++ など様々なプログラミング言語で利用可能です。


本講座では最初にGitHub Copilotの全体像を学んだ上で、環境設定、各機能、活用方法などについて、順を追って少しずつ学んでいきます。

AIの力を借りて、効率よく、そして楽しくコーディングできるようになりましょう。


講座の内容は以下の通りです。

Section1. GitHub Copilotの概要

→ GitHub Copilotの概要、および開発環境について学びます。

Section2. GitHub Copilotの様々な機能

→ GitHub Copilotが持つ様々な機能について学びます。

Section3. GitHub Copilotの活用

→ GitHub Copilotの様々な活用方法について学びます。

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Become an AI Accelerated Engineer Using ChatGPT

Join ClanX's exciting course designed for engineers who want to get ahead in their careers using ChatGPT. This course is great for engineers at all levels, whether you're just starting out, looking to move up, or wanting to be a tech leader.


What's in the Course:


1. Getting Started: You'll begin by learning what the course is about and meeting your instructor, Mandar.

2. Learning to Use ChatGPT for Coding: You'll explore how to give ChatGPT the right instructions for coding and get hands-on experience.

3. Making Your Own AI Coding Projects: Learn how to decide what your project will do, use online tools (APIs), and put everything together using a tool called Next.js.

4. Improving Your Coding Skills: You'll get better at analyzing data, fixing coding bugs, and writing better code with ChatGPT's help.
5. Designing Web Pages with AI: Discover how to create web pages using ChatGPT, solve design problems, and make your pages look better.


What You Will Learn

  1. Basic and advanced ideas about giving ChatGPT the right instructions for coding.

  2. How to make coding projects easier and more efficient with AI.

  3. Skills in using online tools and understanding their responses.

  4. Basics and more about Next.js for building great projects.

  5. Creating and improving web pages and coding using AI.


Who this course is for:

  • New engineers just starting out.

  • Experienced engineers looking to advance.

  • Tech leaders aiming for bigger roles.

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Become an AI Accelerated Engineer Using ChatGPT

Join ClanX's exciting course designed for engineers who want to get ahead in their careers using ChatGPT. This course is great for engineers at all levels, whether you're just starting out, looking to move up, or wanting to be a tech leader.


What's in the Course:


1. Getting Started: You'll begin by learning what the course is about and meeting your instructor, Mandar.

2. Learning to Use ChatGPT for Coding: You'll explore how to give ChatGPT the right instructions for coding and get hands-on experience.

3. Making Your Own AI Coding Projects: Learn how to decide what your project will do, use online tools (APIs), and put everything together using a tool called Next.js.

4. Improving Your Coding Skills: You'll get better at analyzing data, fixing coding bugs, and writing better code with ChatGPT's help.
5. Designing Web Pages with AI: Discover how to create web pages using ChatGPT, solve design problems, and make your pages look better.


What You Will Learn

  1. Basic and advanced ideas about giving ChatGPT the right instructions for coding.

  2. How to make coding projects easier and more efficient with AI.

  3. Skills in using online tools and understanding their responses.

  4. Basics and more about Next.js for building great projects.

  5. Creating and improving web pages and coding using AI.


Who this course is for:

  • New engineers just starting out.

  • Experienced engineers looking to advance.

  • Tech leaders aiming for bigger roles.

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Are you ready to embark on a transformative journey to master DevOps with the power of AI and ChatGPT by your side? Welcome to the "AI/ChatGPT Assisted DevOps Mastery Blueprint" course, your roadmap to becoming a DevOps expert!

In today's fast-paced IT landscape, DevOps has emerged as the cornerstone of innovation and efficiency. Whether you're an IT fresher looking to kickstart your career, a seasoned professional seeking to level up, or someone in between, this course is designed to empower you with the knowledge and skills you need to thrive in the world of DevOps.

