Does the concept of artificial intelligence intrigue you but you're not sure where to start? Does technical terminology make it hard for you to fully comprehend what AI is and what it does? Do you need help understanding the applications of AI beyond a basic level? If so, this is the course for you!
In the business world today, AI is at the forefront of modern technological advancement with new discoveries and upgrades introduced on a regular basis. The launch of GPT-4 is an excellent example of innovation and how it can completely change the way ordinary people approach language, work and logic. Resisting the AI wave may leave your business behind the competition, so it’s important you begin to consider how you can implement it correctly as soon as possible. Considering 53% of executives increased their AI investments over the past year and 63% of organisations achieved a competitive advantage from the use of specialised AI, it is imperative your business stays up to date!
Throughout a series of six short video-based lectures, we will provide you with the necessary foundation to navigate AI-related terms and abbreviations, ensuring you can confidently converse and understand the language of AI. We will delve into the captivating history of AI, tracing its evolution and the rise of machine learning algorithms that have transformed the landscape of modern technology. Keeping you up-to-date with the latest advancements, we will address the current trends and statistics related to artificial intelligence, allowing you to gain valuable insights into the state of the AI industry today. One of the main highlights of this course is equipping you to identify AI's current capacities and abilities. Through practical examples and hands-on exercises, you will grasp the fundamental concepts of AI applications and their potential in various domains.
Following this, we will look into the fact that while AI has brought about numerous advantages there are the drawbacks and risks associated with this powerful technology. Additionally, you will uncover the ethical implications and potential pitfalls and we will guide you through the ethical considerations and responsible use of AI. Furthermore, we will present compelling use case studies of businesses that have successfully implemented AI, showcasing the real-world applications and benefits that AI can bring to different industries. By examining these success stories, you will gain valuable insights into how AI can be leveraged to drive innovation and efficiency in organisations.
By the end of the course, you will have a comprehensive understanding of AI's history, its current capabilities, potential risks, and the inspiring success stories of its practical implementation! So, are you ready to push your business into the future and revolutionise your processes? Enrol now to learn more!
Does the concept of artificial intelligence intrigue you but you're not sure where to start? Does technical terminology make it hard for you to fully comprehend what AI is and what it does? Do you need help understanding the applications of AI beyond a basic level? If so, this is the course for you!
In the business world today, AI is at the forefront of modern technological advancement with new discoveries and upgrades introduced on a regular basis. The launch of GPT-4 is an excellent example of innovation and how it can completely change the way ordinary people approach language, work and logic. Resisting the AI wave may leave your business behind the competition, so it’s important you begin to consider how you can implement it correctly as soon as possible. Considering 53% of executives increased their AI investments over the past year and 63% of organisations achieved a competitive advantage from the use of specialised AI, it is imperative your business stays up to date!
Throughout a series of six short video-based lectures, we will provide you with the necessary foundation to navigate AI-related terms and abbreviations, ensuring you can confidently converse and understand the language of AI. We will delve into the captivating history of AI, tracing its evolution and the rise of machine learning algorithms that have transformed the landscape of modern technology. Keeping you up-to-date with the latest advancements, we will address the current trends and statistics related to artificial intelligence, allowing you to gain valuable insights into the state of the AI industry today. One of the main highlights of this course is equipping you to identify AI's current capacities and abilities. Through practical examples and hands-on exercises, you will grasp the fundamental concepts of AI applications and their potential in various domains.
Following this, we will look into the fact that while AI has brought about numerous advantages there are the drawbacks and risks associated with this powerful technology. Additionally, you will uncover the ethical implications and potential pitfalls and we will guide you through the ethical considerations and responsible use of AI. Furthermore, we will present compelling use case studies of businesses that have successfully implemented AI, showcasing the real-world applications and benefits that AI can bring to different industries. By examining these success stories, you will gain valuable insights into how AI can be leveraged to drive innovation and efficiency in organisations.
By the end of the course, you will have a comprehensive understanding of AI's history, its current capabilities, potential risks, and the inspiring success stories of its practical implementation! So, are you ready to push your business into the future and revolutionise your processes? Enrol now to learn more!
Data being the backbone of all businesses and organizations in the world today makes interacting with data even more critical to gain insights and make informed decisions. Most business teams rely on the data analytics or insights team to interpret data and generate insights, which can lead to inefficiency within the organization.
