Don’t be replaced by AI, surf the wave of AI!!
What is ChatGPT? Can it really help me in my day to day? Those are questions you might be asking yourself right now.
Since the launch of ChatGPT 3.0 there has been a lot of hype around AI and lots of talking about how it will change work in the future. But the technology is already here, do you know how it can change your work today?
This course is designed for those professionals who want to stay ahead of the curve and learn how to to get the most out of AI to become better professionals, stay ahead of the competition, and get access to new higher paying jobs.
By joining this course, you will be on the bleeding edge of innovation and expertise on your field. This course will help you open opportunities for new and exciting roles in finance.
In this course we will discuss the different uses of ChatGPT for finance applications. We will talk about tasks ChatGPT can assist you with, and we will enter into detail on how to use ChatGPT and other AI applications for those tasks.
You will learn how to communicate with ChatGPT and how to upload financial data to the AI model.
And we will also review the limitations of the model, to avoid errors and make a proper use of this new technology.
MONEY-BACK GUARANTEE
This ChatGPT for finance course comes with an unconditional, Udemy-backed, 30-day money-back guarantee. This is not just a guarantee, it's our personal promise to you that we will go out of our way to help you succeed just like we've done for thousands of our other students.
Invest in your future. Enroll now.
Don’t be replaced by AI, surf the wave of AI!!
What is ChatGPT? Can it really help me in my day to day? Those are questions you might be asking yourself right now.
Since the launch of ChatGPT 3.0 there has been a lot of hype around AI and lots of talking about how it will change work in the future. But the technology is already here, do you know how it can change your work today?
This course is designed for those professionals who want to stay ahead of the curve and learn how to to get the most out of AI to become better professionals, stay ahead of the competition, and get access to new higher paying jobs.
By joining this course, you will be on the bleeding edge of innovation and expertise on your field. This course will help you open opportunities for new and exciting roles in finance.
In this course we will discuss the different uses of ChatGPT for finance applications. We will talk about tasks ChatGPT can assist you with, and we will enter into detail on how to use ChatGPT and other AI applications for those tasks.
You will learn how to communicate with ChatGPT and how to upload financial data to the AI model.
And we will also review the limitations of the model, to avoid errors and make a proper use of this new technology.
MONEY-BACK GUARANTEE
This ChatGPT for finance course comes with an unconditional, Udemy-backed, 30-day money-back guarantee. This is not just a guarantee, it's our personal promise to you that we will go out of our way to help you succeed just like we've done for thousands of our other students.
Invest in your future. Enroll now.
Welcome to Stock Market Analysis & Dividend Investing with AI course. This is a comprehensive tutorial designed for investors seeking a deeper understanding of stock market dynamics and the integration of cutting-edge Artificial Intelligence technologies into their investment strategies. This course will give you a whole new perspective about the future of stock market investment. You will be amazed by how far artificial intelligence has advanced in the past few years to the point where you can use AI to analyse the stock market, perform sentiment analysis, automate financial report analysis and conduct risk management. In the introduction session, you will learn about AI applications in stock market analysis and understand how it can help investors to make better investment decisions. Then, we are going to enter the project section, in the first section, you will learn to analyse the stock market and conduct investment research using ten AI tools like Decode Investing, Hoops AI, Ainvest, Stock Insights AI, Finchat IO, Ask Stock GPT, Foliko Insight, Uptrend AI, Composer Trade, Pluto, and Cotter AI. In the second project, you will learn to perform stock market sentiment analysis using AI tools like Hype Index AI, FlowGPT, and Monkee Math, In the third section, you will also learn to analyse financial report using AI tools like Beebee AI and Chat CSV, the process is going to be straightforward, you only need to upload the financial report and AI is going to generate a valuable insights, even more exciting, you can ask any question about the financial report. Meanwhile, in the fourth section, you will conduct risk assessment and risk management using Gorilla Terminal. Lastly, in the fifth section, you will learn to manage your stock investment portfolio using an AI tool called Portfolio Pilot. Besides analysing the stock market, you will also learn about dividend investing and understand how it can potentially generate you a sustainable passive income. So, in the next session, you will get to know the difference between capital gain and dividend income. In addition to that, we are also going to have a case study where we are going to calculate the ideal amount of investment that you need to make to be able to live off the dividend. Last but not least, at the end of the course, you are going to learn about the importance of diversifying your stock investment portfolio. In this section, you'll explore various aspects of diversification, including spreading investments across different industry sectors, diversifying stocks with various market capitalisations, and managing exposure to market volatility.
