L'Intelligenza Artificiale sta prendendo sempre più piede nel mondo moderno. Ma non tutti sono in grado di capire come sfruttare i Promt a proprio volere, come creare grafiche, testi, immagini, video ed audio a proprio piacimento. In questo corso ti mostrerò tutti i tool in rete per creare contenuti in Digitale in modo del tutto gratuito:
Tutti i tool e siti che mostrerò saranno free to use, ossia gratuiti da usare. Non dovrai spendere un centesimo per usare questi strumenti.
Nel mio Corso di Intelligenza Artificiale troverai tutti i modelli e tutte le spiegazioni per farti vedere nel dettaglio come si usa ogni singolo strumento. Trovare un corso del genere è veramente difficile, perché ci si può facilmente perdere nella miriade di strumenti e Guru in rete.
Qui dentro invece troverai tutti gli elementi divisi in categorie: AI per creare foto, Ai per creare Video, Ai per generare testi, affrontare l'uso corretto dei ChatBot, Ai per generare Audio e voci famose italiane e non. Tutto in maniera semplice, spiegata semplice e gratuita.
Nel corso trovi davvero di tutto. Non hai bisogno di andare a cercare informazioni a destra e a sinistra: troverai tutte le indicazioni all'interno del mio corso Corso Intelligenza Artificiale: Impara a Gestire e Sfruttare l'AI nel 2024
This course goes through all of the skills required for the Microsoft Applied Skills: Build an Azure AI Vision solution.
This can also help with Microsoft AI-102 "Designing and Implementing a Microsoft Azure AI Solution" exam, with "Implement computer vision solutions".
In this 2½ hour course we’ll cover the skills that you need for the Microsoft Applied Skills credential for Azure AI Vision.
The tasks that you need to perform to get this skill are:
Create a computer vision resource and analyze images. We’ll create a computer vision resource in a free Azure subscription, and use it to analyze images. We’ll create captions and dense captions, looking at the results in text and in JSON format, before looking at other features.
Create, train, evaluate and consume a custom image analysis model. After that, we’ll create a custom image analysis model. We will train it to recognise three different types of products, and then test it so that it can identify them in new photos.
Programming in C#. Finally, we’ll find out how to analyse images in code. We’ll use Visual Studio and customise code to connect to both the computer vision and the custom image resources, and use them to analyse images and return the analysis.
We’ll go through several practical examples, so you can see how you can analyse your own images.
By the end of the course, you'll be much more confident about using building an Azure AI Vision solution and perhaps even take the official Microsoft assessment. That would look great on your CV or resume.
This course goes through all of the skills required for the Microsoft Applied Skills: Build an Azure AI Vision solution.
This can also help with Microsoft AI-102 "Designing and Implementing a Microsoft Azure AI Solution" exam, with "Implement computer vision solutions".
In this 2½ hour course we’ll cover the skills that you need for the Microsoft Applied Skills credential for Azure AI Vision.
The tasks that you need to perform to get this skill are:
Create a computer vision resource and analyze images. We’ll create a computer vision resource in a free Azure subscription, and use it to analyze images. We’ll create captions and dense captions, looking at the results in text and in JSON format, before looking at other features.
Create, train, evaluate and consume a custom image analysis model. After that, we’ll create a custom image analysis model. We will train it to recognise three different types of products, and then test it so that it can identify them in new photos.
Programming in C#. Finally, we’ll find out how to analyse images in code. We’ll use Visual Studio and customise code to connect to both the computer vision and the custom image resources, and use them to analyse images and return the analysis.
We’ll go through several practical examples, so you can see how you can analyse your own images.
By the end of the course, you'll be much more confident about using building an Azure AI Vision solution and perhaps even take the official Microsoft assessment. That would look great on your CV or resume.
Welcome to our comprehensive practice exams course designed to equip you with the winning advantage on your path to achieving Microsoft Azure AI Fundamentals - AI-900 certification!
Our meticulously crafted course mirrors the real exam experience, offering questions that align with the tone and style of the actual test. Each question is accompanied by detailed explanations, diagrams, and reference links, ensuring a deep understanding of all domains covered in the AI-900 exam.
Rest assured, our expertly curated content draws extensively from Microsoft documentation, providing you with a thorough grasp of AI and machine learning concepts essential for the exam.
Our aim is to be your ultimate resource for success. We want you to confidently cross the finish line, fully prepared to conquer the AI-900 exam.
Key Features of our Course:
Thorough Coverage: Our question bank spans all four categories of the AI-900 certification exam, ensuring proficiency in AI workloads, machine learning principles, computer vision, and Natural Language Processing (NLP) workloads on Azure.
