Modern Artificial Intelligence with Zero Coding from Udemy

Do you want to build super-powerful applications in Artificial intelligence (AI) but you don’t know how to code?

Are you intimidated by AI and don’t know where to start?

Or maybe you don’t have a computer science degree and want to break into AI?

Are you an aspiring entrepreneur who wants to maximize business revenue and reduce costs with AI but don’t know how to get there quickly and efficiently?

If the answer is yes to any of these questions, then this course is for you.

Artificial intelligence is one of the top tech fields to be in right now.

AI will change our lives in the same way electricity did 100 years ago.

AI is widely adopted in Finance, banking, healthcare, transportation, and technology. The field is exploding with opportunities and career prospects.

This course solves a key problem which is making AI available to anyone with no coding background or computer science degree.

The purpose of this course is to provide you with knowledge of key aspects of modern AI without any intimidating mathematics and in a practical, easy, and fun way. The course provides students with practical hands-on experience using real-world datasets.

In this course, we will assume that you have been recently hired as a consultant at a start-up in San Francisco. The CEO has tasked you to apply cutting-edge AI techniques to 5 projects. There is only one caveat, your key data scientist quit on you and do not know how to code, and you need to generate results fast. In fact, you only have one week to solve these key company problems. You will be provided with datasets from all these departments and you will be asked to achieve the following tasks:

Project #1: Develop an AI model to detect people's emotions using Google Teachable Machines (Technology).
Project #2: Develop an AI model to detect and classify chest disease using X-Ray chest data using Google Teachable Machines (HealthCare).
Project #3: Predict Insurance Premium using Customer Features such as age, smoking habit, and geo-location using AWS AI AutoPilot (Business).
Project #4: Detect Cardiovascular Disease using DataRobot AI (HealthCare).
Project #5: Recognize food types and explore AI explainability using DataRobot AI (Technology).

What's inside

Learning objectives

Build, train and deploy ai models to detect people emotions using google teachable machine
Explain the difference between learning rate, epochs, batch size, accuracy and loss.
Predict insurance premium using customer features such as age, smoking habit and geo-location using aws ai autopilot
Build, train and deploy advanced ai to detect cardiovascular disease using datarobot ai
Leverage the power of ai to recognize food types using datarobot ai
Develop an ai model to detect and classify chest disease using x-ray chest data using google teachable machines
Evaluate trained ai models using various kpis such as confusion matrix, classification accuracy, and error rate
List the various advantages of transfer learning and know when to properly apply the technique to speed up training process

Understand the theory and intuition behind residual networks, a state-of-the-art deep neural networks that are widely adopted in business, and healthcare
Learn how to train multiple ai models based on xg-boost, artificial neural networks, random forest classifiers and compare their performance in datarobot
Understand the impact of classifier threshold on false positive rate (fallout) and true positive rate (sensitivity)
Learn how to use sagemaker studio automl tool to build, train and deploy ai/ml models which requires almost zero coding experience
Differentiate between various regression models kpis such as r2 or coefficient of determination, mean absolute error, mean squared error, and root mean squared error
Build, train and deploy xgboost-based algorithm to perform regression tasks using aws sagemaker autopilot
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Build, train and deploy ai models to detect people emotions using google teachable machine
Explain the difference between learning rate, epochs, batch size, accuracy and loss.
Predict insurance premium using customer features such as age, smoking habit and geo-location using aws ai autopilot
Build, train and deploy advanced ai to detect cardiovascular disease using datarobot ai
Leverage the power of ai to recognize food types using datarobot ai
Develop an ai model to detect and classify chest disease using x-ray chest data using google teachable machines
Evaluate trained ai models using various kpis such as confusion matrix, classification accuracy, and error rate
List the various advantages of transfer learning and know when to properly apply the technique to speed up training process
Understand the theory and intuition behind residual networks, a state-of-the-art deep neural networks that are widely adopted in business, and healthcare
Learn how to train multiple ai models based on xg-boost, artificial neural networks, random forest classifiers and compare their performance in datarobot
Understand the impact of classifier threshold on false positive rate (fallout) and true positive rate (sensitivity)
Learn how to use sagemaker studio automl tool to build, train and deploy ai/ml models which requires almost zero coding experience
Differentiate between various regression models kpis such as r2 or coefficient of determination, mean absolute error, mean squared error, and root mean squared error
Build, train and deploy xgboost-based algorithm to perform regression tasks using aws sagemaker autopilot
Show more
Show less