Here are the six powerful ways in which this course will guide you towards DevOps mastery:

  1. Learn and Understand Concepts: Gain a deep understanding of DevOps principles, methodologies, and best practices. Explore the core concepts that underpin DevOps success, equipping you with the knowledge to make informed decisions.

  2. Get Guidance on Tools and Technologies: Navigate the complex DevOps toolchain with ease. Discover the right tools for the right job, and learn how to leverage them effectively to streamline your workflows.

  3. Write Scripts and Automation Code: Unlock the magic of automation by mastering scripting and coding. Create scripts and automation code to automate routine tasks, improving efficiency and reliability.

  4. Automated Code Reviews and Optimization: Learn how to implement automated code reviews and optimizations. Enhance code quality and performance while reducing human error.

  5. Troubleshoot Issues & Perform Root Cause Analysis: Develop the skills to troubleshoot and resolve issues swiftly. Perform root cause analysis to identify and eliminate the source of problems, ensuring system reliability.

  6. Come up with Practice Project Ideas: Hone your practical skills by conceptualizing and implementing real-world DevOps projects. Apply your knowledge to create solutions that solve industry challenges, setting you apart as a DevOps expert.

Throughout this course, you'll also harness the power of AI and ChatGPT to accelerate your learning. Our AI-driven guidance will help you clarify concepts, prepare for interviews, complete quests and projects, and even review and optimize your code.

By the end of the "AI/ChatGPT Assisted DevOps Mastery Blueprint" course, you'll not only possess a strong foundation in DevOps but also the ability to tackle complex challenges and excel in your DevOps career. Join us on this journey, and let's unlock your full DevOps potential together. Enroll now and take the first step towards mastering DevOps with confidence!


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Are you ready to embark on a transformative journey to master DevOps with the power of AI and ChatGPT by your side? Welcome to the "AI/ChatGPT Assisted DevOps Mastery Blueprint" course, your roadmap to becoming a DevOps expert!

In today's fast-paced IT landscape, DevOps has emerged as the cornerstone of innovation and efficiency. Whether you're an IT fresher looking to kickstart your career, a seasoned professional seeking to level up, or someone in between, this course is designed to empower you with the knowledge and skills you need to thrive in the world of DevOps.

Here are the six powerful ways in which this course will guide you towards DevOps mastery:

  1. Learn and Understand Concepts: Gain a deep understanding of DevOps principles, methodologies, and best practices. Explore the core concepts that underpin DevOps success, equipping you with the knowledge to make informed decisions.

  2. Get Guidance on Tools and Technologies: Navigate the complex DevOps toolchain with ease. Discover the right tools for the right job, and learn how to leverage them effectively to streamline your workflows.

  3. Write Scripts and Automation Code: Unlock the magic of automation by mastering scripting and coding. Create scripts and automation code to automate routine tasks, improving efficiency and reliability.

  4. Automated Code Reviews and Optimization: Learn how to implement automated code reviews and optimizations. Enhance code quality and performance while reducing human error.

  5. Troubleshoot Issues & Perform Root Cause Analysis: Develop the skills to troubleshoot and resolve issues swiftly. Perform root cause analysis to identify and eliminate the source of problems, ensuring system reliability.

  6. Come up with Practice Project Ideas: Hone your practical skills by conceptualizing and implementing real-world DevOps projects. Apply your knowledge to create solutions that solve industry challenges, setting you apart as a DevOps expert.

Throughout this course, you'll also harness the power of AI and ChatGPT to accelerate your learning. Our AI-driven guidance will help you clarify concepts, prepare for interviews, complete quests and projects, and even review and optimize your code.

By the end of the "AI/ChatGPT Assisted DevOps Mastery Blueprint" course, you'll not only possess a strong foundation in DevOps but also the ability to tackle complex challenges and excel in your DevOps career. Join us on this journey, and let's unlock your full DevOps potential together. Enroll now and take the first step towards mastering DevOps with confidence!