Exam Simulation: Our practice tests closely replicate the real exam format with 35-50 questions, including various question types such as single select, multiple select, Yes/No, Drag and Drop, Select from Drop-down, and True/False.
Flexibility and Support: Retake exams as needed, and our mobile-compatible course allows convenient learning on the go. Dedicated instructors are available for support and answering queries.
Money-Back Guarantee: Confident in our course's quality, we offer a 30-day money-back guarantee for your satisfaction.
Enroll now to embark on a fulfilling journey toward AI-900 certification. Prepare with confidence, excel in the exam, and delve into the exciting realm of AI and machine learning on Microsoft Azure. Happy learning and best of luck for your Microsoft Azure AI Fundamentals - AI-900 exam!
Practice Test Content Areas:
AI Workloads and Considerations (15-20%)
Fundamental Principles of Machine Learning (30-35%)
Introduction to Azure AI Services (20-25%)
Introduction to Computer Vision (15-20%)
Introduction to Natural Language Processing (15-20%)
Welcome to our comprehensive practice exams course designed to equip you with the winning advantage on your path to achieving Microsoft Azure AI Fundamentals - AI-900 certification!
Our meticulously crafted course mirrors the real exam experience, offering questions that align with the tone and style of the actual test. Each question is accompanied by detailed explanations, diagrams, and reference links, ensuring a deep understanding of all domains covered in the AI-900 exam.
Rest assured, our expertly curated content draws extensively from Microsoft documentation, providing you with a thorough grasp of AI and machine learning concepts essential for the exam.
Our aim is to be your ultimate resource for success. We want you to confidently cross the finish line, fully prepared to conquer the AI-900 exam.
Key Features of our Course:
Thorough Coverage: Our question bank spans all four categories of the AI-900 certification exam, ensuring proficiency in AI workloads, machine learning principles, computer vision, and Natural Language Processing (NLP) workloads on Azure.
Exam Simulation: Our practice tests closely replicate the real exam format with 35-50 questions, including various question types such as single select, multiple select, Yes/No, Drag and Drop, Select from Drop-down, and True/False.
Flexibility and Support: Retake exams as needed, and our mobile-compatible course allows convenient learning on the go. Dedicated instructors are available for support and answering queries.
Money-Back Guarantee: Confident in our course's quality, we offer a 30-day money-back guarantee for your satisfaction.
Enroll now to embark on a fulfilling journey toward AI-900 certification. Prepare with confidence, excel in the exam, and delve into the exciting realm of AI and machine learning on Microsoft Azure. Happy learning and best of luck for your Microsoft Azure AI Fundamentals - AI-900 exam!
Practice Test Content Areas:
AI Workloads and Considerations (15-20%)
Fundamental Principles of Machine Learning (30-35%)
Introduction to Azure AI Services (20-25%)
Introduction to Computer Vision (15-20%)
Introduction to Natural Language Processing (15-20%)
This course will get you up and running quickly on Amazon Bedrock and Generative AI. Whether you are a developer, DevOps/MLOps engineer, business analyst, scrum master, or manager, this course is for you.
Start with no experience or understanding of Generative AI and leverage your current skillset or knowledge base to begin creating with Generative AI.
Understand and quickly take advantage of the incredible opportunity of Generative AI, that is quickly moving towards us.
If you are already using another Generative AI framework, rapidly move over and start using Bedrock, from AWS, the world's #1 cloud provider.
This course covers:
The incredible upcoming opportunity of Generative AI
The Difference between Regular AI and Generative AI
Overview of Amazon Bedrock
AWS Bedrock Setup, Pricing, and Model Access
Creating an AWS Account
Installing the AWS CLI and getting Programmatic Access to access the APIs
Foundation Model Access
Foundation Model Pricing
AWS Bedrock Playgrounds including Text, Image, and Chat Playgrounds
Differences between Text Playground and Chat Playground
Inference Parameters
Foundation Models
Foundation Model Examples
Python Introduction and Setup
Integrating AWS Bedrock APIs into a software application using Python
This is a hands-on course created to help the user to quickly understand and become productive with Amazon Bedrock and Generative AI.
Take advantage of the incredible Generative AI opportunity and get this course now.
This course will get you up and running quickly on Amazon Bedrock and Generative AI. Whether you are a developer, DevOps/MLOps engineer, business analyst, scrum master, or manager, this course is for you.
Start with no experience or understanding of Generative AI and leverage your current skillset or knowledge base to begin creating with Generative AI.
Understand and quickly take advantage of the incredible opportunity of Generative AI, that is quickly moving towards us.
