The Oracle Cloud Infrastructure (OCI) AI Foundation Associate certification is for individuals who want to learn more about:
Common AI terminology includes machine learning, deep learning, data science, neural networks, etc.
OCI AI services and AI infrastructure
Generative AI basics, including LLM, GAN, and Transformers
AI and ML best practices
I published the course after I successfully passed the exam, and the practice questions contain each field that will be tested in the real exam. Because this course will prepare you for the exam, you won't be surprised by any of the fields. Do not hesitate and pass the exam with me, and I guarantee that you will succeed.
*6 reason why to buy the course*
1. I passed the exam with these questions with a score of 100 percent.
2. A detailed explanation of each question with a reference link to additional learning.
3. Each test contains questions covering all areas that may appear on the test. The test does not contain 60 questions on one topic.
4. No question is repeated in the tests. All 60 questions are unique and almost the same as in the exam.
5. If you have questions about the course, I will answer them within 24 hours.
6. 30 Day money-back guarantee Not satisfied? No worries. You can get a 100% refund within 30 days of your purchase, no questions asked. I would appreciate it if you could message me and let me know of the areas I can improve.
Exam Topics:
AI Concepts and Workloads
Understand the fundamental AI concepts and workloads
Machine Learning and Deep Learning
Explain the key concepts and terminologies of Machine Learning
Explain the key concepts and terminologies of Deep Learning
Identify common Machine Learning types
Generative AI and Large Language Models
Understand the fundamentals of Generative AI
Explain Large Language Model concepts
Explain the role of prompt engineering and fine-tuning in Generative AI
OCI AI Infrastructure and Services
Describe OCI AI Infrastructure
Describe OCI AI ServicesDescribe the OCI compliance structure
Exam Information:
Exam Title: Oracle Cloud Infrastructure 2023 AI Foundations Associate
Exam Number: 1Z0-1122-23
Format: Multiple Choice
Duration: 60 Minutes
Number of Questions: 30
Passing Score: 60%
Enroll today in the Oracle Cloud Infrastructure Mock Tests / Exams for lifetime access!
The Oracle Cloud Infrastructure (OCI) AI Foundation Associate certification is for individuals who want to learn more about:
Common AI terminology includes machine learning, deep learning, data science, neural networks, etc.
OCI AI services and AI infrastructure
Generative AI basics, including LLM, GAN, and Transformers
AI and ML best practices
I published the course after I successfully passed the exam, and the practice questions contain each field that will be tested in the real exam. Because this course will prepare you for the exam, you won't be surprised by any of the fields. Do not hesitate and pass the exam with me, and I guarantee that you will succeed.
*6 reason why to buy the course*
1. I passed the exam with these questions with a score of 100 percent.
2. A detailed explanation of each question with a reference link to additional learning.
3. Each test contains questions covering all areas that may appear on the test. The test does not contain 60 questions on one topic.
4. No question is repeated in the tests. All 60 questions are unique and almost the same as in the exam.
5. If you have questions about the course, I will answer them within 24 hours.
6. 30 Day money-back guarantee Not satisfied? No worries. You can get a 100% refund within 30 days of your purchase, no questions asked. I would appreciate it if you could message me and let me know of the areas I can improve.
Exam Topics:
AI Concepts and Workloads
Understand the fundamental AI concepts and workloads
Machine Learning and Deep Learning
Explain the key concepts and terminologies of Machine Learning
Explain the key concepts and terminologies of Deep Learning
Identify common Machine Learning types
Generative AI and Large Language Models
Understand the fundamentals of Generative AI
Explain Large Language Model concepts
Explain the role of prompt engineering and fine-tuning in Generative AI
OCI AI Infrastructure and Services
Describe OCI AI Infrastructure
Describe OCI AI ServicesDescribe the OCI compliance structure
Exam Information:
Exam Title: Oracle Cloud Infrastructure 2023 AI Foundations Associate
Exam Number: 1Z0-1122-23
Format: Multiple Choice
Duration: 60 Minutes
Number of Questions: 30
Passing Score: 60%
Enroll today in the Oracle Cloud Infrastructure Mock Tests / Exams for lifetime access!