Earlier businesses used to have limited data, and all this data could have been analyzed by the limited people in the insights team of the company with immense technical knowledge. But now the landscape has changed drastically!!! it has come to a point where even non-technical roles require analysis of some form of data to make their decisions. And that is where the problem comes in. People in roles like - marketing, HR, operations, sales, etc., have less or less technical knowledge. These people rely on the insight team for even the smallest insights. This leads to inefficiencies in the process and a lot of loss to the company.
And this is precisely where no-code tools come in. No-code tools like Orange Data Mining and Tableau have revolutionized how businesses handle data analytics and visualization. These platforms democratize data science by making it accessible to individuals who may not have programming skills, thereby widening the pool of talent capable of deriving insights from data. With user-friendly drag-and-drop interfaces, employees can quickly and easily set up data workflows, conduct complex analyses, and generate visual reports. This speed and agility are crucial for making timely, data-driven decisions in a fast-paced business environment. Moreover, the ease of use encourages cross-functional collaboration, allowing team members from diverse departments to contribute their expertise to data projects. As a result, businesses can enjoy a more holistic understanding of their operations, customer behavior, and market trends without investing in extensive training or specialized personnel. Furthermore, these no-code tools offer a cost-effective solution by reducing the need for a large team of data scientists and developers while minimizing long-term maintenance costs. Platforms like Orange and Tableau empower organizations to be more data-driven, agile, and innovative.
Our No-Code AI course empowers business professionals to make data-driven decisions independently without relying on the data team. This course will enable you to make better business decisions by applying fundamental statistical metrics and prediction methods using various drag-and-drop tools. You will learn to analyze data, generate insights, and build machine-learning models without writing a single line of code!
This one-of-a-kind course is structured to ensure you are up-to-date with the latest advancements in the field of no-code AI. Our no-code course spans over 5 sections and 2 no-code AI tools. Let’s have a look at the sections.
Section 1: Art of Making Decisions with Data
Gain the ability to use statistical measures such as Mean/Medium/Stddev in making decisions based on the data.
An exercise at the beginning and end of the section to show you the difference between knowledge.
Different approaches to making decisions, along with their pros and cons.
Common biases in decision-making through examples.
Understand Confidence Interval and Sample Bias
A case study to make decisions based on Data
Section 2: Powering your decisions with Charts (Tableau Public)
Present reports and evaluate information presented in reports
Showcasing scenarios where making charts can give better insights, such as identifying stock trends, Regional Patterns of Sales in a color-coded map, the relation between two features (etc.)
Introduction to Tableau using a case study.
Asking questions that require the use of different kinds of charts to answer them
Joins in Tableau
Summary of different types of charts and where to use each one of them.
Exercise at the end of the section to strengthen your concepts.
Section 3: Making Predictions for Future Readiness
Identify the type of machine learning problems
Understand why we make predictions and what are some simple methods explained using a case study that will talk about simple predictions based on average, rule-based predictions, predictions using machine learning, etc.
Best Practices to evaluate predictions and introduce concepts around evaluation metrics, train-test sets, benchmarks, etc
Understand Machine Learning and its applications
Checklist to go through if Machine Learning would be a good choice
Section 4: Introduction to a No-Code tool (Orange) using a case study
Make predictions by building machine learning models on a no-code tool - Orange Data Mining.
Assess the quality of predictions and approach of ML models created by others/team members using Orange.
Go through multiple case studies to get familiar with Orange. Each case study would start with a problem statement and data, and the participants would have to identify the target variable, features to skip, select features, and kind of problem (Classification, Regression, Clustering) When to use Deep Learning.
Demo of K-Nearest Neighbors, Decision Tree, Random Forest, Logistic Regression, K-Means, Hierarchical Clustering, etc in Orange
Best practices to create good Machine Learning models
Discussion on Model Deployment and rate of predictions
Section 5: Deep Learning and Ethics in AI
Create Deep Learning models using a no-code tool - Orange Data Mining.
Create a Deep Learning model for Text Data using Orange.
Create a Deep Learning model for Image Data using Orange.
Understand how deep learning stems as the basic building block for Generative AI.
Get familiar with Generative AI tools such as ChatGPT and DALL-E to quickly generate text and images and get ahead of the curve.