If you are already using another Generative AI framework, rapidly move over and start using Bedrock, from AWS, the world's #1 cloud provider.
This course covers:
The incredible upcoming opportunity of Generative AI
The Difference between Regular AI and Generative AI
Overview of Amazon Bedrock
AWS Bedrock Setup, Pricing, and Model Access
Creating an AWS Account
Installing the AWS CLI and getting Programmatic Access to access the APIs
Foundation Model Access
Foundation Model Pricing
AWS Bedrock Playgrounds including Text, Image, and Chat Playgrounds
Differences between Text Playground and Chat Playground
Inference Parameters
Foundation Models
Foundation Model Examples
Python Introduction and Setup
Integrating AWS Bedrock APIs into a software application using Python
This is a hands-on course created to help the user to quickly understand and become productive with Amazon Bedrock and Generative AI.
Take advantage of the incredible Generative AI opportunity and get this course now.
AI-900: Microsoft Azure AI Fundamentals is a comprehensive course designed to provide individuals with a solid foundation in the field of artificial intelligence (AI) and its applications in the Microsoft Azure platform. This course is ideal for beginners who are interested in understanding the fundamental concepts of AI and how it can be leveraged to solve real-world problems.
This Practice Exam covers a wide range of topics, including the basics of AI, machine learning, and deep learning. Participants will learn about the different types of AI workloads and how they can be implemented using Azure AI services. They will also gain insights into the ethical considerations and responsible AI practices that need to be taken into account when developing AI solutions.
Through a combination of lectures, hands-on labs, and practical exercises, participants will acquire the necessary skills to design and implement AI solutions using Azure AI services. They will learn how to use Azure Cognitive Services to build intelligent applications that can understand, analyze, and interpret human language, images, and videos. Additionally, participants will gain knowledge on how to train and deploy machine learning models using Azure Machine Learning service.
Overall, the AI-900: Microsoft Azure AI Fundamentals course provides a comprehensive introduction to AI and its applications in the Microsoft Azure platform. By the end of the course, participants will have a solid understanding of the fundamental concepts of AI and the practical skills to develop AI solutions using Azure AI services. Whether you are a developer, data scientist, or IT professional, this course will equip you with the knowledge and skills needed to leverage the power of AI in your projects and drive innovation in your organization.
AI-900 : Microsoft Azure AI Fundamentals Exam details :
Exam Name: Microsoft Certified - Azure AI Fundamentals
Exam Code: AI-900
Exam Price: $99 (USD)
Number of Questions: Maximum of 40-60 questions,
Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,
Length of Test: 60 Minutes. The exam is available in English and Japanese languages.
Passing Score: 700 / 1000
Languages : English, Japanese, Korean, and Simplified Chinese
Schedule Exam : Pearson VUE
AI-900 : Microsoft Azure AI Fundamentals Certification Exams skill questions:
Skill Measurement Exam Topics:-
Describe Artificial Intelligence workloads and considerations (20–25%)
Describe fundamental principles of machine learning on Azure (25–30%)
Describe features of computer vision workloads on Azure (15–20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)
##) Describe Artificial Intelligence workloads and considerations (20–25%)
Identify features of common AI workloads
Identify features of anomaly detection workloads
Identify computer vision workloads
Identify natural language processing workloads
Identify knowledge mining workloads
Identify guiding principles for responsible AI
Describe considerations for fairness in an AI solution
Describe considerations for reliability and safety in an AI solution
Describe considerations for privacy and security in an AI solution
Describe considerations for inclusiveness in an AI solution
Describe considerations for transparency in an AI solution
Describe considerations for accountability in an AI solution
##) Describe fundamental principles of machine learning on Azure (25–30%)
Identify common machine learning types
Identify regression machine learning scenarios
Identify classification machine learning scenarios
Identify clustering machine learning scenarios
Describe core machine learning concepts
Identify features and labels in a dataset for machine learning
Describe how training and validation datasets are used in machine learning
Describe capabilities of visual tools in Azure Machine Learning Studio
Automated machine learning
Azure Machine Learning designer
##) Describe features of computer vision workloads on Azure (15–20%)
Identify common types of computer vision solution
Identify features of image classification solutions
Identify features of object detection solutions
Identify features of optical character recognition solutions
Identify features of facial detection and facial analysis solutions
Identify Azure tools and services for computer vision tasks
Identify capabilities of the Computer Vision service
Identify capabilities of the Custom Vision service
Identify capabilities of the Face service
Identify capabilities of the Form Recognizer service
##) Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)
Identify features of common NLP Workload Scenarios
Identify features and uses for key phrase extraction
Identify features and uses for entity recognition
Identify features and uses for sentiment analysis
Identify features and uses for language modeling
Identify features and uses for speech recognition and synthesis
Identify features and uses for translation
Identify Azure tools and services for NLP workloads
Identify capabilities of the Language service
Identify capabilities of the Speech service
Identify capabilities of the Translator service
Identify considerations for conversational AI solutions on Azure
Identify features and uses for bots
Identify capabilities of Power Virtual Agents and the Azure Bot service
Microsoft Azure AI Fundamentals provides a robust and comprehensive platform for businesses and developers to leverage artificial intelligence capabilities. With services like Azure Machine Learning, Azure Cognitive Services, Azure Bot Services, and Azure Search, businesses can accelerate innovation, automate processes, and gain valuable insights. By embracing Microsoft Azure AI Fundamentals, organizations can stay ahead of the competition and unlock the full potential of AI technologies.