La certification AI-900 est une certification de niveau fondamental vous permettant d'acquérir les bases indispensables pour maîtriser l'environnement d'Intelligence Artificielle de Microsoft Azure
La certification est basée sur 4 thématiques principales :
Une description complète des charges de travail et des considérations liées à l’Intelligence Artificielle
Une description détaillée des principes fondamentaux du Machine Learning sur Azure
Une description des caractéristiques des charges de travail de la vision par ordinateur sur Azure
Et enfin une description des charges de travail de traitement du langage naturel (NLP) sur Azure
Cette certification est à la portée de tout le monde et ne nécessite aucun prérequis ni de connaissances techniques particulières
Avec cette certification vous allez pouvoir valoriser votre connaissance approfondie de l'écosystème d'Intelligence Artificielle de Microsoft Azure et être en mesure d'apporter une plus-value à votre entreprise et de booster votre carrière
Ma formation respecte à 100% le programme officiel de Microsoft
En complément de la formation dispensée sur Udemy vous permettant d'acquérir toutes les connaissances requises pour obtenir votre certification AI-900, vous trouverez 4 tests complets de 40 questions
Les questions sont du niveau requis pour réussir la certification
Les 40 questions de chaque test respectent le pourcentage d'importance donnée à chaque partie par le programme officiel de Microsoft afin de vous garantir les mêmes conditions lors de l'examen
La certification AI-900 est une certification de niveau fondamental vous permettant d'acquérir les bases indispensables pour maîtriser l'environnement d'Intelligence Artificielle de Microsoft Azure
La certification est basée sur 4 thématiques principales :
Une description complète des charges de travail et des considérations liées à l’Intelligence Artificielle
Une description détaillée des principes fondamentaux du Machine Learning sur Azure
Une description des caractéristiques des charges de travail de la vision par ordinateur sur Azure
Et enfin une description des charges de travail de traitement du langage naturel (NLP) sur Azure
Cette certification est à la portée de tout le monde et ne nécessite aucun prérequis ni de connaissances techniques particulières
Avec cette certification vous allez pouvoir valoriser votre connaissance approfondie de l'écosystème d'Intelligence Artificielle de Microsoft Azure et être en mesure d'apporter une plus-value à votre entreprise et de booster votre carrière
Ma formation respecte à 100% le programme officiel de Microsoft
En complément de la formation dispensée sur Udemy vous permettant d'acquérir toutes les connaissances requises pour obtenir votre certification AI-900, vous trouverez 4 tests complets de 40 questions
Les questions sont du niveau requis pour réussir la certification
Les 40 questions de chaque test respectent le pourcentage d'importance donnée à chaque partie par le programme officiel de Microsoft afin de vous garantir les mêmes conditions lors de l'examen
THIS COURSE INCLUDES : Computer invention , Internet invention , AI first appear , AI skills , HOW Human thinks , AI Strategy , What makes human smart , What are the ways in which people think and learn about things? , Machine is better than humans in these aspects , Humans are better than a God in this thing , What is scientific research?
What are the main areas of research in artificial intelligence? , artificial general intelligence , artificial narrow intelligence, Neuromorphic chips, Automation , Autumns , Generative Adversarial Networks , Turing Test , Lobner Prize , Ways of representing knowledge , ) Expert Learning Systems
2) Semantic networks: this technique
Focuses on relationships and descriptive words of objects, such as a graph
Which is used to represent a network or semantic network
3) Decision tree or search tree (research and decision tree)
4) Neural networks – created by creating a copy of synthetic and similar networks of neurons in the brain and working in a similar way to them
rules-based or expert systems - Types and functions of neurons - (ANN) Artificial Neural Networks - Connectionism - ANN types
Feed Forward Neural Networks
Convolutional Neural Network (CNN)
Recurrent Neural Networks (RNN)
Radial Basis Function Neural Networks
Self-Organizing Map Neural Network
Modular Neural Network (MNN)
Agents
Rational Agent
Deep Learning , Connectionism , The main axis on which artificial intelligence is based
Machine Learning , Superficial learning
Biological nerve cells, their types, and their mechanism of operation, Artificial neurons, their origin, history, development,
Introduction to Machine learning ,Artificial neural networks, their types and how they work, Artificial Intelligence layers , the core of AI , AI risks
Practical application by making a knowledge model as a graduation project for this course,
practical application on artificial intelligence applications such as photo-making applications and Chat GPT .
Also the practice on applications of video design through artificial intelligence,
Finally, we conduct the test and give the certificate .
What distinguishes this course
It is explained with the latest means of explanation, including motion graphic designs, that explain the entity of things, and other modern methods, which will make you fully understand the lessons. The course is in several languages, including Arabic and English. Direct communication between teacher and student
You will become qualified to embark on machine learning and artificial intelligence science.
See you .
Eng.Hussam Al-Haimi
THIS COURSE INCLUDES : Computer invention , Internet invention , AI first appear , AI skills , HOW Human thinks , AI Strategy , What makes human smart , What are the ways in which people think and learn about things? , Machine is better than humans in these aspects , Humans are better than a God in this thing , What is scientific research?
