ALL STUDENTS WILL RECEIVE THE ADVANCED PROMPTING "TREE OF THOUGHT" EBOOK FOR FREE WITH THEIR PURCHASE!
This has never been offered before on Udemy!
You will learn the fundamentals of AI and its seamless integration into various business processes and tasks
With hands-on experience using popular AI tools like ChatGPT, you'll master account setup, navigation, and interactive conversations
You'll develop a strategic mindset to evaluate AI's potential benefits, allowing you to align technology integration with your specific job or business objectives
You'll acquire the confidence to apply AI effectively in real-world scenarios, opening doors to career advancement, innovation, and personal growth
Our training goes beyond theory, integrating real-world applications to showcase the relevance and potential of AI in diverse fields
You learn by doing, gaining practical experience in AI integration
"I took the AI Mastery course with Justin and it was nothing short of spectacular. I had played around with Chat GPT and even paid for the premium version but had no clue how robust it was or how many myriad ways it could be used. I feel like I have just scratched the surface in terms of what's possible to save valuable time working. I highly highly recommend working with Justin to get the knowledge you need to stay ahead of the curve" - Jen Seregos, Founder of Athena Digital
"Neesh Courses has been a game-changer for me. The AI Blueprint: The Integration Masterclass is a gem. It not only simplified AI concepts but also gave me the hands-on experience I needed to use AI tools effectively. The strategic guidance on AI implementation has boosted my confidence and productivity. I can't thank Neesh Courses enough for this transformative learning journey" - Sue Porter
"As a marketing director for a small women's health company, I was thrilled to learn how this tech could help me to reach my target audience. Knowing how to use ChatGPT effectively has allowed me to be more efficient in my day-to-day tasks such as not wasting time having writer's block, and instead having AI generate ideas and copy for me that can spark my ideas and allow me to simply edit what it spits back at me. Another thing I have learned from Justin that has greatly enhanced my work day-to-day is using different plugins on ChatGPT that I otherwise wouldn't've known existed. If you're considering diving into ChatGPT, don't miss out on Justin's workshop. It's given me some great tools to make my work tasks more efficient and less mundane, less wasting time on busy work - Keira Missanelli, Director of Marketing at Binto
Unlock AI Excellence with Confidence
Join us on this transformative journey, and harness the power of AI to excel in your career and embrace the future with confidence
Enroll now, start following through with our techniques, and apply these to your transform your professional life.
See you on the inside!
ALL STUDENTS WILL RECEIVE THE ADVANCED PROMPTING "TREE OF THOUGHT" EBOOK FOR FREE WITH THEIR PURCHASE!
This has never been offered before on Udemy!
You will learn the fundamentals of AI and its seamless integration into various business processes and tasks
With hands-on experience using popular AI tools like ChatGPT, you'll master account setup, navigation, and interactive conversations
You'll develop a strategic mindset to evaluate AI's potential benefits, allowing you to align technology integration with your specific job or business objectives
You'll acquire the confidence to apply AI effectively in real-world scenarios, opening doors to career advancement, innovation, and personal growth
Our training goes beyond theory, integrating real-world applications to showcase the relevance and potential of AI in diverse fields
You learn by doing, gaining practical experience in AI integration
"I took the AI Mastery course with Justin and it was nothing short of spectacular. I had played around with Chat GPT and even paid for the premium version but had no clue how robust it was or how many myriad ways it could be used. I feel like I have just scratched the surface in terms of what's possible to save valuable time working. I highly highly recommend working with Justin to get the knowledge you need to stay ahead of the curve" - Jen Seregos, Founder of Athena Digital
"Neesh Courses has been a game-changer for me. The AI Blueprint: The Integration Masterclass is a gem. It not only simplified AI concepts but also gave me the hands-on experience I needed to use AI tools effectively. The strategic guidance on AI implementation has boosted my confidence and productivity. I can't thank Neesh Courses enough for this transformative learning journey" - Sue Porter
"As a marketing director for a small women's health company, I was thrilled to learn how this tech could help me to reach my target audience. Knowing how to use ChatGPT effectively has allowed me to be more efficient in my day-to-day tasks such as not wasting time having writer's block, and instead having AI generate ideas and copy for me that can spark my ideas and allow me to simply edit what it spits back at me. Another thing I have learned from Justin that has greatly enhanced my work day-to-day is using different plugins on ChatGPT that I otherwise wouldn't've known existed. If you're considering diving into ChatGPT, don't miss out on Justin's workshop. It's given me some great tools to make my work tasks more efficient and less mundane, less wasting time on busy work - Keira Missanelli, Director of Marketing at Binto
Unlock AI Excellence with Confidence
Join us on this transformative journey, and harness the power of AI to excel in your career and embrace the future with confidence
Enroll now, start following through with our techniques, and apply these to your transform your professional life.
