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Exam Number : AI-900
Exam Name : Microsoft Azure AI Fundamentals
Vendor Name : Microsoft
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AI-900 Exam Format | AI-900 Course Contents | AI-900 Course Outline | AI-900 Exam Syllabus | AI-900 Exam Objectives

EXAM NAME : Microsoft Azure AI Fundamentals
Prove that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; features of Natural Language Processing (NLP) workloads on Azure; and features of conversational AI workloads on Azure.

Candidates for the Azure AI Fundamentals certification should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.

This certification is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

This certification is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required;
however, some general programming knowledge or experience would be beneficial.

Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but its not a prerequisite for any of them.

Describe AI workloads and considerations

Describe fundamental principles of machine learning on Azure

Describe features of computer vision workloads on Azure

Describe features of Natural Language Processing (NLP) workloads on Azure

Describe features of conversational AI workloads on Azure

Module 1: Introduction to AI

In this module, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development.

Artificial Intelligence in Azure

Responsible AI

After completing this module you will be able to:

Describe Artificial Intelligence workloads and considerations

Module 2: Machine Learning

Machine learning is the foundation for modern AI solutions. In this module, you'll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.

Introduction to Machine Learning

Azure Machine Learning

After completing this module you will be able to:

Describe fundamental principles of machine learning on Azure

Module 3: Computer Vision

Computer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you'll explore multiple computer vision techniques and services.

Computer Vision Concepts

Computer Vision in Azure

After completing this module you will be able to:

Describe features of computer vision workloads on Azure

Module 4: Natural Language Processing

This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.

After completing this module you will be able to:

Describe features of Natural Language Processing (NLP) workloads on Azure

Module 5: Conversational AI

Conversational AI enables users to engage in a dialog with an AI agent, or bot, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.

Conversational AI Concepts

Conversational AI in Azure

After completing this module you will be able to:

Describe features of conversational AI workloads on Azure

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Microsoft AI education


12 school districts adopt UF-designed artificial intelligence education program

No result found, try new keyword!The program, which details show "system thinking" and engineering is part of the design of AI, initially launched in three public school districts last year but has now grown to 12. Those districts ...

Here are 6 stocks dominating the AI trade and 3 more that stand to benefit down the road