Syllabus

Course Introduction, Key Learning Outcomes, and Key Tips for Success

Course Introduction and Welcome Message

Course Introduction Key Tips for Success, Best Practices and Getting Certified

What is Artificial Intelligence (AI)?

AI Recipe and Key Ingredients!

Supervised vs. Unsupervised AI Training

Course Outline and Key Learning Outcomes

AI In Healthcare: Disease Detection With AI-Powered Google Teachable Machine

Case Study 1. Chest Disease Detection Using Google Teachable Machine

The Rise of AI in HealthCare

Reading Material: The Rise of AI in Healthcare Applications

Please read the article entitled: "The Rise of Artificial Intelligence in Healthcare Applications" and answer the following questions.

Link to article: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7325854/

Project Overview

AI Model Training & Testing in Google Teachable Machines

Under the Hood - Artificial Neural Networks Simplified

Under the Hood - Artificial Neural Networks Training & Testing Processes

Under the Hood - AI Lingo Demystified

Under the Hood - Confusion Matrix

ANN Demo in Tensorflow Playground

Export, Save and Deploy the AI Model

Convolutional Neural Networks (CNNs) Deep Dive

Covid-Net Overview

COVID-NET

Final Project Overview

Final Project Solution

Emotion AI with AI-powered Google Teachable Machines

Case Study 2. Emotion AI with Google Teachable Machine

Introduction to Emotion AI and Project Overview

Reading Material: Emotion AI For Ad Testing and Media Analytics

Quiz: Emotion AI For Ad Testing and Media Analytics

Teachable Machine Demo #1 - Data Collection

Teachable Machine Demo #2 - Model Training

Teachable Machine Demo #3 - Model Deployment and Testing

Classification Models KPIs - Part #1

Classification Models KPIs - Part #2

Transfer Learning

Off the shelf Networks, ResNets, and ImageNet

AI for Cardiovascular Disease Detection with DataRobot

Case Study 3. Cardiovascular Disease Detection with DataRobot

Project Overview: Cardiovascular Disease Detection with DataRobot AI

Reading Materials: AI for Cardiovascular Disease Detection

Quiz: AI for Cardiovascular Disease Detection

DataRobot Demo #1: Signup and data upload

DataRobot Demo #2: Target Selection & Exploratory Data Analysis

DataRobot Demo #3: Model Training and Feature Importance

Precision, Recall, ROC and AUC

DataRobot Demo #4: Model Evaluation and Assessment

DataRobot Demo #5: Model Deployment and Inference

Introduction to XG-Boost [Optional Lecture/Additional Material]

What is Boosting? [Optional Lecture/Additional Material]

Decision Trees and Ensemble Learning [Optional Lecture/Additional Material]

Gradient Boosting Deep Dive #1 [Optional Lecture/Additional Material]

Gradient Boosting Deep Dive #2 [Optional Lecture/Additional Material]

AI in Business With AWS Autopilot

Case Study 4. AI in Business

Introduction to AI in business with AWS

Reading Material: AI Applications in Business

Quiz: AI Applications in Business

Project Overview: Insurance Premium Prediction

Simple and Multiple Linear Regression

Amazon Web Services (AWS) 101

Amazon S3 and EC2

Introduction to AWS SageMaker

Regression Metrics

AWS SageMaker AutoPilot Demo #1

AWS SageMaker AutoPilot Demo #2

AWS SageMaker AutoPilot Demo #3

AI for Food Recognition & Explainable AI with DataRobot

Case Study 5. Food Recognition with AI & Explainable AI

Project Introduction: Food Recognition with AI

Reading Material: Machine Learning and AI in the Food Industry

Quiz: Machine Learning and AI in the Food Industry

DataRobot Demo #1 - Upload & Explore Dataset

DataRobot Demo #2 - Train AI Model

DataRobot Demo #3 - Explainable AI

Logistic Regression Theory [Optional Lecture/Additional Material]

