Don’t miss this 18 -part Microsoft artificial intelligence course!

Undoubtedly, learning the principles of artificial intelligence concepts are one of the most important things to do. Although we can work with chats without training, it is better to get better training to get better results. Microsoft has now released an 18 -part training course on artificial intelligence available online and free. We will introduce this course and its classes.

Microsoft artificial intelligence training course

Microsoft’s course with the name Generatic AI for Beginners Has been published and has 18 episodes:

Part 1: “Introducing AI and Long Language Models”

If you are recently familiar with the attractive world of productive artificial intelligence and large language models (LLM), it’s best to start with this video. In this section you will be more familiar with the general mechanism of productive artificial intelligence and its function in various industries.

Part Two: “Review and Compare Different Language Models”

This section explores large language models to get acquainted with different types of LLMs, their applications in different industries, and ways that businesses can benefit from.

Part Three: “Responsible use of productive artificial intelligence”

Working with artificial intelligence is very attractive, but you have to consider how you get responsible. In this section you will find out how you can use this advanced technology without drawing it into harmful aspects.

Part 4: “Understanding the Principles of Principles of Pram Engineering”

In this video, you will learn the principles of Praps Engineering. This section teaches you what is Pram Engineer and why it is important; It describes the components and how they are used and teach the best practices and techniques of Pram Computers.

Part 5: “Making Advanced Perfumes”

This video is more comprehensive and technical, making you deeper into the world of Pram Engineering. In those advanced techniques to optimize commands and improve the quality of artificial intelligence response.

Part 6: “Build Text Production Applications”

In the sixth part you will have a comprehensive tips on making text apps using Openai tools. This video deals with the main concepts of text production and gives you a step -by -step -by -step text production program. You will also understand more about concepts such as Pram and tokens.

Part 7: “Chat Chat apps”

In this advanced video, the details of making artificial intelligence -based chat apps are discussed. In this section you will find everything you need to know about the efficient integration of chat programs into different systems.

Part 8: “Build Vector Database Search Apps”

LLMs are not limited to chattes. They can be used to build embeddings for search applications. Embeddings are numerical display of data that are also known by vector and can be used to seariate the data.

Part 9: “Creating Image Productive App”

Large language models can also be used to produce image. In this section, you will be more familiar with the two popular Dall-E and Midjourney image models. There is also a video production app tutorial.

Part 10: “Creating Low Code Artificial Intelligence Apps”

This video deals with the program development platforms with the least coding and how to improve them with artificial intelligence.

Part 11: “Integrate Foreign Programs by Calling Function”

This video explains what the function call is and what it works. You will also learn how to call the function using Azure Openai and how to integrate the function of the function in the program.

Part 12: “UX design for artificial intelligence apps”

In this informative video, you will go into the world of user experience design (UX) for artificial intelligence programs.

Part Thirteen: “Security of the Artificial Intelligence App”

In the context of artificial intelligence systems, the risks and threats to artificial intelligence systems, and the methods of securing artificial intelligence systems are the subject.

Part 14: “Biography of the Biography of the Product Artificial Intelligence”

Artificial intelligence is an area that has a high level of evolution and you must be sure your artificial intelligence app is in line with advances and is reliable and strong. You must consider, evaluate and improve it. It is here that the cycle of productive artificial intelligence comes into action.

Episode 15: “Added generation recovery and database”

This section contains an introduction to RAG, what it is, and the reason for its use in artificial intelligence. It also gives you a practical example of how RAG merge is integrated into the program.

Episode 16: “Scholers and Hogingfis Models”

The world of permanent open source LLMs is evolving. The purpose of this section is to provide a deep look at the open source models. This section also covers the subject of the exact setting, but you can find a more accurate explanation in the eighteenth part. This section also takes a look at the open source models in Hugging Face and Azure ai Studio.

Part 17: “Artificial Intelligence Factors”

Artificial intelligence agents are an important step in the evolution of artificial intelligence. This technology helps developers build programs that allow LLMs to access different tools to do things on the Internet or apps. In this section you will be more familiar with this fascinating theme.

Eighteenth: “Precise adjustment of large language models”

What is Fine-Tune Language Models? When is precise adjustment when and why is it useful? How can I adjust the trained model carefully? If you have such questions, this is for you.

As the name implies, this comprehensive period begins with basic and basic concepts and reaches more complex topics. This course is suitable for all artificial intelligence enthusiasts with any knowledge. Of course, some courses, such as making apps (from the sixth to eighteenth period), are more suitable for those who are familiar with programming. Each episode is also a video and takes about 20 minutes.

Recently, with the prevalence of artificial intelligence chats, large companies have published free training courses. Openai launched its academy a few months ago where you can find useful courses. Google also released 8 completely free and fully applicable periods that can help you work with language models last month.