If you think you've completely missed the artificial intelligence trade, think again. Analysts at Goldman Sachs released a note to clients late Monday, looking at what they called "The (AI) trade after the trade." The research is meant to identify potential long-term beneficiaries of AI adoption, beyond this year's hype that has sent many of these big companies' stocks soaring year-to-date. The note starts off by discussing the three primary categories of the current AI trade: (1) enablers, those companies needed to build and run artificial intelligence; (2) hyperscalers, the cloud providers with the infrastructure to deliver AI to the masses; and (3) empowered users, those that leverage AI technology to enhance their businesses and increase user efficiency. The analysts later go into a more granular exam of which companies and sectors could see significant earnings boosts on the backs of these leaders as AI adoption increases. Starting with Goldman's three main AI categories, it's no surprise to find Club name Nvidia (NVDA) on the enabler list. Marvell Technology (MRVL), a former Club stock and current Bullpen stock, is also included. Artificial intelligence research would not be possible without the hardware (and in some cases software) that these companies develop. The biggest three cloud providers — Club holdings Amazon (AMZN), Microsoft (MSFT) and Alphabet (GOOGL) — are in the hyperscaler category. They rely on the enablers to support their cloud computing environments and AI research and development. These companies are also creating large language models, generative AI tools, and more to enhance their own offerings. Some examples: Amazon's purchase recommendations, ChatGPT from Microsoft-backed OpenAI, or Alphabet's AI-enhanced Google search. The empowered users include companies such as Club names Meta Platforms (META) and Salesforce (CRM). They don't run public clouds but leverage AI internally and offer tools to end users that make them better and more efficient. Meta, for example, has built AI tools that have increased engagement and helped ad buyers better target their ad campaigns. Salesforce's Einstein GPT is a generative AI model specialized for customer relationship management. At this point, the names noted above are pretty well known to investors as they have already begun to realize the benefits of AI implementation and seen their stocks rewarded. But, in addition to surveying the AI landscape, the Goldman note aims to answer the question: What is the trade after the trade? In other words, which kinds of companies can realize earnings upside in the future by leveraging the technology that those three groups provide? To get a sense of this, the analysts considered AI implementation from two angles: (1) the impact enhanced worker productivity could have on revenue, and (2) the impact AI could have if revenue was unchanged but labor costs were reduced as a result of AI implementation and automation. The common theme here is enhanced worker productivity; AI leading to revenue growth and lower labor costs, an obvious benefit to the bottom line. This work productivity focus indicates that the companies with the most to gain are those with high labor costs as a percentage of revenue and a high percentage of labor costs associated with roles that can be altered or replaced entirely by artificial intelligence. "Firms employing a large number of knowledge workers (e.g., financial, information, and other technical fields) and in administration-heavy sectors (e.g., education and healthcare) likely have the most to gain from AI adoption," the Goldman analysts said in their report. The universe used for this analysis was the Russell 1000 — and in their view, the "framework implies earnings for the median Russell 1000 stock could be 19% greater than the baseline via widespread AI adoption and increased labor productivity." For the typical Russell 1000 stock, the analysts said that "33% of the wage bill is potentially exposed to AI automation and labor costs currently represent 14% of total sales." They added, "The potential boost from higher sales would increase earnings by 11% and reduced labor costs would increase earnings by 26%, all else equal." Using this methodology, Goldman singled out several stocks in each market group, including Club names Amazon in the Consumer Discretionary sector and Costco (COST) in Consumer Staples. We agree with the Goldman analysts that the market has yet to think much beyond the obvious AI winners of the moment. They are taking the right approach by focusing on the impact AI could have on labor dynamics. In fact, members may recall that we conducted a similar analysis on Club holding Starbucks (SBUX), on the premise that companies with a large number of employees in roles that AI is already demonstrating an ability to disrupt are the low-hanging fruit for margin expansion opportunities. In our own analysis, we concluded that replacing an average of four workers per location (three baristas and one shift manager) with AI solutions could potentially expand the company-run store operating margin by about 4.7 percentage points and increase total operating profit by about $1.26 billion, a roughly 27% increase. The Goldman analysis increases our conviction that labor costs and their ability to be reduced via the implementation of AI is how investors need to be thinking if they are going to figure out the "trade after the trade." (Jim Cramer's Charitable Trust is long AMZN, MSFT, GOOGL, META, CRM, COST). See here for a full list of the stocks.) As a subscriber to the CNBC Investing Club with Jim Cramer, you will receive a trade alert before Jim makes a trade. Jim waits 45 minutes after sending a trade alert before buying or selling a stock in his charitable trust's portfolio. If Jim has talked about a stock on CNBC TV, he waits 72 hours after issuing the trade alert before executing the trade. THE ABOVE INVESTING CLUB INFORMATION IS SUBJECT TO OUR TERMS AND CONDITIONS AND PRIVACY POLICY , TOGETHER WITH OUR DISCLAIMER . NO FIDUCIARY OBLIGATION OR DUTY EXISTS, OR IS CREATED, BY VIRTUE OF YOUR RECEIPT OF ANY INFORMATION PROVIDED IN CONNECTION WITH THE INVESTING CLUB. NO SPECIFIC OUTCOME OR PROFIT IS GUARANTEED.

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If you think you've completely missed the artificial intelligence trade, think again.

How Women Can Adapt To AI Through Upskilling And Reskilling

CEO of Creative Duality and Co-Founder & CEO of Fyli.


We know that artificial intelligence and automation have undoubtedly brought about significant changes in the job market, leading to both opportunities and challenges for the workforce. With industries going through some major makeovers, some jobs are taking a bow, while new ones are stepping into the spotlight and asking for a whole new set of skills.

