AI-900 Exam EP 02: Artificial Intelligence in Azure
Summary
TLDRIn this Microsoft Azure AI Fundamentals training, Sushant introduces AI concepts and Azure's AI capabilities. He explains AI as software mimicking human behaviors, covering areas like machine learning, anomaly detection, computer vision, NLP, and conversational AI. The video outlines Azure's AI services, including Azure Machine Learning for model management, Cognitive Services for building AI solutions, and Azure Bot Service for bot development. The trainer teases the next topic: responsible AI.
Takeaways
- 🧠 **AI Definition**: Artificial Intelligence is the creation of software that imitates human behaviors and capabilities.
- 💡 **Key AI Elements**: Includes decision making based on data, anomaly detection, interpreting visual input, understanding language, and engaging in dialogues.
- 📊 **Common AI Workloads**: Machine learning, anomaly detection, computer vision, natural language processing, and conversational AI.
- 🌟 **Machine Learning**: Foundation of AI systems, teaching computers to make predictions and draw conclusions from data.
- 🔍 **Anomaly Detection**: Ability to automatically detect errors or unusual activities within a system.
- 👀 **Computer Vision**: Interpreting the world through cameras, videos, and images.
- 📝 **Natural Language Processing (NLP)**: Enabling computers to interpret written or spoken language and respond accordingly.
- 🗣️ **Conversational AI**: Software agents, or bots, capable of participating in conversations.
- ☁️ **Azure AI Solutions**: Microsoft Azure provides a scalable, reliable cloud platform for AI solutions including data storage and compute resources.
- 🛠️ **Azure Machine Learning**: A platform for training, deploying, and managing machine learning models.
- 🤖 **Cognitive Services**: A suite of services for developers to build AI solutions.
- 🤗 **Azure Bot Service**: A cloud-based platform for developing and managing bots.
Q & A
What is the examination referred to in the script?
-The examination referred to in the script is called AI-900, which is a Microsoft Azure AI Fundamentals exam.
What is the main focus of the module being introduced in the script?
-The main focus of the module being introduced is an introduction to AI and its application within Microsoft Azure.
What does the trainer define artificial intelligence as?
-Artificial intelligence is defined as the creation of software that imitates human behaviors and capabilities.
What are the key elements of artificial intelligence mentioned in the script?
-The key elements of artificial intelligence mentioned are making decisions based on data, detecting anomalies, interpreting visual input, understanding written and spoken language, and engaging in dialogues and conversations.
What are the common artificial intelligence workloads listed in the script?
-The common artificial intelligence workloads listed are machine learning, anomaly detection, computer vision, natural language processing, and conversational AI.
What is machine learning's role in an AI system?
-Machine learning is often the foundation of an AI system and involves teaching a computer model to make predictions and draw conclusions from data.
What is anomaly detection in the context of AI?
-Anomaly detection is the capability to automatically detect errors or unusual activity within a system.
How does computer vision interpret the world?
-Computer vision interprets the world usually through cameras, videos, and images.
What is natural language processing (NLP)?
-Natural language processing is the capability for a computer to interpret written or spoken language and respond in kind.
What is conversational AI and what does it involve?
-Conversational AI is the capability of a software agent, usually referred to as a bot, to participate in a conversation.
What solutions does Microsoft Azure provide for creating artificial intelligence solutions?
-Microsoft Azure provides a scalable, reliable cloud platform for AI, including solutions for data storage, compute resources, and other services that can be integrated into AI solutions.
What are the key AI-related services in Azure mentioned in the script?
-The key AI-related services in Azure mentioned are Azure Machine Learning, Cognitive Services, and Azure Bot Service.
What is Azure Machine Learning?
-Azure Machine Learning is a platform for training, deploying, and managing machine learning models.
What does Cognitive Services include?
-Cognitive Services include a suite of services that developers can use to build AI solutions.
What is Azure Bot Service?
-Azure Bot Service is a cloud-based platform for developing and managing bots.
What will be discussed in the next video according to the script?
-In the next video, the topic of discussion will be 'responsible AI'.