See you on the inside!
Welcome to course: AI Essentials: A Simple Introduction to Artificial Intelligence Technologies by MTF Institute
Course provided by MTF Institute of Management, Technology and Finance
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on higher & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.
MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry, and resident of the incubator "The Fintech House of Portugal".
MTF is present in 205 countries and has been chosen by more than 250,000 students.
Hello everyone, and welcome to my course in Artificial Intelligence (AI)! My name is Mohamed Elfateh, I have been working in the Information Technology field for over a decade. I am interested in learning about modern technologies and sharing my knowledge with others.
What is AI?
AI is a field of computer science that studies how to create machines that can process information, make decisions, and perform specific tasks.
The History of modern AI
The field of artificial intelligence (AI) has a long and rich history, dating back to the early days of computing. However, the field as we know it today was founded in 1956 at a conference at Dartmouth College in New Hampshire. This conference brought together the leading researchers in AI at the time, including Alan Turing, John McCarthy, and Marvin Minsky. The conference is credited with helping to define the field of AI and to set the agenda for future research.
Artificial Intelligence “AI” is a complex field that needs the ability of people from diverse disciplines to work together. As an example, manufacturing autonomous vehicles like self-driving cars requires the work of people from different fields, such as AI Researchers, Automotive Engineers, and Computer Vision Researchers.
AI Researchers develop algorithms that enable self-driving cars to perceive their surroundings, make decisions, and control their movements. Automotive Engineers develop the hardware and software systems that are needed to implement these algorithms, and Computer Vision Researchers develop new techniques for enabling self-driving cars to see and understand the world.
What is Machine Learning?
Machine Learning is a type of Artificial Intelligence (AI) that allows computers to learn from data without explicit programming. In other words, machine learning algorithms can recognize patterns and make predictions based on data, without getting a command. This enables computers to learn new tasks and improve their performance over time without human intervention.
Where is Machine Learning used?
Machine learning is in use by a wide range of applications, including email filtering, Social Media Personalization, Image Recognition, Speech Recognition, fraud detection, Text prediction, Product recommendation, medical diagnosis, Healthcare Personalization, Traffic Prediction.
Neural networks are a type of machine learning algorithm that is inspired by the structure and function of the human brain.
Neural networks can learn complex patterns from data.
Neural networks have been successfully used in areas such as natural language processing.
Deep Learning is a type of machine learning that uses neural networks with multiple layers.
Each layer consists of multiple nodes that can perform diverse tasks. This allows deep learning models to learn more complex patterns from data.
Deep learning has been used to achieve significant results in a wide range of tasks, including image recognition, speech recognition, and machine translation.
Welcome to course: AI Essentials: A Simple Introduction to Artificial Intelligence Technologies by MTF Institute
Course provided by MTF Institute of Management, Technology and Finance
MTF is the global educational and research institute with HQ at Lisbon, Portugal, focused on higher & professional hybrid (on-campus and online) education at areas: Business & Administration, Science & Technology, Banking & Finance.
MTF R&D center focused on research activities at areas: Artificial Intelligence, Machine Learning, Data Science, Big Data, WEB3, Blockchain, Cryptocurrency & Digital Assets, Metaverses, Digital Transformation, Fintech, Electronic Commerce, Internet of Things.
MTF is the official partner of: IBM, Intel, Microsoft, member of the Portuguese Chamber of Commerce and Industry, and resident of the incubator "The Fintech House of Portugal".
MTF is present in 205 countries and has been chosen by more than 250,000 students.