It’s been very interesting to learn about AI prompts, automation that can help save time in your business and even how AI can be used in graphics and design. After working in the design, marketing and luxury fashion spaces for more than a decade and spending many hours photo editing and designing campaigns, it’s been fascinating to see new technologies that can help streamline workflow and save money.

With that being said, AI is expected to replace 300 million full-time jobs over the course of the next decade, according to data from Goldman Sachs. And women, in particular, are feeling the AI job shakeup. Research by Kenan Institute found that, compared to men, 21% more women are exposed to automation. In this evolving landscape, women, like all individuals, are facing the need to adapt to AI to combat potential job loss. I believe upskilling and reskilling have become crucial pathways for women to thrive in the modern workforce.

It is also essential to recognize that there is a significant underrepresentation of women in STEM fields, which have become increasingly vital in the era of AI. This disparity can exacerbate the potential job loss for women in nontechnical roles, making it crucial for them to reskill and adapt to the evolving demands of the job market. Research by Microsoft found that “most girls become interested in STEM at the age of 11-and-a-half but this starts to wane by the age of 15.”

Through my company’s global community of early-stage female founders, we have had several discussions on which tools can be adopted and which workshops, webinars and conferences are best to learn about the latest AI technologies and their applications. Having a community of support to share resources and findings in AI has been crucial. All in all, I see AI as a captivating blend of awe-inspiring potential and daunting uncertainty. While some jobs have become redundant due to automation, new opportunities have emerged, especially in areas related to development, data analysis and human-AI interaction.

This experience has shown me that upskilling is no longer a one-time event but an ongoing process that needs to happen throughout one’s career. Women can take charge of their professional development to remain competitive by following these steps:

Explore your options for learning.

Online courses have helped make it easier for women, regardless of their geographical location or personal commitments, to upskill. My advice would be to start small by viewing some videos breaking down the basics of AI. Then, dive into free courses based upon your industry, join a local AI support or resource group and, finally, put your skills into use.

There are also organizations working to get more women and girls in STEM with the tools and resources they need, such as Girls Who Code, Black Girls Code, National Girls Collaborative Project and Girlstart. There are platforms and organizations that offer a wide range of courses as well, from basic AI concepts to advanced programming, enabling women to build skills at their own pace.

Shift your mindset.

It’s important for HR professionals and corporate leaders to shift their mindsets about AI. It doesn’t have to be one or the other, humans or artificial intelligence. Rather, I see AI as a way we can create added value and innovate in new ways. Speak to your employer about investing in your ongoing education for upskilling. Explain how it can add to your efficiency and overall productivity and free up your time for other projects.

And if you are a founder or CEO, now is the time to get your teams into programs that help them feel empowered and inspired by AI and its potential.

Develop your soft skills.

Another interesting area is in nurturing soft skills for human-AI collaboration. Empathy, creativity, critical thinking and emotional intelligence are attributes that machines cannot replicate, and these are areas that can be leveraged in roles that involve human-AI interaction, such as customer service, education and healthcare. Upskilling in communication, emotional intelligence and understanding AI’s limitations will enable women to collaborate effectively with AI and enhance its impact in various domains.

One of the ways my community has helped foster leadership and softer communication skills is by hosting workshops and roundtable forums. Founders are encouraged to make “asks,” contribute to each other’s current business needs, share personal stories of overcoming challenging situations and troubleshoot together as a community. The same technique can work for women wanting to improve their soft skills on their own time. By leaning into creativity by brainstorming and learning the art of “play,” they can become more prepared for human-AI collaboration.

The rise of AI presents both challenges and opportunities for women in the workforce. While there might be concerns about job displacement in certain industries, women can combat these challenges. Embracing lifelong learning, fostering diversity in tech and nurturing soft skills will enable women to adapt to the evolving job market and harness the potential of AI. By embracing AI as a tool for positive change and maintaining a growth mindset, women can shape the future of work, leverage technology to drive innovation and create a more equitable and inclusive job market for everyone.

Forbes Business Council is the foremost growth and networking organization for business owners and leaders. Do I qualify?


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