Understand the ethical concerns related to AI and how it has become even more relevant with the advent of Generative AI.
By the end of this course, you'll have a deep understanding of essential statistical metrics and predictive methods and the confidence to apply them effectively without writing a single line of code. Embrace this opportunity to become a data-savvy decision-maker, and let our course be your guide in this transformative process.
Your journey toward data-driven excellence starts here, and we can't wait to see the positive impact you'll make with your newfound knowledge and skills. We understand that the path to data-driven excellence can be daunting, filled with complex algorithms, massive datasets, and intricate visualizations. But fear not because you're not alone on this journey. With the right tools and guidance, you'll soon realize that data is not an obstacle but an invaluable asset waiting to be unlocked.
As you embark on this transformative path, remember that every data point you analyze, create a chart, and gain insight contribute to a broader understanding of your organization's goals and challenges. Your newfound skills will make you an asset to your team and position you as a catalyst for organizational change.
So whether you're a beginner just getting your feet wet or a seasoned professional looking to refine your skills, embrace the journey ahead. The road to data-driven excellence is a marathon, not a sprint. But every step you take is a stride towards a more informed, effective, and impactful future. We're excited to support you every step of the way.
Don't wait – enroll now and unleash the power of No-Code AI for your career.
Data being the backbone of all businesses and organizations in the world today makes interacting with data even more critical to gain insights and make informed decisions. Most business teams rely on the data analytics or insights team to interpret data and generate insights, which can lead to inefficiency within the organization.
Earlier businesses used to have limited data, and all this data could have been analyzed by the limited people in the insights team of the company with immense technical knowledge. But now the landscape has changed drastically!!! it has come to a point where even non-technical roles require analysis of some form of data to make their decisions. And that is where the problem comes in. People in roles like - marketing, HR, operations, sales, etc., have less or less technical knowledge. These people rely on the insight team for even the smallest insights. This leads to inefficiencies in the process and a lot of loss to the company.
And this is precisely where no-code tools come in. No-code tools like Orange Data Mining and Tableau have revolutionized how businesses handle data analytics and visualization. These platforms democratize data science by making it accessible to individuals who may not have programming skills, thereby widening the pool of talent capable of deriving insights from data. With user-friendly drag-and-drop interfaces, employees can quickly and easily set up data workflows, conduct complex analyses, and generate visual reports. This speed and agility are crucial for making timely, data-driven decisions in a fast-paced business environment. Moreover, the ease of use encourages cross-functional collaboration, allowing team members from diverse departments to contribute their expertise to data projects. As a result, businesses can enjoy a more holistic understanding of their operations, customer behavior, and market trends without investing in extensive training or specialized personnel. Furthermore, these no-code tools offer a cost-effective solution by reducing the need for a large team of data scientists and developers while minimizing long-term maintenance costs. Platforms like Orange and Tableau empower organizations to be more data-driven, agile, and innovative.
Our No-Code AI course empowers business professionals to make data-driven decisions independently without relying on the data team. This course will enable you to make better business decisions by applying fundamental statistical metrics and prediction methods using various drag-and-drop tools. You will learn to analyze data, generate insights, and build machine-learning models without writing a single line of code!
This one-of-a-kind course is structured to ensure you are up-to-date with the latest advancements in the field of no-code AI. Our no-code course spans over 5 sections and 2 no-code AI tools. Let’s have a look at the sections.
Section 1: Art of Making Decisions with Data
Gain the ability to use statistical measures such as Mean/Medium/Stddev in making decisions based on the data.
An exercise at the beginning and end of the section to show you the difference between knowledge.
Different approaches to making decisions, along with their pros and cons.
Common biases in decision-making through examples.
Understand Confidence Interval and Sample Bias
A case study to make decisions based on Data
Section 2: Powering your decisions with Charts (Tableau Public)
Present reports and evaluate information presented in reports
Showcasing scenarios where making charts can give better insights, such as identifying stock trends, Regional Patterns of Sales in a color-coded map, the relation between two features (etc.)
Introduction to Tableau using a case study.
Asking questions that require the use of different kinds of charts to answer them
Joins in Tableau
Summary of different types of charts and where to use each one of them.
Exercise at the end of the section to strengthen your concepts.