Hello everyone, and welcome to my course in Artificial Intelligence (AI)! My name is Mohamed Elfateh, I have been working in the Information Technology field for over a decade. I am interested in learning about modern technologies and sharing my knowledge with others.
What is AI?
AI is a field of computer science that studies how to create machines that can process information, make decisions, and perform specific tasks.
The History of modern AI
The field of artificial intelligence (AI) has a long and rich history, dating back to the early days of computing. However, the field as we know it today was founded in 1956 at a conference at Dartmouth College in New Hampshire. This conference brought together the leading researchers in AI at the time, including Alan Turing, John McCarthy, and Marvin Minsky. The conference is credited with helping to define the field of AI and to set the agenda for future research.
Artificial Intelligence “AI” is a complex field that needs the ability of people from diverse disciplines to work together. As an example, manufacturing autonomous vehicles like self-driving cars requires the work of people from different fields, such as AI Researchers, Automotive Engineers, and Computer Vision Researchers.
AI Researchers develop algorithms that enable self-driving cars to perceive their surroundings, make decisions, and control their movements. Automotive Engineers develop the hardware and software systems that are needed to implement these algorithms, and Computer Vision Researchers develop new techniques for enabling self-driving cars to see and understand the world.
What is Machine Learning?
Machine Learning is a type of Artificial Intelligence (AI) that allows computers to learn from data without explicit programming. In other words, machine learning algorithms can recognize patterns and make predictions based on data, without getting a command. This enables computers to learn new tasks and improve their performance over time without human intervention.
Where is Machine Learning used?
Machine learning is in use by a wide range of applications, including email filtering, Social Media Personalization, Image Recognition, Speech Recognition, fraud detection, Text prediction, Product recommendation, medical diagnosis, Healthcare Personalization, Traffic Prediction.
Neural networks are a type of machine learning algorithm that is inspired by the structure and function of the human brain.
Neural networks can learn complex patterns from data.
Neural networks have been successfully used in areas such as natural language processing.
Deep Learning is a type of machine learning that uses neural networks with multiple layers.
Each layer consists of multiple nodes that can perform diverse tasks. This allows deep learning models to learn more complex patterns from data.
Deep learning has been used to achieve significant results in a wide range of tasks, including image recognition, speech recognition, and machine translation.
「GPTsで対話型AIを作ろう！」は、コーディング不要でオリジナルのチャットAIを開発可能な「GPTs」について包括的に学ぶ講座です。
GPTsは、2023年11月6日にOpenAIが公開した特定の目的に合わせてカスタマイズ可能なChatGPTのカスタムバージョンです。
また、「特定の用途に特化してカスタマイズされたChatGPTのモデルの総称」のことでもあります。
「GPT Builder」を使うことで、様々なタイプのチャットAIを対話形式で作ることができます。
コーディングやプロンプトエンジニアリングは不要で、誰でも簡単にチャットボットアプリを構築し、公開することができます。
さらに、2023年11月中には自分で作成したGPTsを公開できる「GPT Store」も提供される予定で、新たなマーケットの形成が予想されます。
GPTsは、DALL・Eと連携した画像生成、最新の知識の組み込み、外部データやアクションへのAPI経由のアクセスなど、多彩な機能を提供します。
応用範囲は、英語教育やロゴ・レシピ作成、ブレインストーミングなどの想像力次第で無限大です。
さらに、ChatGPT Enterpriseユーザーは、特定のニーズに合わせた内部限定GPTのデプロイが可能です。
本講座を受講するために、プログラミングや数学の知識は必要ありません。
また、対話形式で作れるのでプロンプトエンジニアリングの知識も必要ありません。
本講座ではGPTsの全体像を学んだ上で、対話形式でカスタマイズを行い独自のChatGPTを作成します。
日常生活、仕事、教育、エンターテイメントなどの様々な場面で必要とされる対話型AIを、自分で構築できるようになりましょう。
注: 本コースに先立ちYouTubeでのライブ講義【Live! 人工知能】がありました。本コースの動画はこのライブ講義をUdemy用に再構成したものになります。
「GPTsで対話型AIを作ろう！」は、コーディング不要でオリジナルのチャットAIを開発可能な「GPTs」について包括的に学ぶ講座です。