AI-900: Microsoft Azure AI Fundamentals is a comprehensive course designed to provide individuals with a solid foundation in the field of artificial intelligence (AI) and its applications in the Microsoft Azure platform. This course is ideal for beginners who are interested in understanding the fundamental concepts of AI and how it can be leveraged to solve real-world problems.
This Practice Exam covers a wide range of topics, including the basics of AI, machine learning, and deep learning. Participants will learn about the different types of AI workloads and how they can be implemented using Azure AI services. They will also gain insights into the ethical considerations and responsible AI practices that need to be taken into account when developing AI solutions.
Through a combination of lectures, hands-on labs, and practical exercises, participants will acquire the necessary skills to design and implement AI solutions using Azure AI services. They will learn how to use Azure Cognitive Services to build intelligent applications that can understand, analyze, and interpret human language, images, and videos. Additionally, participants will gain knowledge on how to train and deploy machine learning models using Azure Machine Learning service.
Overall, the AI-900: Microsoft Azure AI Fundamentals course provides a comprehensive introduction to AI and its applications in the Microsoft Azure platform. By the end of the course, participants will have a solid understanding of the fundamental concepts of AI and the practical skills to develop AI solutions using Azure AI services. Whether you are a developer, data scientist, or IT professional, this course will equip you with the knowledge and skills needed to leverage the power of AI in your projects and drive innovation in your organization.
AI-900 : Microsoft Azure AI Fundamentals Exam details :
Exam Name: Microsoft Certified - Azure AI Fundamentals
Exam Code: AI-900
Exam Price: $99 (USD)
Number of Questions: Maximum of 40-60 questions,
Type of Questions: Multiple Choice Questions (single and multiple response), drag and drops and performance-based,
Length of Test: 60 Minutes. The exam is available in English and Japanese languages.
Passing Score: 700 / 1000
Languages : English, Japanese, Korean, and Simplified Chinese
Schedule Exam : Pearson VUE
AI-900 : Microsoft Azure AI Fundamentals Certification Exams skill questions:
Skill Measurement Exam Topics:-
Describe Artificial Intelligence workloads and considerations (20–25%)
Describe fundamental principles of machine learning on Azure (25–30%)
Describe features of computer vision workloads on Azure (15–20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)
##) Describe Artificial Intelligence workloads and considerations (20–25%)
Identify features of common AI workloads
Identify features of anomaly detection workloads
Identify computer vision workloads
Identify natural language processing workloads
Identify knowledge mining workloads
Identify guiding principles for responsible AI
Describe considerations for fairness in an AI solution
Describe considerations for reliability and safety in an AI solution
Describe considerations for privacy and security in an AI solution
Describe considerations for inclusiveness in an AI solution
Describe considerations for transparency in an AI solution
Describe considerations for accountability in an AI solution
##) Describe fundamental principles of machine learning on Azure (25–30%)
Identify common machine learning types
Identify regression machine learning scenarios
Identify classification machine learning scenarios
Identify clustering machine learning scenarios
Describe core machine learning concepts
Identify features and labels in a dataset for machine learning
Describe how training and validation datasets are used in machine learning
Describe capabilities of visual tools in Azure Machine Learning Studio
Automated machine learning
Azure Machine Learning designer
##) Describe features of computer vision workloads on Azure (15–20%)
Identify common types of computer vision solution
Identify features of image classification solutions
Identify features of object detection solutions
Identify features of optical character recognition solutions
Identify features of facial detection and facial analysis solutions
Identify Azure tools and services for computer vision tasks
Identify capabilities of the Computer Vision service
Identify capabilities of the Custom Vision service
Identify capabilities of the Face service
Identify capabilities of the Form Recognizer service
##) Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)
Identify features of common NLP Workload Scenarios
Identify features and uses for key phrase extraction
Identify features and uses for entity recognition
Identify features and uses for sentiment analysis
Identify features and uses for language modeling
Identify features and uses for speech recognition and synthesis
Identify features and uses for translation
Identify Azure tools and services for NLP workloads
Identify capabilities of the Language service
Identify capabilities of the Speech service
Identify capabilities of the Translator service
Identify considerations for conversational AI solutions on Azure
Identify features and uses for bots
Identify capabilities of Power Virtual Agents and the Azure Bot service
Microsoft Azure AI Fundamentals provides a robust and comprehensive platform for businesses and developers to leverage artificial intelligence capabilities. With services like Azure Machine Learning, Azure Cognitive Services, Azure Bot Services, and Azure Search, businesses can accelerate innovation, automate processes, and gain valuable insights. By embracing Microsoft Azure AI Fundamentals, organizations can stay ahead of the competition and unlock the full potential of AI technologies.
