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How to Make AI Feel Less Like Sci-Fi

In this talk, Chloe Condon will share how you can build and train your own models and add even more intelligence to your apps with Azure AI + Cognitive Services!

"Artificial Intelligence" may seem like a deeply complex and technical topic- but did you know you can build your own models with zero code? In this talk, Chloe Condon will share how you can build and train your own models and add even more intelligence to your apps with Azure AI + Cognitive Services!

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What's inside

Syllabus

How to Make AI Feel Less Like Sci-Fi

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers how technology and creativity together can be used to advance a career

Teaches the fundamentals of healthcare, which is necessary to progress

Explores the future of healthcare, which is a growing field

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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 How to Make AI Feel Less Like Sci-Fi with these activities:

Review the course syllabus and identify any topics that need additional reinforcement

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Ensure that you have a strong foundation in the prerequisite knowledge for this course.

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Go through the course syllabus and identify the key topics covered
Reflect on your own knowledge and skills and identify any areas where you may need additional support
Make a plan to review the necessary materials or seek additional resources to strengthen your understanding

Connect with a mentor who has experience in machine learning

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Gain insights and guidance from someone who has successfully navigated the field of machine learning.

Browse courses on Mentorship

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Attend networking events or join online communities related to machine learning
Reach out to potential mentors and express your interest in their expertise
Set up regular meetings to discuss your progress and seek advice

Review key concepts in Azure AI

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Prepare for the course by refreshing your understanding of Azure AI and machine learning principles.

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Revisit the Azure AI documentation
Review tutorials on Azure AI

Eight other activities

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Review online tutorials on how to build and train machine learning models

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Start the course prepared with a better understanding of the fundamentals of building and training machine learning models.

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Search for and watch video tutorials on YouTube or Coursera
Look for tutorials that cover the basics of machine learning, such as supervised and unsupervised learning
Take notes on the key concepts and techniques discussed in the tutorials

Complete a guided tutorial on how to use Azure AI + Cognitive Services

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Become familiar with the Azure AI + Cognitive Services platform by following a guided tutorial.

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Find a tutorial that aligns with your interests and skill level
Follow the tutorial step-by-step and complete all the exercises
Experiment with different options and settings to understand how they affect the results

Solve practice problems on Kaggle or LeetCode related to machine learning

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Challenge your understanding of machine learning concepts by solving practice problems.

Browse courses on Kaggle Competitions

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Create an account on Kaggle or LeetCode
Search for practice problems related to machine learning
Attempt to solve the problems on your own
Review your solutions and identify areas for improvement

Build a simple model using Azure AI

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Apply your understanding of Azure AI by creating a basic model.

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Choose a project idea
Gather data
Create a model using Azure AI services
Train and evaluate the model

Build a simple machine learning model using a pre-trained dataset

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Gain hands-on experience in building and training machine learning models by completing a project.

Browse courses on Machine Learning Projects

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Choose a pre-trained dataset from a reputable source like Kaggle or UCI Machine Learning Repository
Use a machine learning library like scikit-learn or TensorFlow to build a simple model
Train the model on the dataset and evaluate its performance
Write a report summarizing the results of your project

Follow tutorials on advanced Azure AI techniques

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Expand your knowledge of Azure AI by exploring advanced topics through tutorials.

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Identify specific Azure AI techniques you want to learn
Find tutorials on those techniques
Follow the tutorials and practice the techniques

Write a blog post or article about your experience building and training a machine learning model

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Solidify your understanding of machine learning by documenting your experiences and sharing them with others.

Browse courses on Technical Writing

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Choose a topic that you are passionate about and have experience with
Write a detailed outline of your article or blog post
Research and gather relevant information to support your points
Write the first draft of your article or blog post
Review and edit your work for clarity, conciseness, and accuracy

Write a blog post or article about Azure AI

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Reinforce your understanding of Azure AI by sharing your knowledge with others.

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Choose a topic related to Azure AI
Research the topic and gather information
Write the blog post or article

Career center

Learners who complete How to Make AI Feel Less Like Sci-Fi will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models to solve real-world problems. This course, 'How to Make AI Feel Less Like Sci-Fi,' would be a great way to learn the basics of machine learning and how to use Azure AI + Cognitive Services to build and train your own models. This could give you a competitive edge for entry-level roles in the field.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use data to solve problems and make predictions. They use a variety of statistical techniques and machine learning algorithms to analyze data and build models. This course would be a great way to learn the basics of data science and how to use Azure AI + Cognitive Services to build and train your own models. This could help you succeed in a variety of roles, such as Data Analyst or Machine Learning Engineer.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and test software applications. They use a variety of programming languages and technologies to create software that meets the needs of users. This course would be a great way to learn the basics of software engineering, as well as how to use Azure AI + Cognitive Services to add intelligence to your applications.