GPTsは、2023年11月6日にOpenAIが公開した特定の目的に合わせてカスタマイズ可能なChatGPTのカスタムバージョンです。
また、「特定の用途に特化してカスタマイズされたChatGPTのモデルの総称」のことでもあります。
「GPT Builder」を使うことで、様々なタイプのチャットAIを対話形式で作ることができます。
コーディングやプロンプトエンジニアリングは不要で、誰でも簡単にチャットボットアプリを構築し、公開することができます。
さらに、2023年11月中には自分で作成したGPTsを公開できる「GPT Store」も提供される予定で、新たなマーケットの形成が予想されます。
GPTsは、DALL・Eと連携した画像生成、最新の知識の組み込み、外部データやアクションへのAPI経由のアクセスなど、多彩な機能を提供します。
応用範囲は、英語教育やロゴ・レシピ作成、ブレインストーミングなどの想像力次第で無限大です。
さらに、ChatGPT Enterpriseユーザーは、特定のニーズに合わせた内部限定GPTのデプロイが可能です。
本講座を受講するために、プログラミングや数学の知識は必要ありません。
また、対話形式で作れるのでプロンプトエンジニアリングの知識も必要ありません。
本講座ではGPTsの全体像を学んだ上で、対話形式でカスタマイズを行い独自のChatGPTを作成します。
日常生活、仕事、教育、エンターテイメントなどの様々な場面で必要とされる対話型AIを、自分で構築できるようになりましょう。
注: 本コースに先立ちYouTubeでのライブ講義【Live! 人工知能】がありました。本コースの動画はこのライブ講義をUdemy用に再構成したものになります。
200+ Artificial Intelligence AI Interview Questions and Answers MCQ Practice Test Quiz with Detailed Explanations. [Updated 2024]
Artificial Intelligence (AI) Mastery through MCQs: A Comprehensive Quiz Practice Course
Welcome to our "Artificial Intelligence (AI) Mastery through MCQs" course, a unique and comprehensive quiz-based learning journey designed to deepen your understanding and enhance your skills in the dynamic field of Artificial Intelligence. Whether you're a student, professional, or enthusiast in the world of AI, this course offers a rich repository of carefully crafted Multiple Choice Questions (MCQs) spanning across six pivotal sections of AI.
Course Outline
Introduction to Artificial Intelligence
Delve into the essence of AI, exploring its definitions, basic concepts, history, various types, and real-world applications.
Technologies and Tools in AI
Unravel the core technologies behind AI, including Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, and Robotics.
AI in Various Industries
Discover how AI is revolutionizing industries like healthcare, finance, retail, and transportation, reshaping the business landscape.
Ethical and Societal Impact of AI
Engage with the ethical considerations, biases, privacy concerns, and economic implications AI brings to society.
Challenges and Limitations of AI
Examine the hurdles in AI development, including technical challenges, scalability, interoperability, and ensuring reliability and safety.
Future Trends and Developments in AI
Look ahead into the future of AI, discussing governance, human-AI collaboration, and global opportunities and threats.
Course Format (Quiz)
This course is uniquely structured as a series of interactive Multiple Choice Questions (MCQs) designed to test and enhance your understanding of Artificial Intelligence (AI). Each section is packed with a variety of questions ranging from basic to advanced levels, ensuring a comprehensive learning experience. The format is engaging and allows for self-assessment as you progress through the course.
We Update Questions Regularly
In the ever-evolving field of AI, staying current is key. That's why we regularly update our question bank to include the latest trends, technologies, and discoveries in AI. This ensures that you are not only learning the fundamentals but are also keeping pace with the latest advancements in the field.
Examples of the Types of Questions You'll Encounter
Conceptual Understanding: Questions designed to test your grasp of AI concepts, theories, and principles.
Application-Based: Scenarios and case studies where you apply your knowledge to solve practical problems.
Industry-Specific: Questions tailored to AI applications in various industries like healthcare, finance, and more.
Technological Insights: Queries about specific AI technologies, tools, and programming aspects.
Ethical and Societal Impact: Thought-provoking questions about the implications of AI in society and ethical considerations.
Frequently Asked Questions (FAQs):
What is the difference between Narrow AI and General AI?