Firstly, before getting into the course, we need to ask this question to ourselves: why should we analyse the stock market using AI? Well, there are many reasons and let me answer that question. First of all, AI can help investors to get valuable market insights and analyse financial documents very quickly and accurately which can be very helpful when you are conducting analysis. Can you imagine how long it will take you to read and analyse financial reports manually? Well, it is going to be time consuming and using AI will definitely speed up the process. Besides that AI also has the ability to spot patterns in the stock market that might be difficult for you to see. Most importantly AI doesn't get emotional like humans do. Emotions can sometimes mess up your decisions. Therefore, AI can help you to make better and wiser investment decisions that are not influenced by human emotions.
Below are things that you can expect to learn from this course:
Learn about AI applications in stock market analysis
Learn how to do investment research using Ainvest, Hoops AI, Finchat IO, Stock GPT, Stock Insights AI, and Pluto Fi
Learn how to do investment research using Foliko and find trending stocks using Uptrend AI
Learn how to do investment research and do risk analysis using Decode Investing
Learn how to create investment strategy using Composer Trade
Learn to do stock scoring analysis using Cotter AI
Learn how to do stock sentiment analysis using Hype Index AI, FlowGPT, and Monkee Math
Learn how to analyse financial statement using Chat CSV
Learn how to analyse financial report using Beebee AI
Learn how to perform risk management using Gorilla Terminal
Learn how to manage stock portfolio using Portfolio Pilot
Learn basic fundamentals of capital gain and dividend income
Case study: calculating initial investment that need to be made to live off dividend
Learn how to diversify stock portfolio and conduct risk analysis
Welcome to Stock Market Analysis & Dividend Investing with AI course. This is a comprehensive tutorial designed for investors seeking a deeper understanding of stock market dynamics and the integration of cutting-edge Artificial Intelligence technologies into their investment strategies. This course will give you a whole new perspective about the future of stock market investment. You will be amazed by how far artificial intelligence has advanced in the past few years to the point where you can use AI to analyse the stock market, perform sentiment analysis, automate financial report analysis and conduct risk management. In the introduction session, you will learn about AI applications in stock market analysis and understand how it can help investors to make better investment decisions. Then, we are going to enter the project section, in the first section, you will learn to analyse the stock market and conduct investment research using ten AI tools like Decode Investing, Hoops AI, Ainvest, Stock Insights AI, Finchat IO, Ask Stock GPT, Foliko Insight, Uptrend AI, Composer Trade, Pluto, and Cotter AI. In the second project, you will learn to perform stock market sentiment analysis using AI tools like Hype Index AI, FlowGPT, and Monkee Math, In the third section, you will also learn to analyse financial report using AI tools like Beebee AI and Chat CSV, the process is going to be straightforward, you only need to upload the financial report and AI is going to generate a valuable insights, even more exciting, you can ask any question about the financial report. Meanwhile, in the fourth section, you will conduct risk assessment and risk management using Gorilla Terminal. Lastly, in the fifth section, you will learn to manage your stock investment portfolio using an AI tool called Portfolio Pilot. Besides analysing the stock market, you will also learn about dividend investing and understand how it can potentially generate you a sustainable passive income. So, in the next session, you will get to know the difference between capital gain and dividend income. In addition to that, we are also going to have a case study where we are going to calculate the ideal amount of investment that you need to make to be able to live off the dividend. Last but not least, at the end of the course, you are going to learn about the importance of diversifying your stock investment portfolio. In this section, you'll explore various aspects of diversification, including spreading investments across different industry sectors, diversifying stocks with various market capitalisations, and managing exposure to market volatility.
Firstly, before getting into the course, we need to ask this question to ourselves: why should we analyse the stock market using AI? Well, there are many reasons and let me answer that question. First of all, AI can help investors to get valuable market insights and analyse financial documents very quickly and accurately which can be very helpful when you are conducting analysis. Can you imagine how long it will take you to read and analyse financial reports manually? Well, it is going to be time consuming and using AI will definitely speed up the process. Besides that AI also has the ability to spot patterns in the stock market that might be difficult for you to see. Most importantly AI doesn't get emotional like humans do. Emotions can sometimes mess up your decisions. Therefore, AI can help you to make better and wiser investment decisions that are not influenced by human emotions.
Below are things that you can expect to learn from this course:
Learn about AI applications in stock market analysis
Learn how to do investment research using Ainvest, Hoops AI, Finchat IO, Stock GPT, Stock Insights AI, and Pluto Fi
Learn how to do investment research using Foliko and find trending stocks using Uptrend AI
Learn how to do investment research and do risk analysis using Decode Investing
Learn how to create investment strategy using Composer Trade
Learn to do stock scoring analysis using Cotter AI
Learn how to do stock sentiment analysis using Hype Index AI, FlowGPT, and Monkee Math
Learn how to analyse financial statement using Chat CSV
Learn how to analyse financial report using Beebee AI
Learn how to perform risk management using Gorilla Terminal
Learn how to manage stock portfolio using Portfolio Pilot
Learn basic fundamentals of capital gain and dividend income
Case study: calculating initial investment that need to be made to live off dividend
Learn how to diversify stock portfolio and conduct risk analysis
Learn about manufacturing systems and ways to analyze them in terms of material flow and storage, information flow, capacities, and times and durations of events,Fundamentals of Manufacturing System Design and Analysis.
