ND
Great learning resources that will be useful long after completing the course, concise presentations, and clear explanations of all topics
This course is designed for individuals at both an intermediate and beginner level, including data scientists, AI enthusiasts, and professionals seeking to harness the power of Azure for Large Language Models (LLMs). Tailored for those with foundational programming experience and familiarity with Azure basics, this comprehensive program takes you through a four-week journey. In the first week, you'll delve into Azure's AI services and the Azure portal, gaining insights into large language models, their functionalities, and strategies for risk mitigation. Subsequent weeks cover practical applications, including leveraging Azure Machine Learning, managing GPU quotas, deploying models, and utilizing the Azure OpenAI Service. As you progress, the course explores nuanced query crafting, Semantic Kernel implementation, and advanced strategies for optimizing interactions with LLMs within the Azure environment. The final week focuses on architectural patterns, deployment strategies, and hands-on application building using RAG, Azure services, and GitHub Actions workflows. Whether you're a data professional or AI enthusiast, this course equips you with the skills to deploy, optimize, and build robust large-scale applications leveraging Azure and Large Language Models.
ND
Great learning resources that will be useful long after completing the course, concise presentations, and clear explanations of all topics
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Of all the courses I took, I didn't like this one specifically. For one specific reason. It requires an Azure account. However, then I tried to create one, I was refused, because of my Revolut card. It is a so called IBAN discrimination policy by Microsoft. When I started asking questions "Why", it turns out this is done specifically by Microsoft so some guy could not waste their resources on 300 thousand dollars using prepaid card on 200 dollars. But if that's the case, the course should have used some other thing to suggest to learners, or warn them very explicitly on the dangers. After all - this is a learning course, students can make mistakes. If they make a mistake that will cause them to lose a lot of money - that's something problematic. This is the first course I see where you have not only have a subscription on Coursera itself, but also provide your credit card credentials to some third party like Microsoft.
Can't really do the labs without a paid Azure account. The 200$ Credit never materialized. Also, GitHub Actions Workflow and python coding was a distraction for many things that could be done simply through the Azure services in place. So many errors in deployment already so need to reduce the steps and ensure everything is in place. Because the mystery of where 'demo-index' was configured was never solved, I didn't know if my configs were wrong or I missed something as the errors are so unintelligible.
To be avoided - unstructured and uninformative
Out of date for many things ; i.e. doesn't match with current Azure screens
The libraries used are outdated and the code doesn't work on new libraries and the old ones aren't compatible with the new design of websites and how things work.
Great learning resources that will be useful long after completing the course, concise presentations, and clear explanations of all topics
good course
excelente
vgv
The course content is good, but found some other issues. The Graded Assignment that is there in Module 3 contains some questions from the content of Module 4 (for example, Container Registry) which is confusing because they haven't taught us this yet. Also, I found that there was some overlapping content from the 1st course in this specialization (Introduction to Generative AI) about the difference between Prompt Engineering, Fine Tuning etc. I honestly didn't expect that the University would copy the videos as it is from one course to another. If it was meant just for revision, there could have been a quick overview rather than going through the same videos again. But overall it was good, Alredo taught us really well. It was easy to follow and the Labs and Excercises were challenging and helped me understand the concepts really well.
what a good lecture.
The course meandered in a few areas, but was still informative
It is a good course if you have some strong problem solving skills. because some very important points are just briefly covered and discussed. The code is not directly applicable, and you need to develop the updated codes yours. You won't get much support from the course provider and the forum which seems lacking a moderator.
Unfortunately some of the material was outdated and it was very difficult to complete the practical tasks. Too much knowledge was assumed about credentials, environment variables, Github. I would have liked more step-by-step instructions
the course didn't age well, if the teaching is via ui, then at least they should updated to the latest microsoft version.
Very limited examples, and poor explanation.