Przekraczaj Granice Możliwości z Chat GPT 4.0 Plus i Chat GPT Team – Twój Klucz do Sukcesu!
Witaj w świecie, gdzie Twoje możliwości są nieograniczone! W naszym kursie odkryjesz tajniki i pełen potencjał Chat GPT 4.0 Plus oraz Chat GPT Team. Niezależnie od tego, czy szukasz sposobów na optymalizację pracy, rozwój biznesu, czy ulepszenie codziennych zadań, to szkolenie otworzy przed Tobą nowe horyzonty.
Chat GPT Plus: Chat GPT Plus to zaawansowana, płatna wersja standardowego modelu Chat GPT oferowana przez OpenAI. Zazwyczaj zapewnia użytkownikom szereg ulepszeń w stosunku do darmowej wersji, takich jak szybsze czasy odpowiedzi, priorytetowy dostęp nawet podczas dużego obciążenia serwerów i dostęp do najnowszych aktualizacji oraz funkcji. Chat GPT Plus jest skierowany głównie do indywidualnych użytkowników, którzy szukają bardziej wydajnej i zaawansowanej wersji narzędzia.
Chat GPT Team: Chat GPT Team to wariant Chat GPT zaprojektowany specjalnie z myślą o zespołach i organizacjach. Ta wersja oferuje funkcje dostosowane do potrzeb korporacyjnych, takie jak możliwość współdzielenia, zarządzanie wieloma użytkownikami, zaawansowane opcje konfiguracji i integracji z istniejącymi systemami korporacyjnymi. Chat GPT Team jest idealnym rozwiązaniem dla firm i organizacji, które chcą wykorzystać możliwości sztucznej inteligencji do optymalizacji pracy zespołowej, automatyzacji procesów biznesowych i innowacji.
Co znajdziesz w kursie?
Zrozumienie Potęgi Chat GPT 4.0 Plus: Dowiesz się, jak wykorzystać najnowsze funkcje tej zaawansowanej technologii do generowania kreatywnych treści, automatyzacji zadań i znacznie więcej.
Najnowsze Trendy w AI: Bądź na bieżąco z ewolucją technologii – jak tylko pojawi się nowa wersja, będziesz pierwszy, który o niej usłyszy!
Rozwój Osobisty i Zawodowy: Odkryj, jak Chat GPT 4.0 może wspierać Twój rozwój, pomagając w osiągnięciu osobistych i zawodowych celów.
Praktyczne Porady: Nauczysz się, jak prawidłowo korzystać z Chat GPT 4.0, respektując prawa autorskie i etykę cyfrową.
Nasz kurs to mieszanka teorii i praktyki: Przygotowaliśmy dla Ciebie intuicyjne, angażujące materiały szkoleniowe, które sprawią, że nauka stanie się Twoją pasją.
Dla kogo jest ten kurs? Nasz kurs jest idealny dla wszystkich – od początkujących po zaawansowanych. Nie wymagamy wcześniejszego doświadczenia w AI. Jeśli jesteś nowy w tej dziedzinie, zapraszamy również na nasz wstępny kurs "Zostań Mistrzem AI: ChatGPT, Bard, Bing, Midjourney w Akcji!", który przygotuje Cię do pełnego wykorzystania potencjału Chat GPT Plus i Team.
Podejmij wyzwanie i dołącz do nas! Z Chat GPT Plus i Team odkryjesz, jak technologia może stać się Twoim największym sojusznikiem w dążeniu do sukcesu, zarówno w pracy, jak i w życiu codziennym.
Nie czekaj! Zacznij swoją podróż ku przyszłości już dziś!