Bias Variance Tradeoff [Optional Lecture/Additional Material]

L1 & L2 Regularization Part #1 [Optional Lecture/Additional Material]

L1 & L2 Regularization Part #2 [Optional Lecture/Additional Material]

Congratulations!! Don't forget your Prize :)

Bonus: How To UNLOCK Top Salaries (Live Training)

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Incorporates real-world datasets, providing practical, hands-on experience

Assumes no coding background or computer science degree, making it accessible to a wider audience

Covers a comprehensive range of AI applications, including healthcare, business, and technology

Utilizes reputable platforms and services such as Google Teachable Machines, AWS, and DataRobot, which are widely used in industry

Provides opportunities to explore advanced AI techniques such as convolutional neural networks, XG-Boost, and regression models

Offers flexible learning with self-paced modules and online access

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 Modern Artificial Intelligence with Zero Coding with these activities:

Brush up on Python Basics

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This course uses Python extensively. Refreshing your knowledge will enhance understanding.

Browse courses on Python

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Review Python data types, variables, and operators
Practice writing simple Python functions
Review Python control flow statements

Read 'Artificial Intelligence: A Modern Approach'

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This comprehensive textbook provides a deep dive into the fundamentals of AI, including machine learning, natural language processing, and computer vision.

View Melania on Amazon

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Read and understand individual chapters of the book
Complete the practice exercises and assignments provided in the book
Summarize and present key concepts to peers or mentors for discussion

Join a study group

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Working with peers can improve understanding and retention.

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Find like-minded classmates to form a study group
Meet regularly to discuss course material and work on projects together
Share notes and resources, and quiz each other on key concepts

Four other activities

Expand to see all activities and additional details

Show all seven activities

Explore AI resources on Coursera

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Coursera offers a wealth of AI-related tutorials and courses that can supplement your learning in this class.

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Browse Coursera's AI course offerings
Select a tutorial or course that aligns with your interests and learning goals
Complete the tutorial or course at your own pace, referring back to this course material as needed

Volunteer at a local AI organization

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Volunteering can provide valuable hands-on experience and connect you with experts in the field.

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Research and identify local AI organizations that offer volunteer opportunities
Contact the organization to inquire about volunteer positions
Contribute your time and skills to support the organization's mission and projects

Develop an AI-powered app prototype

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Building a prototype will reinforce your understanding of AI concepts and their practical applications.

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Identify a problem or opportunity where AI can provide a solution
Design the app's user interface and functionality
Develop the app's backend using AI algorithms and techniques
Test the app and iterate on its design and functionality based on feedback

Become a mentor to aspiring AI learners

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Mentoring others can solidify your understanding of AI concepts and enhance your communication skills.

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Join online communities or platforms dedicated to AI learning and mentorship
Offer your help and guidance to individuals who are new to AI or seeking assistance with specific topics
Share your knowledge and experience, and provide constructive feedback to help others progress in their AI journey

Career center

Learners who complete Modern Artificial Intelligence with Zero Coding will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists are responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course can help you build the skills you need to become a successful Data Scientist, including data analysis, machine learning, and artificial intelligence. You will learn how to use a variety of tools and technologies to extract insights from data and communicate your findings to stakeholders.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models to solve business problems. This course can help you build the skills you need to become a successful Machine Learning Engineer, including machine learning fundamentals, model building, and deployment. You will learn how to use a variety of machine learning algorithms and tools to build models that can make accurate predictions and solve real-world problems

See salaries and explore the career path for Machine Learning Engineer

AI Engineer

AI Engineers design, develop, and deploy artificial intelligence systems. This course can help you build the skills you need to become a successful AI Engineer, including artificial intelligence fundamentals, machine learning, and deep learning. You will learn how to use a variety of AI technologies and tools to build systems that can learn from data, make decisions, and solve complex problems.