In this course, part of the Principles of Manufacturing , you will learn how to analyze manufacturing systems to optimize performance and control cost. You will develop an understanding of seemingly opaque production lines with a particular emphasis on random disruptive events – their effects and how to deal with them, as well as inventory dynamics and management.
Manufacturing systems are complex and require decision-making skills and analytical analysis. Managers and practitioners use a wide variety of methods to optimize the performance of manufacturing systems and control costs. The many processes and functions involved in building and maintaining these systems demand a high-level of knowledge.
In this course, you will learn about these various methods and processes. We will start with a review of The Manufacturing Process: Steps & Types MRP Basics and Your First Manufacturing Order. Lastly, we will introduce stochastic manufacturing systems models developed here at MIT.
This course provides ways to analyze manufacturing systems in terms of material flow and storage, information flow, capacities, and times and durations of events. Fundamental topics include probability, inventory and queuing models, optimization, and linear and dynamic systems. Factory planning and scheduling topics include flow planning, bottleneck characterization, buffer and batch-size analysis, and dynamic behavior of production systems.
This course covers the following topics: models of manufacturing systems, including transfer lines and flexible manufacturing systems; calculation of performance measures, including throughput, in-process inventory, and meeting production commitments; real-time control of scheduling; effects of machine failure, set-ups, and other disruptions on system performance.
Course Goals
After completing this course, participants will be able to:
Compare and contrast different types of discrete manufacturing systems
Describe terminology related to discrete manufacturing systems
Calculate and interpret common performance metrics for operations (e.g. cycle time, flow time, utilization, WIP)
Apply Little’s Law to determine flow time given WIP and WIP given flow time
Evaluate different ways of assigning operators to cells or production lines .
Explain continuous improvement philosophies and how they relate to manufacturing system fundamentals (brief introduction to Lean, Theory of Constraints, Agile Manufacturing, and Quick Response Manufacturing).
Leverage strategy deployment for effective implementation
Who Should Attend?
Industrial/Manufacturing Engineers
Operations Managers
Anyone Involved with Continuous Improvement of Manufacturing Systems
Learn about manufacturing systems and ways to analyze them in terms of material flow and storage, information flow, capacities, and times and durations of events,Fundamentals of Manufacturing System Design and Analysis.
In this course, part of the Principles of Manufacturing , you will learn how to analyze manufacturing systems to optimize performance and control cost. You will develop an understanding of seemingly opaque production lines with a particular emphasis on random disruptive events – their effects and how to deal with them, as well as inventory dynamics and management.
Manufacturing systems are complex and require decision-making skills and analytical analysis. Managers and practitioners use a wide variety of methods to optimize the performance of manufacturing systems and control costs. The many processes and functions involved in building and maintaining these systems demand a high-level of knowledge.
In this course, you will learn about these various methods and processes. We will start with a review of The Manufacturing Process: Steps & Types MRP Basics and Your First Manufacturing Order. Lastly, we will introduce stochastic manufacturing systems models developed here at MIT.
This course provides ways to analyze manufacturing systems in terms of material flow and storage, information flow, capacities, and times and durations of events. Fundamental topics include probability, inventory and queuing models, optimization, and linear and dynamic systems. Factory planning and scheduling topics include flow planning, bottleneck characterization, buffer and batch-size analysis, and dynamic behavior of production systems.
This course covers the following topics: models of manufacturing systems, including transfer lines and flexible manufacturing systems; calculation of performance measures, including throughput, in-process inventory, and meeting production commitments; real-time control of scheduling; effects of machine failure, set-ups, and other disruptions on system performance.
Course Goals
After completing this course, participants will be able to:
Compare and contrast different types of discrete manufacturing systems
Describe terminology related to discrete manufacturing systems
Calculate and interpret common performance metrics for operations (e.g. cycle time, flow time, utilization, WIP)
Apply Little’s Law to determine flow time given WIP and WIP given flow time
Evaluate different ways of assigning operators to cells or production lines .
Explain continuous improvement philosophies and how they relate to manufacturing system fundamentals (brief introduction to Lean, Theory of Constraints, Agile Manufacturing, and Quick Response Manufacturing).
Leverage strategy deployment for effective implementation
Who Should Attend?
Industrial/Manufacturing Engineers
Operations Managers
Anyone Involved with Continuous Improvement of Manufacturing Systems
Manufacturing Efficiency and Sustainability How To Measure and Improve Production
It doesn’t matter what industry you work in or what types of finished products or goods you produce: you always want to maximize your efficiency in a manufacturing setting. But finding the areas that can help you increase your efficiency isn’t always easy, especially if you think you’re already working at your highest level of efficiency.