Outlines
🤖 Introduction to AI and Azure AI Fundamentals
Sushan introduces himself as the trainer for the Microsoft Azure AI Fundamentals course, specifically the AI-900 examination. He announces the start of a new module focused on an introduction to AI. The first lesson of this module delves into artificial intelligence within Azure. Artificial Intelligence (AI) is defined as the creation of software that mimics human behaviors and capabilities, such as decision-making based on data, anomaly detection, interpreting visual input, understanding written and spoken language, and engaging in dialogues. The common AI workloads include machine learning, anomaly detection, computer vision, natural language processing, and conversational AI. These workloads will be explored in detail in upcoming lessons. Sushan also mentions that when designing an AI solution, these workloads may overlap, emphasizing the importance of understanding their interplay.
Mindmap
Keywords
💡Artificial Intelligence (AI)
💡Azure
💡Machine Learning
💡Anomaly Detection
💡Computer Vision
💡Natural Language Processing (NLP)
💡Conversational AI
💡Cognitive Services
💡Azure Machine Learning
💡Azure Bot Service
💡Responsible AI
Highlights
Introduction to AI and Azure
AI 900 examination overview
Definition of Artificial Intelligence
Key elements of AI
Common AI workloads
Machine Learning as the foundation of AI
Anomaly Detection capabilities
Computer Vision in AI
Natural Language Processing (NLP)
Conversational AI and Bots
Overlap of AI workloads in solutions
Microsoft Azure as a platform for AI
Azure's scalability and reliability for AI
Azure Machine Learning platform
Cognitive Services for building AI solutions
Azure Bot Service for managing bots
Responsible AI discussion in the next video
End of the introduction to AI in Azure
Transcripts
hey welcome back my name is sushan
sutish
and i am your trainer for this microsoft
azure ai fundamentals
the examination is called ai 900
we are starting a brand new module today
which is all about
introduction to ai and the first lesson
we are going to learn on this module
it's about artificial intelligence in
azure
so without wasting any more time let's
get into it
[Music]
so what is artificial intelligence
simply put artificial intelligence
is the creation of software that
imitates
human behaviors and capabilities
some of the key elements include making
decisions based on data
and past experience detecting anomalies
interpreting visual input understanding
written
and spoken language and engaging in
dialogues and conversations
some of the most common artificial
intelligence workloads are
machine learning anomaly detection
computer vision natural language
processing
and conversational ai so let's look into
those in detail
so what you see on this slide is some of
the common workloads or areas of ai
let's start with machine learning
machine learning is often the foundation
of an ai system and is the way we teach
a computer model to make prediction and
draw conclusion from data
what about anomaly detection
anomaly detection is the capability to
automatically detect errors
or unusual activity in a system
computer vision is the capability of
software
to interpret the world usually through
cameras videos and images
natural language processing or nlp
is the capability for a computer to
interpret written or spoken language
and respond in kind
and the last one is conversational ai
conversational ai is the capability of a
software agent
usually referred to as a bot to
participate in a conversation
we will explore each of these workloads
in detail in the coming slides and
coming videos
so please keep that in mind when you
design
an ai solution many of these workloads
may overlap
so let's have a look at what are the
solutions available within microsoft
azure
which can help you create artificial
intelligence solutions
microsoft azure provides a scalable
reliable cloud platform for ai
which include the solution for your data
storage
your compute resources and plenty other
services
which you can integrate with your
solution
so let's have a look at some of the key
ai related services in azure
again we will go in detail about these
topics
in the coming videos so let me introduce
you to these solutions
the first one is azure machine learning
this is a platform for training
deploying
and managing machine learning models
the second one is cognitive services
cognitive services include a suite of
services
developers can use to build ai solutions
the last not the least is azure bot
service
this is a cloud-based platform for
developing and managing bots
so now i have introduced you to what is
artificial intelligence
and what are the solution available
within azure
in the next video we're going to talk
about what
is responsible ai so i will see you in
the next video
till then take care
you
Посмотреть больше похожих видео
AZ-900 Episode 16 | Azure Artificial Intelligence (AI) Services | Machine Learning Studio & Service
AI-900 Exam EP 03: Responsible AI
Introduction to Generative AI
Starting Generative AI On Cloud New Series- AWS And Azure
AZ-900 Episode 15 | Azure Big Data & Analytics Services | Synapse, HDInsight, Databricks
Full Keynote: Satya Nadella at Microsoft Build 2024
5.0 / 5 (0 votes)