See salaries and explore the career path for AI Engineer

Data Analyst

Data Analysts collect, clean, and analyze data to help businesses understand their customers, products, and operations. This course can help you build the skills you need to become a successful Data Analyst, including data analysis, data visualization, and data mining. You will learn how to use a variety of data analysis tools and techniques to extract insights from data and communicate your findings to stakeholders.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts help businesses improve their performance by identifying and solving business problems. This course can help you build the skills you need to become a successful Business Analyst, including business analysis, process improvement, and data analysis. You will learn how to use a variety of business analysis tools and techniques to identify and solve business problems and improve business performance.

See salaries and explore the career path for Business Analyst

Software Developer

Software Developers design, develop, and maintain software applications. This course can help you build the skills you need to become a successful Software Developer, including software development fundamentals, programming languages, and software engineering. You will learn how to use a variety of software development tools and technologies to build software applications that meet the needs of users.

See salaries and explore the career path for Software Developer

IT Consultant

IT Consultants help businesses improve their use of technology. This course can help you build the skills you need to become a successful IT Consultant, including IT consulting fundamentals, business analysis, and project management. You will learn how to use a variety of IT consulting tools and techniques to help businesses improve their use of technology and achieve their business goals.

See salaries and explore the career path for IT Consultant

Product Manager

Product Managers lead the development and launch of new products and features. This course can help you build the skills you need to become a successful Product Manager, including product management fundamentals, market research, and product development. You will learn how to use a variety of product management tools and techniques to develop and launch new products and features that meet the needs of customers.

See salaries and explore the career path for Product Manager

Project Manager

Project Managers plan, execute, and close projects. This course can help you build the skills you need to become a successful Project Manager, including project management fundamentals, project planning, and project execution. You will learn how to use a variety of project management tools and techniques to plan, execute, and close projects successfully.

See salaries and explore the career path for Project Manager

Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure. This course can help you build the skills you need to become a successful Data Engineer, including data engineering fundamentals, data warehousing, and data processing. You will learn how to use a variety of data engineering tools and technologies to design, build, and maintain data pipelines and infrastructure that meet the needs of businesses.

See salaries and explore the career path for Data Engineer

UX Designer

UX Designers design user interfaces for websites and apps. This course can help you build the skills you need to become a successful UX Designer, including UX design fundamentals, user research, and prototyping. You will learn how to use a variety of UX design tools and techniques to design user interfaces that are easy to use and visually appealing.

See salaries and explore the career path for UX Designer

Technical Writer

Technical Writers create documentation for software and hardware products. This course can help you build the skills you need to become a successful Technical Writer, including technical writing fundamentals, documentation planning, and writing. You will learn how to use a variety of technical writing tools and techniques to create documentation that is clear, concise, and easy to understand.

See salaries and explore the career path for Technical Writer

Quality Assurance Analyst

Quality Assurance Analysts test software and hardware products to ensure that they meet quality standards. This course can help you build the skills you need to become a successful Quality Assurance Analyst, including quality assurance fundamentals, testing techniques, and test automation. You will learn how to use a variety of quality assurance tools and techniques to test software and hardware products and ensure that they meet quality standards.

See salaries and explore the career path for Quality Assurance Analyst

Database Administrator

Database Administrators design, build, and maintain databases. This course can help you build the skills you need to become a successful Database Administrator, including database fundamentals, database design, and database administration. You will learn how to use a variety of database tools and technologies to design, build, and maintain databases that meet the needs of businesses.

See salaries and explore the career path for Database Administrator

Systems Administrator

Systems Administrators manage and maintain computer systems and networks. This course can help you build the skills you need to become a successful Systems Administrator, including systems administration fundamentals, network administration, and security. You will learn how to use a variety of systems administration tools and techniques to manage and maintain computer systems and networks that meet the needs of businesses.

See salaries and explore the career path for Systems Administrator