The truth is that there is room for improvement in every factory. This course will help you understand everything you need to know about improving manufacturing efficiency. and the seven steps you can take today to improve your manufacturing process and meet your output goals.
The course will answer the following:
How To Improve Manufacturing Efficiency in 7 Steps
1) Invest in Technology and Automation
2) Reduce the Volume of Materials You’re Wasting
3) Consider Implementing Lean Manufacturing Techniques
4) Provide Quality Training to Team Members
5) Organize Your Manufacturing Factory Workspace
6) Standardize Even Simple Tasks
7) Motivate and Engage Your Team Members
Stages for Improving Manufacturing Cycle EfficiencyManufacturing cycle efficiency begins far before a widget is produced, and continues after production as well.
It’s important for companies to take into consideration all elements of this timeline in order to provide a product that ensures a competitive cycle time.
Manufacturing Systems I
Learn about manufacturing systems and ways to analyze them in terms of material flow and storage, information flow, capacities, and times and durations of events, especially random events.
Manufacturing Efficiency and Sustainability How To Measure and Improve Production
It doesn’t matter what industry you work in or what types of finished products or goods you produce: you always want to maximize your efficiency in a manufacturing setting. But finding the areas that can help you increase your efficiency isn’t always easy, especially if you think you’re already working at your highest level of efficiency.
The truth is that there is room for improvement in every factory. This course will help you understand everything you need to know about improving manufacturing efficiency. and the seven steps you can take today to improve your manufacturing process and meet your output goals.
The course will answer the following:
How To Improve Manufacturing Efficiency in 7 Steps
1) Invest in Technology and Automation
2) Reduce the Volume of Materials You’re Wasting
3) Consider Implementing Lean Manufacturing Techniques
4) Provide Quality Training to Team Members
5) Organize Your Manufacturing Factory Workspace
6) Standardize Even Simple Tasks
7) Motivate and Engage Your Team Members
Stages for Improving Manufacturing Cycle EfficiencyManufacturing cycle efficiency begins far before a widget is produced, and continues after production as well.
It’s important for companies to take into consideration all elements of this timeline in order to provide a product that ensures a competitive cycle time.
Manufacturing Systems I
Learn about manufacturing systems and ways to analyze them in terms of material flow and storage, information flow, capacities, and times and durations of events, especially random events.
Are you ready to master the art of Payroll Management while harnessing the power of artificial intelligence?
Welcome to "Payroll Management using ChatGPT on Excel from Scratch," a comprehensive e-Learning course that empowers you to efficiently handle payroll processes from the ground up, with the added advantage of ChatGPT's guidance and automation.
This course is designed for beginners and intermediate users who want to excel in managing payroll using the world's most popular spreadsheet software, Microsoft Excel. The unique feature of this course is the integration of ChatGPT, which provides real-time assistance, answers your questions, and guides you through complex payroll tasks.
Throughout this course, you will gain proficiency in essential payroll functions, including calculating gross pay, handling deductions and taxes, automating Income Tax Calculation using Old and New Tax Regime 2023-24 and generating Pay slips.
You'll also learn to automate complex calculations and create professional payroll reports.
With practical exercises and hands-on experience, you'll become a payroll management expert, able to handle various payroll scenarios with confidence.
By the end of the course, you'll not only possess the skills to efficiently manage payroll but also the knowledge to leverage the power of ChatGPT and Excel for increased productivity and accuracy.
Join us on this Payroll management journey and let ChatGPT and Excel transform the way you handle payroll tasks.
Enroll today and take your payroll management skills to the next level.
Are you ready to master the art of Payroll Management while harnessing the power of artificial intelligence?
Welcome to "Payroll Management using ChatGPT on Excel from Scratch," a comprehensive e-Learning course that empowers you to efficiently handle payroll processes from the ground up, with the added advantage of ChatGPT's guidance and automation.
This course is designed for beginners and intermediate users who want to excel in managing payroll using the world's most popular spreadsheet software, Microsoft Excel. The unique feature of this course is the integration of ChatGPT, which provides real-time assistance, answers your questions, and guides you through complex payroll tasks.
Throughout this course, you will gain proficiency in essential payroll functions, including calculating gross pay, handling deductions and taxes, automating Income Tax Calculation using Old and New Tax Regime 2023-24 and generating Pay slips.
You'll also learn to automate complex calculations and create professional payroll reports.
With practical exercises and hands-on experience, you'll become a payroll management expert, able to handle various payroll scenarios with confidence.
By the end of the course, you'll not only possess the skills to efficiently manage payroll but also the knowledge to leverage the power of ChatGPT and Excel for increased productivity and accuracy.
Join us on this Payroll management journey and let ChatGPT and Excel transform the way you handle payroll tasks.
Enroll today and take your payroll management skills to the next level.