Section 3: Making Predictions for Future Readiness
Identify the type of machine learning problems
Understand why we make predictions and what are some simple methods explained using a case study that will talk about simple predictions based on average, rule-based predictions, predictions using machine learning, etc.
Best Practices to evaluate predictions and introduce concepts around evaluation metrics, train-test sets, benchmarks, etc
Understand Machine Learning and its applications
Checklist to go through if Machine Learning would be a good choice
Section 4: Introduction to a No-Code tool (Orange) using a case study
Make predictions by building machine learning models on a no-code tool - Orange Data Mining.
Assess the quality of predictions and approach of ML models created by others/team members using Orange.
Go through multiple case studies to get familiar with Orange. Each case study would start with a problem statement and data, and the participants would have to identify the target variable, features to skip, select features, and kind of problem (Classification, Regression, Clustering) When to use Deep Learning.
Demo of K-Nearest Neighbors, Decision Tree, Random Forest, Logistic Regression, K-Means, Hierarchical Clustering, etc in Orange
Best practices to create good Machine Learning models
Discussion on Model Deployment and rate of predictions
Section 5: Deep Learning and Ethics in AI
Create Deep Learning models using a no-code tool - Orange Data Mining.
Create a Deep Learning model for Text Data using Orange.
Create a Deep Learning model for Image Data using Orange.
Understand how deep learning stems as the basic building block for Generative AI.
Get familiar with Generative AI tools such as ChatGPT and DALL-E to quickly generate text and images and get ahead of the curve.
Understand the ethical concerns related to AI and how it has become even more relevant with the advent of Generative AI.
By the end of this course, you'll have a deep understanding of essential statistical metrics and predictive methods and the confidence to apply them effectively without writing a single line of code. Embrace this opportunity to become a data-savvy decision-maker, and let our course be your guide in this transformative process.
Your journey toward data-driven excellence starts here, and we can't wait to see the positive impact you'll make with your newfound knowledge and skills. We understand that the path to data-driven excellence can be daunting, filled with complex algorithms, massive datasets, and intricate visualizations. But fear not because you're not alone on this journey. With the right tools and guidance, you'll soon realize that data is not an obstacle but an invaluable asset waiting to be unlocked.
As you embark on this transformative path, remember that every data point you analyze, create a chart, and gain insight contribute to a broader understanding of your organization's goals and challenges. Your newfound skills will make you an asset to your team and position you as a catalyst for organizational change.
So whether you're a beginner just getting your feet wet or a seasoned professional looking to refine your skills, embrace the journey ahead. The road to data-driven excellence is a marathon, not a sprint. But every step you take is a stride towards a more informed, effective, and impactful future. We're excited to support you every step of the way.
Don't wait – enroll now and unleash the power of No-Code AI for your career.
■講座の概要
この講座ではChatGPTをビジネスシーンで活用し、業務の効率化・高度化を実現する方法について開設をしています
■講座受講後の状態
この講座を受講するとChatGPTを使ってこのようなことができるようになります。
リサーチの効率化
Excel関数の作成
基礎的なデータ分析
プレゼン資料・現行の作成
ビジネスメールの作成
■講座の特徴
ChatGPTの概要や仕組み・特性など基本的な部分も解説しているので、ChatGPTにあまり詳しくない人でも安心して受講できます
3時間以内で講座を受講し終えることができるので、短時間でChatGPTの実践活用方法について学習できます
■こんな人におすすめ！
ChatGPTをどのように業務で活用するのか知りたい人
ChatGPTの活用方法を幅広く網羅的に知りたい人
ChatGPTについて気軽に学習したい人
■注意事項
PCの使用を前提としています
講座内容は2023年8月時点のものです
講座内容の一部で有料プラン(ChatGPTPlus)の内容を紹介しています
■講座の概要
この講座ではChatGPTをビジネスシーンで活用し、業務の効率化・高度化を実現する方法について開設をしています
■講座受講後の状態
この講座を受講するとChatGPTを使ってこのようなことができるようになります。