See salaries and explore the career path for Software Engineer

Cloud Engineer

Cloud Engineers design, build, and manage cloud-based applications and infrastructure. They use a variety of cloud computing technologies and services to create scalable and reliable systems. This course would be a great way to learn the basics of cloud engineering, as well as how to use Azure AI + Cognitive Services to add intelligence to your cloud applications. This knowledge can set you up for success in a role such as a DevOps Engineer.

See salaries and explore the career path for Cloud Engineer

Business Analyst

Business Analysts work with businesses to identify and solve problems. They use a variety of techniques, including data analysis and process mapping, to identify areas for improvement. This course would be a great way to learn the basics of business analysis and how to use Azure AI + Cognitive Services to automate tasks and improve processes. This could lead to opportunities in the field of Process Improvement.

See salaries and explore the career path for Business Analyst

Project Manager

Project Managers plan, organize, and execute projects. They use a variety of project management tools and techniques to ensure that projects are completed on time, within budget, and to the required quality standards. This course would be a great way to learn the basics of project management and how to use Azure AI + Cognitive Services to automate tasks and improve project outcomes. The skills and knowledge you gain can make you a competitive candidate for Project Coordinator roles.

See salaries and explore the career path for Project Manager

Product Manager

Product Managers are responsible for the development and launch of new products. They work with a variety of stakeholders, including engineers, designers, and marketers, to ensure that products meet the needs of users. This course would be a great way to learn the basics of product management and how to use Azure AI + Cognitive Services to add intelligence to your products.

See salaries and explore the career path for Product Manager

Data Analyst

Data Analysts gather, analyze, and interpret data to identify trends and patterns. They use a variety of statistical techniques and data visualization tools to communicate their findings to stakeholders. This course would be a great way to learn the basics of data analysis and how to use Azure AI + Cognitive Services to automate tasks and improve data analysis processes.

See salaries and explore the career path for Data Analyst

IT Architect

IT Architects design and implement IT systems. They use a variety of technologies and tools to create systems that meet the needs of businesses. This course would be a great way to learn the basics of IT architecture and how to use Azure AI + Cognitive Services to add intelligence to your systems. This can help you to progress in roles such as Network or Cloud Architect.

See salaries and explore the career path for IT Architect

Information Security Analyst

Information Security Analysts protect computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They use a variety of security tools and techniques to monitor and protect systems from threats.

See salaries and explore the career path for Information Security Analyst

Network Engineer

Network Engineers design, implement, and manage computer networks. They use a variety of technologies and tools to create and maintain networks that meet the needs of businesses. This course would be a great way to learn the basics of network engineering and how to use Azure AI + Cognitive Services to add intelligence to your networks.

See salaries and explore the career path for Network Engineer

Database Administrator

Database Administrators maintain and manage databases. They use a variety of tools and techniques to ensure that databases are available, reliable, and secure. This course would be a great way to learn the basics of database administration and how to use Azure AI + Cognitive Services to add intelligence to your databases.

See salaries and explore the career path for Database Administrator

Systems Analyst

Systems Analysts analyze and design computer systems. They use a variety of techniques to identify and solve problems in existing systems and to design new systems that meet the needs of businesses.

See salaries and explore the career path for Systems Analyst

Technical Writer

Technical Writers create and maintain technical documentation, such as user manuals, white papers, and training materials. They use a variety of writing and editing skills to communicate complex technical information to a variety of audiences.

See salaries and explore the career path for Technical Writer

Web Developer

Web Developers design and develop websites. They use a variety of programming languages and technologies to create websites that are user-friendly and meet the needs of businesses.

See salaries and explore the career path for Web Developer

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in How to Make AI Feel Less Like Sci-Fi.

Human Compatible

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This comprehensive textbook provides a foundation in AI concepts, algorithms, and techniques. It covers a wide range of topics, including machine learning, natural language processing, computer vision, and robotics.

How to Make AI Feel Less Like Sci-Fi

Here's a deal for you

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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