What are the main areas of research in artificial intelligence? , artificial general intelligence , artificial narrow intelligence, Neuromorphic chips, Automation , Autumns , Generative Adversarial Networks , Turing Test , Lobner Prize , Ways of representing knowledge , ) Expert Learning Systems
2) Semantic networks: this technique
Focuses on relationships and descriptive words of objects, such as a graph
Which is used to represent a network or semantic network
3) Decision tree or search tree (research and decision tree)
4) Neural networks – created by creating a copy of synthetic and similar networks of neurons in the brain and working in a similar way to them
rules-based or expert systems - Types and functions of neurons - (ANN) Artificial Neural Networks - Connectionism - ANN types
Feed Forward Neural Networks
Convolutional Neural Network (CNN)
Recurrent Neural Networks (RNN)
Radial Basis Function Neural Networks
Self-Organizing Map Neural Network
Modular Neural Network (MNN)
Agents
Rational Agent
Deep Learning , Connectionism , The main axis on which artificial intelligence is based
Machine Learning , Superficial learning
Biological nerve cells, their types, and their mechanism of operation, Artificial neurons, their origin, history, development,
Introduction to Machine learning ,Artificial neural networks, their types and how they work, Artificial Intelligence layers , the core of AI , AI risks
Practical application by making a knowledge model as a graduation project for this course,
practical application on artificial intelligence applications such as photo-making applications and Chat GPT .
Also the practice on applications of video design through artificial intelligence,
Finally, we conduct the test and give the certificate .
What distinguishes this course
It is explained with the latest means of explanation, including motion graphic designs, that explain the entity of things, and other modern methods, which will make you fully understand the lessons. The course is in several languages, including Arabic and English. Direct communication between teacher and student
You will become qualified to embark on machine learning and artificial intelligence science.
See you .
Eng.Hussam Al-Haimi
Welcome to our all-inclusive Salesforce Certified AI Associate Certification Practice Exam course, designed to help you master the essential Salesforce skills, concepts, and best practices needed to pass the exam with confidence.
In this course, you will learn:
AI Fundamentals: 17%
Explain the basic principles and applications of AI within Salesforce.
Differentiate between the types of AI and their capabilities.
AI Capabilities in CRM: 8%
Identify CRM AI capabilities.
Describe the benefits of AI as they apply to CRM.
Ethical Considerations of AI: 39%
Describe the ethical challenges of AI (e.g., human bias in machine learning, lack of transparency, etc.).
Apply Salesforce's Trusted AI Principles to given scenarios.
Data for AI: 36%
Describe the importance of data quality.
Describe the elements/components of data quality.
Our practice exam test course stands out as an in-depth learning platform tailored to accommodate both beginners and experts in the field. By intertwining detailed practice exam questions with actionable feedback from seasoned Salesforce professionals, we aim to bridge any knowledge gaps. This methodical approach ensures that every participant, regardless of their prior experience, becomes proficient and well-prepared to excel in the Salesforce Certified AI Associate Certification exam. As a result, this comprehensive training not only aids in exam success but also lays a solid foundation for an aspiring or evolving Salesforce career, setting you up for long-term achievements.
Welcome to our all-inclusive Salesforce Certified AI Associate Certification Practice Exam course, designed to help you master the essential Salesforce skills, concepts, and best practices needed to pass the exam with confidence.
In this course, you will learn:
AI Fundamentals: 17%
Explain the basic principles and applications of AI within Salesforce.
Differentiate between the types of AI and their capabilities.
AI Capabilities in CRM: 8%
Identify CRM AI capabilities.
Describe the benefits of AI as they apply to CRM.
Ethical Considerations of AI: 39%
Describe the ethical challenges of AI (e.g., human bias in machine learning, lack of transparency, etc.).
Apply Salesforce's Trusted AI Principles to given scenarios.
Data for AI: 36%
Describe the importance of data quality.
Describe the elements/components of data quality.
Our practice exam test course stands out as an in-depth learning platform tailored to accommodate both beginners and experts in the field. By intertwining detailed practice exam questions with actionable feedback from seasoned Salesforce professionals, we aim to bridge any knowledge gaps. This methodical approach ensures that every participant, regardless of their prior experience, becomes proficient and well-prepared to excel in the Salesforce Certified AI Associate Certification exam. As a result, this comprehensive training not only aids in exam success but also lays a solid foundation for an aspiring or evolving Salesforce career, setting you up for long-term achievements.
Unlock the mysteries of Artificial Intelligence (AI) with our illuminating Udemy course, "Learning Artificial Intelligence: AI and the Rise of ChatGPT"! Dive deep into the evolution and capabilities of one of the most advanced AI models, ChatGPT, navigating through its foundational technology and integration in modern productivity apps.
Embark on an AI Adventure!
