Undoubtedly, learning the principles of artificial ielligence concepts are one of the most importa 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 ielligence available online and free. We will iroduce this course and its classes.
Microsoft artificial ielligence training course
Microsoft’s course with the name Generatic AI for Beginners Has been published and has 18 episodes:
Part 1: “Iroducing AI and Long Language Models”
If you are recely familiar with the attractive world of productive artificial ielligence 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 ielligence and its function in various industries.
Part Two: “Review and Compare Differe Language Models”
This section explores large language models to get acquaied with differe types of LLMs, their applications in differe industries, and ways that businesses can benefit from.
Part Three: “Responsible use of productive artificial ielligence”
Working with artificial ielligence 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 io 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 importa; It describes the compones 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 io the world of Pram Engineering. In those advanced techniques to optimize commands and improve the quality of artificial ielligence 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 ielligence -based chat apps are discussed. In this section you will find everything you need to know about the efficie iegration of chat programs io differe 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 Ielligence Apps”
This video deals with the program developme platforms with the least coding and how to improve them with artificial ielligence.
Part 11: “Iegrate 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 iegrate the function of the function in the program.
Part 12: “UX design for artificial ielligence apps”
In this informative video, you will go io the world of user experience design (UX) for artificial ielligence programs.
Part Thirteen: “Security of the Artificial Ielligence App”
In the coext of artificial ielligence systems, the risks and threats to artificial ielligence systems, and the methods of securing artificial ielligence systems are the subject.
Part 14: “Biography of the Biography of the Product Artificial Ielligence”
Artificial ielligence is an area that has a high level of evolution and you must be sure your artificial ielligence 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 ielligence comes io action.
Episode 15: “Added generation recovery and database”
This section coains an iroduction to RAG, what it is, and the reason for its use in artificial ielligence. It also gives you a practical example of how RAG merge is iegrated io the program.
Episode 16: “Scholers and Hogingfis Models”
The world of permane 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 eighteeh part. This section also takes a look at the open source models in Hugging Face and Azure ai Studio.
Part 17: “Artificial Ielligence Factors”
Artificial ielligence ages are an importa step in the evolution of artificial ielligence. This technology helps developers build programs that allow LLMs to access differe tools to do things on the Iernet or apps. In this section you will be more familiar with this fascinating theme.
Eighteeh: “Precise adjustme of large language models”
What is Fine-Tune Language Models? When is precise adjustme 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 ielligence ehusiasts with any knowledge. Of course, some courses, such as making apps (from the sixth to eighteeh period), are more suitable for those who are familiar with programming. Each episode is also a video and takes about 20 minutes.
Recely, with the prevalence of artificial ielligence chats, large companies have published free training courses. Openai launched its academy a few mohs 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 moh.
