Build your first AI Stock Predictor using Amazon Forecast from Coursera

Based on the same technology used at amazon.com, AWS Forecast helps businesses and enterprises around the world to build accurate forecast. AWS Forecast is a machine learning service using which you could build forecast for multiple domains such as retail, inventory planning,etc. AWS Forecast also has automated machine learning capabilities which frees developers from many complexities of developing forecasting model from scratch and also saving the time. By the end of this course, you shall learn how to build your first AI Based stock market forecast using AWS Forecast. You shall also learn what are the different algorithms which are available as part of AWS Forecast and also how easy it is to train and deploy them. Please note: As part of this course, you would need your AWS Account to complete the course. It would be charged as per your usage of AWS Foreacst service. However, if you are using AWS Forecast for the first time, at the time of creating this course â€“ AWS provides 10 hours of free hours to train or evaluate the model and 5 GB of storage during the first month. Overall you need to use this service within the first 1 month post which you shall be charged

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Designed for those seeking an introduction to AWS Forecast and its capabilities in creating accurate forecasts

Suitable for professionals in business or enterprise settings who seek to improve forecasting accuracy using machine learning

Assumes no prior experience with AWS Forecast, making it accessible to beginners in the field

Provides practical insights into building and deploying AI-based stock market forecasts using AWS Forecast

Offers an overview of various algorithms available within AWS Forecast

Reviews summary

Aws forecast for ai stock prediction

This course teaches you how to build an AI-powered stock market predictor using Amazon Forecast. While some learners have had success with the course, others have reported issues with outdated AWS updates and incurred unexpected charges. Proceed with caution.

Straightforward explanations

"Good"

May lack advanced concepts

"The content is a bit too light."

Possible out-of-date content and unexpected billing

"Useful insights, but the AWS shown in the course is out-of-date and the final step to view your price forecasts no longer exists in AWS."

"Updated as I've now received a bill from AWS for over US$50! I'm outraged that this has happened after following the course to the letter."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Build your first AI Stock Predictor using Amazon Forecast with these activities:

Recall techniques for automating AI models

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Review techniques for automating the training and deployment of AI models to enhance efficiency and reduce manual effort.

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Study materials on AI model automation tools and techniques from reputable sources such as AWS documentation or white papers.
Practice using automation tools such as AWS AutoML or SageMaker Pipelines to automate model training and deployment.

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Career center

Learners who complete Build your first AI Stock Predictor using Amazon Forecast will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design, build, and deploy machine learning models. They work with data scientists to develop the models, and then work with software engineers to integrate the models into production systems. This course may be useful for those interested in a career as a Machine Learning Engineer, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

See salaries and explore the career path for Machine Learning Engineer

Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to solve complex problems in a variety of industries, including finance, healthcare, and manufacturing. They develop and implement optimization strategies to improve efficiency and productivity. This course may be useful for those interested in a career as an Operations Research Analyst, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

See salaries and explore the career path for Operations Research Analyst

Statistician

Statisticians collect, analyze, and interpret data to draw conclusions about the world around us. They work in a variety of fields, including finance, healthcare, and marketing. This course may be useful for those interested in a career as a Statistician, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

See salaries and explore the career path for Statistician

Data Scientist

Data Scientists use data to solve business problems and develop new products and services. They collect, clean, and analyze data, and then build machine learning models to make predictions or recommendations. This course may be useful for those interested in a career as a Data Scientist, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts collect, clean, and analyze data to identify trends and patterns. They present their findings to stakeholders to help them make informed decisions. This course may be useful for those interested in a career as a Data Analyst, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

See salaries and explore the career path for Data Analyst

Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They work in a variety of industries, including insurance, finance, and healthcare. This course may be useful for those interested in a career as an Actuary, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

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Risk Manager

Risk Managers identify and assess risks that could impact an organization's financial performance or reputation. They develop and implement risk management strategies to mitigate these risks. This course may be useful for those interested in a career as a Risk Manager, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

See salaries and explore the career path for Risk Manager

Market Researcher

Market Researchers study the market to understand the needs and wants of consumers. They use data and analysis to identify trends and opportunities, and to develop marketing strategies. This course may be useful for those interested in a career as a Market Researcher, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

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Business Analyst

Business Analysts use data and analysis to help businesses improve their performance. They work with stakeholders to identify business problems, develop solutions, and implement change. This course may be useful for those interested in a career as a Business Analyst, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

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Software Engineer

Software Engineers design, build, and maintain software applications. They work with a variety of programming languages and technologies to create software that meets the needs of users. This course may be useful for those interested in a career as a Software Engineer, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

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Financial Analyst

Financial Analysts use financial data to make investment recommendations and advise clients on financial matters. They analyze financial statements, market trends, and other data to make informed decisions about investments. This course may be useful for those interested in a career as a Financial Analyst, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

See salaries and explore the career path for Financial Analyst

Risk Analyst

Risk Analysts identify and assess risks that could impact an organization's financial performance or reputation. They develop and implement risk management strategies to mitigate these risks. This course may be useful for those interested in a career as a Risk Analyst, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

See salaries and explore the career path for Risk Analyst

Financial Planner

Financial Planners help individuals and families plan for their financial future. They develop investment strategies, retirement plans, and other financial products to help their clients achieve their financial goals. This course may be useful for those interested in a career as a Financial Planner, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

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Economist

Economists study the production, distribution, and consumption of goods and services. They use data and analysis to understand how the economy works and to make predictions about the future. This course may be useful for those interested in a career as an Economist, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

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Quantitative Analyst

Quantitative Analysts, or Quants, use mathematical and statistical modeling to solve complex problems in finance. They develop and implement trading strategies, risk management models, and other financial applications. This course may be useful for those interested in a career as a Quant, as it provides a foundation in machine learning and forecasting techniques that are commonly used in this field.

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Build your first AI Stock Predictor using Amazon Forecast

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Aws forecast for ai stock prediction

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