Navigating through the profound realms of AI Text Content Generation and Natural Language Processing (NLP), this course unveils the mechanics of chatbots and AI models. Learn to leverage the power of BERT, a revolutionary NLP model, and understand the underlying frameworks that make ChatGPT an exemplary model in Generative AI technology.
Hands-On with NLTK!
Engage with practical applications and explorations via the Natural Language Toolkit (NLTK), grounding your knowledge with hands-on exercises and real-world examples. Develop your skills in utilizing NLTK for various AI and NLP applications, ensuring you’re well-equipped to implement sophisticated language processing capabilities into your projects.
Exploring the Realm of ChatGPT!
Dive into the heart of ChatGPT, exploring its robust, multi-faceted capacities in the world of AI, creating enriched, dynamic conversational agents. Learn how AI has reshaped productivity apps, enhancing user interactions and automating workflows. This course provides a lens into how AI like ChatGPT has altered the digital landscape, enabling seamless integration into a multitude of applications.
AI for Business & Productivity!
Unlock the potential of AI in the business domain, deploying intelligent agents to enhance customer experiences and operational workflows. Understand the profound impact of AI Text Content Generation in creating dynamic, automated content, elevating efficiency and user engagement across various productivity apps and platforms.
Who is this Course For?
Whether you are a seasoned data scientist, an aspiring AI engineer, or a curious enthusiast looking to decipher the world of Artificial Intelligence and NLP, this course is crafted for you! Gain a comprehensive understanding, from basics to advanced applications, ensuring that your journey through AI, BERT, and ChatGPT is both enlightening and empowering.
Key Takeaways:
Master the foundational principles of Artificial Intelligence and NLP.
Explore the mechanisms of BERT and ChatGPT, understanding their role and impact in Generative AI.
Get hands-on experience with NLTK, enabling practical implementation of learned theories.
Understand the utilization of AI Text Content Generation in various domains, including marketing, customer service, and productivity apps.
Gain actionable insights into deploying AI strategies in real-world scenarios.
Enroll Now and steer your career and business towards a future, enlightened and empowered by Artificial Intelligence! Ensure your place at the forefront of technological innovation, mastering the capabilities of AI, ChatGPT, and NLP!
Unlock the mysteries of Artificial Intelligence (AI) with our illuminating Udemy course, "Learning Artificial Intelligence: AI and the Rise of ChatGPT"! Dive deep into the evolution and capabilities of one of the most advanced AI models, ChatGPT, navigating through its foundational technology and integration in modern productivity apps.
Embark on an AI Adventure!
Navigating through the profound realms of AI Text Content Generation and Natural Language Processing (NLP), this course unveils the mechanics of chatbots and AI models. Learn to leverage the power of BERT, a revolutionary NLP model, and understand the underlying frameworks that make ChatGPT an exemplary model in Generative AI technology.
Hands-On with NLTK!
Engage with practical applications and explorations via the Natural Language Toolkit (NLTK), grounding your knowledge with hands-on exercises and real-world examples. Develop your skills in utilizing NLTK for various AI and NLP applications, ensuring you’re well-equipped to implement sophisticated language processing capabilities into your projects.
Exploring the Realm of ChatGPT!
Dive into the heart of ChatGPT, exploring its robust, multi-faceted capacities in the world of AI, creating enriched, dynamic conversational agents. Learn how AI has reshaped productivity apps, enhancing user interactions and automating workflows. This course provides a lens into how AI like ChatGPT has altered the digital landscape, enabling seamless integration into a multitude of applications.
AI for Business & Productivity!
Unlock the potential of AI in the business domain, deploying intelligent agents to enhance customer experiences and operational workflows. Understand the profound impact of AI Text Content Generation in creating dynamic, automated content, elevating efficiency and user engagement across various productivity apps and platforms.
Who is this Course For?
Whether you are a seasoned data scientist, an aspiring AI engineer, or a curious enthusiast looking to decipher the world of Artificial Intelligence and NLP, this course is crafted for you! Gain a comprehensive understanding, from basics to advanced applications, ensuring that your journey through AI, BERT, and ChatGPT is both enlightening and empowering.
Key Takeaways:
Master the foundational principles of Artificial Intelligence and NLP.
Explore the mechanisms of BERT and ChatGPT, understanding their role and impact in Generative AI.
Get hands-on experience with NLTK, enabling practical implementation of learned theories.
Understand the utilization of AI Text Content Generation in various domains, including marketing, customer service, and productivity apps.
Gain actionable insights into deploying AI strategies in real-world scenarios.
Enroll Now and steer your career and business towards a future, enlightened and empowered by Artificial Intelligence! Ensure your place at the forefront of technological innovation, mastering the capabilities of AI, ChatGPT, and NLP!