リサーチの効率化
Excel関数の作成
基礎的なデータ分析
プレゼン資料・現行の作成
ビジネスメールの作成
■講座の特徴
ChatGPTの概要や仕組み・特性など基本的な部分も解説しているので、ChatGPTにあまり詳しくない人でも安心して受講できます
3時間以内で講座を受講し終えることができるので、短時間でChatGPTの実践活用方法について学習できます
■こんな人におすすめ！
ChatGPTをどのように業務で活用するのか知りたい人
ChatGPTの活用方法を幅広く網羅的に知りたい人
ChatGPTについて気軽に学習したい人
■注意事項
PCの使用を前提としています
講座内容は2023年8月時点のものです
講座内容の一部で有料プラン(ChatGPTPlus)の内容を紹介しています
人工智能（AI）是当下最火热的赛道之一。不管你是AI产品方向的从业者，还是其他对新兴技术感兴趣的人员，相信你都思考过像AI这类的新兴技术究竟能如何运用到具体的业务实践，实现AI的商业价值呢？然而整体来看，目前AI的商业化并不算十分顺利，这背后的原因到底是什么？要如何做才能实现像AI这类创新技术的成功商业化呢？
我们特邀在AI产品领域已经沉浸多年，主导过多个千万级AI项目落地应用的城南老师，为你讲解相关内容。
课程先从创新AI技术的窘境的出发，剖析了新技术无法市场落地的背后原因，接着给出了AI技术实现商业化的“三步走”方法及相应的操作要点，并辅以生动的案例讲解。
希望课程能够帮助你建立AI等新兴技术实现商业化的完整思考逻辑，推动技术的商业落地。
人工智能（AI）是当下最火热的赛道之一。不管你是AI产品方向的从业者，还是其他对新兴技术感兴趣的人员，相信你都思考过像AI这类的新兴技术究竟能如何运用到具体的业务实践，实现AI的商业价值呢？然而整体来看，目前AI的商业化并不算十分顺利，这背后的原因到底是什么？要如何做才能实现像AI这类创新技术的成功商业化呢？
我们特邀在AI产品领域已经沉浸多年，主导过多个千万级AI项目落地应用的城南老师，为你讲解相关内容。
课程先从创新AI技术的窘境的出发，剖析了新技术无法市场落地的背后原因，接着给出了AI技术实现商业化的“三步走”方法及相应的操作要点，并辅以生动的案例讲解。
希望课程能够帮助你建立AI等新兴技术实现商业化的完整思考逻辑，推动技术的商业落地。
Artificial Intelligence (AI) has brought about significant transformations in the business landscape, revolutionizing how companies operate, make decisions, and interact with customers. Its impact can be seen across various industries and business functions, leading to increased efficiency, innovation, and competitive advantage. The trends and examples in this course highlight how AI is reshaping business processes, enhancing customer experiences, and unlocking new opportunities for growth and innovation across various industries. This comprehensive online course is designed to provide business professionals with a solid understanding of how to effectively integrate artificial intelligence (AI) technologies into various aspects of business operations. From decision-making to customer engagement, participants will learn practical strategies for harnessing the power of AI to drive innovation, increase efficiency, and achieve competitive advantages. Balancing the benefits of AI with the challenges of AI deployment requires careful planning, strategy, and a commitment to responsible and ethical AI deployment. In this first module in Leveraging AI in Business, Introduction to AI in Business, you will learn the different types of AI, the terms used when talking about this emerging exciting field, how it has impacted businnesses and the benefits and challenges businesses face in its deployment. Enjoy learning about this exciting new era of human innovation and use what you know to grow your business!
Artificial Intelligence (AI) has brought about significant transformations in the business landscape, revolutionizing how companies operate, make decisions, and interact with customers. Its impact can be seen across various industries and business functions, leading to increased efficiency, innovation, and competitive advantage. The trends and examples in this course highlight how AI is reshaping business processes, enhancing customer experiences, and unlocking new opportunities for growth and innovation across various industries. This comprehensive online course is designed to provide business professionals with a solid understanding of how to effectively integrate artificial intelligence (AI) technologies into various aspects of business operations. From decision-making to customer engagement, participants will learn practical strategies for harnessing the power of AI to drive innovation, increase efficiency, and achieve competitive advantages. Balancing the benefits of AI with the challenges of AI deployment requires careful planning, strategy, and a commitment to responsible and ethical AI deployment. In this first module in Leveraging AI in Business, Introduction to AI in Business, you will learn the different types of AI, the terms used when talking about this emerging exciting field, how it has impacted businnesses and the benefits and challenges businesses face in its deployment. Enjoy learning about this exciting new era of human innovation and use what you know to grow your business!