Answer: Narrow AI is designed for a specific task, while General AI has the ability to understand and learn any intellectual task that a human can.
How do neural networks relate to deep learning?
Answer: Neural networks, especially deep neural networks with many layers, are the foundation of deep learning, a subset of machine learning.
Can AI make ethical decisions?
Answer: AI can be programmed to make decisions based on ethical guidelines, but the understanding and interpretation of ethics are inherently human traits.
What role does AI play in healthcare?
Answer: AI plays various roles in healthcare, including diagnosing diseases, predicting patient outcomes, and personalizing treatment plans.
How does bias occur in AI systems?
Answer: Bias in AI often stems from biased data sets or algorithms, leading to unfair outcomes or decisions.
What are some challenges in developing AI?
Answer: Challenges include data quality, algorithmic complexity, computational resources, ethical concerns, and mitigating bias.
How does AI impact employment?
Answer: AI automates tasks which can lead to job displacement, but it also creates new job opportunities requiring AI expertise.
What is the role of AI in autonomous vehicles?
Answer: AI enables autonomous vehicles to perceive their environment, make decisions, and navigate safely.
How does AI process natural language?
Answer: AI uses Natural Language Processing (NLP) to understand, interpret, and generate human language.
What are the future trends in AI?
Answer: Future trends include advancements in AI ethics, AI governance, human-AI collaboration, and more sophisticated AI technologies.
Enroll Now
Join us in this enlightening journey through the world of Artificial Intelligence. Enroll now to unlock your potential and stay ahead in the ever-evolving landscape of AI!
200+ Artificial Intelligence AI Interview Questions and Answers MCQ Practice Test Quiz with Detailed Explanations. [Updated 2024]
Artificial Intelligence (AI) Mastery through MCQs: A Comprehensive Quiz Practice Course
Welcome to our "Artificial Intelligence (AI) Mastery through MCQs" course, a unique and comprehensive quiz-based learning journey designed to deepen your understanding and enhance your skills in the dynamic field of Artificial Intelligence. Whether you're a student, professional, or enthusiast in the world of AI, this course offers a rich repository of carefully crafted Multiple Choice Questions (MCQs) spanning across six pivotal sections of AI.
Course Outline
Introduction to Artificial Intelligence
Delve into the essence of AI, exploring its definitions, basic concepts, history, various types, and real-world applications.
Technologies and Tools in AI
Unravel the core technologies behind AI, including Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, and Robotics.
AI in Various Industries
Discover how AI is revolutionizing industries like healthcare, finance, retail, and transportation, reshaping the business landscape.
Ethical and Societal Impact of AI
Engage with the ethical considerations, biases, privacy concerns, and economic implications AI brings to society.
Challenges and Limitations of AI
Examine the hurdles in AI development, including technical challenges, scalability, interoperability, and ensuring reliability and safety.
Future Trends and Developments in AI
Look ahead into the future of AI, discussing governance, human-AI collaboration, and global opportunities and threats.
Course Format (Quiz)
This course is uniquely structured as a series of interactive Multiple Choice Questions (MCQs) designed to test and enhance your understanding of Artificial Intelligence (AI). Each section is packed with a variety of questions ranging from basic to advanced levels, ensuring a comprehensive learning experience. The format is engaging and allows for self-assessment as you progress through the course.
We Update Questions Regularly
In the ever-evolving field of AI, staying current is key. That's why we regularly update our question bank to include the latest trends, technologies, and discoveries in AI. This ensures that you are not only learning the fundamentals but are also keeping pace with the latest advancements in the field.
Examples of the Types of Questions You'll Encounter
Conceptual Understanding: Questions designed to test your grasp of AI concepts, theories, and principles.
Application-Based: Scenarios and case studies where you apply your knowledge to solve practical problems.
Industry-Specific: Questions tailored to AI applications in various industries like healthcare, finance, and more.
Technological Insights: Queries about specific AI technologies, tools, and programming aspects.
Ethical and Societal Impact: Thought-provoking questions about the implications of AI in society and ethical considerations.
Frequently Asked Questions (FAQs):
What is the difference between Narrow AI and General AI?
Answer: Narrow AI is designed for a specific task, while General AI has the ability to understand and learn any intellectual task that a human can.
How do neural networks relate to deep learning?
Answer: Neural networks, especially deep neural networks with many layers, are the foundation of deep learning, a subset of machine learning.
Can AI make ethical decisions?
Answer: AI can be programmed to make decisions based on ethical guidelines, but the understanding and interpretation of ethics are inherently human traits.
What role does AI play in healthcare?
Answer: AI plays various roles in healthcare, including diagnosing diseases, predicting patient outcomes, and personalizing treatment plans.
How does bias occur in AI systems?
Answer: Bias in AI often stems from biased data sets or algorithms, leading to unfair outcomes or decisions.
What are some challenges in developing AI?
Answer: Challenges include data quality, algorithmic complexity, computational resources, ethical concerns, and mitigating bias.
How does AI impact employment?
Answer: AI automates tasks which can lead to job displacement, but it also creates new job opportunities requiring AI expertise.
What is the role of AI in autonomous vehicles?
Answer: AI enables autonomous vehicles to perceive their environment, make decisions, and navigate safely.
How does AI process natural language?
Answer: AI uses Natural Language Processing (NLP) to understand, interpret, and generate human language.
What are the future trends in AI?
Answer: Future trends include advancements in AI ethics, AI governance, human-AI collaboration, and more sophisticated AI technologies.
Enroll Now
Join us in this enlightening journey through the world of Artificial Intelligence. Enroll now to unlock your potential and stay ahead in the ever-evolving landscape of AI!
In this course, you will get to understand the foundational concepts that underlie the supervised machine-learning process. You will get to understand complex topics such as:
Exploratory Data Analysis,
Data Transformation and Feature Scaling,
Evaluation Metrics, Algorithms, trainers, and models,
Underfitting and Overfitting,
Cross-validation, Regularization, and much more
You will see these concepts come alive by doing a practical machine-learning exercise, rather than by looking at presentations. We will be using a non-cloud-based machine-learning tool called Model Builder, inside of Visual Studio. There will be zero coding involved (except for the very last lesson). But even though there is little coding involved, you will still get a very detailed understanding of complex machine-learning concepts.
This course requires you to have at least some theoretical exposure to the concepts of supervised and unsupervised machine learning. This course is designed to build on a basic, theoretical understanding of machine learning by doing a practical machine-learning exercise. The concepts taught in this course are foundational and will be relevant in the future, regardless of what machine learning platform or programming language you use.
In the process, you will also get some exposure to Visual Studio, code projects, solutions, and the Microsoft Machine Learning ecosystem. But that is just a side benefit. This course focuses on machine learning itself, not the tools that are used.
If you've already done any kind of machine learning or trained a model, this course might be too basic for you. This course may contain foundational knowledge that you may not have been taught before, but please be aware that this course is geared toward beginner and intermediate-level AI enthusiasts.
In this course, you will get to understand the foundational concepts that underlie the supervised machine-learning process. You will get to understand complex topics such as:
Exploratory Data Analysis,
Data Transformation and Feature Scaling,
Evaluation Metrics, Algorithms, trainers, and models,
Underfitting and Overfitting,
Cross-validation, Regularization, and much more
You will see these concepts come alive by doing a practical machine-learning exercise, rather than by looking at presentations. We will be using a non-cloud-based machine-learning tool called Model Builder, inside of Visual Studio. There will be zero coding involved (except for the very last lesson). But even though there is little coding involved, you will still get a very detailed understanding of complex machine-learning concepts.
This course requires you to have at least some theoretical exposure to the concepts of supervised and unsupervised machine learning. This course is designed to build on a basic, theoretical understanding of machine learning by doing a practical machine-learning exercise. The concepts taught in this course are foundational and will be relevant in the future, regardless of what machine learning platform or programming language you use.
In the process, you will also get some exposure to Visual Studio, code projects, solutions, and the Microsoft Machine Learning ecosystem. But that is just a side benefit. This course focuses on machine learning itself, not the tools that are used.
If you've already done any kind of machine learning or trained a model, this course might be too basic for you. This course may contain foundational knowledge that you may not have been taught before, but please be aware that this course is geared toward beginner and intermediate-level AI enthusiasts.