Top 9 Artificial Intelligence Courses from Udacity

Are Artificial Intelligence online courses highly in demand on Udacity? I never thought that there would be such a thing!

They have been around for so long, and they are still going strong. Udacity has helped many people learn new skills to help their careers. It's amazing how much they've grown over the past years!

Udacity is an online learning platform that offers courses on various topics from programming to business administration. These courses can be taken by anyone with access to a computer or mobile device and the internet. This makes it easy for people who don't have time or money for traditional college education.

There are also some classes offered in person at colleges throughout the country. In fact, most of them happen online through videoconferencing software like Google Hangouts.

1. Become a Machine Learning Engineer for Microsoft Azure

• Course Content: 3 months| At 5-10 hrs/week
• Type of certification: Upon Course completion
• Pricing: $791
• Student Ratings: 88/100 reviewer rating

Machine learning engineering in IT focuses on research, building, and designing self-run artificial intelligence systems to automate predictive models.

You can strengthen your machine learning ability and build practical experience by training, validating, and evaluating Azure Machine Learning models.

Previous experience in Python, Machine learning, and Statistics is necessary for learning this particular course. This tutorial includes three nanodegree programs.

1. Using Azure Machine Learning - You can learn how to configure machine learning pipelines in Azure, and identify and use the Azure Machine Learning SDK to design, create, and manage machine learning pipelines in Azure.
2. Machine Learning Operations - This course includes many of the critical points of machine learning operations for deploying models, enabling Application Insights, Identifying problems, and implementing Azure Pipelines.
3. Capstone Project - Capstone allows you to solve interesting problems. You can use Azure Automated ML and HyperDrive to solve issues. Finally, you can locate the model as a web service and test the model endpoint.

Prerequisites:

1. An understanding of the essentials of Azure and Docker/Container experience.
2. Some experience with fundamental statistics and algebra, including understanding data distributions like the standard distribution knowledge, is necessary.

2. AI for Healthcare

• Provider: Udacity
• Course Content: 4 months|At 15 hours/week
• Type of certification: Upon Course completion
• Pricing: $1055
• Student Ratings: 4.6 (150 ratings)

According to the healthcare industry, artificial intelligence is changing the way clinical providers make decisions.

It plays a significant role in clinical decision support, and it delivers data to providers for diagnosing treatment planning and population health management.

With the present worldwide COVID-19 pandemic, you can understand the possibilities of artificial intelligence within the healthcare industry.

It can help to manage and analyze data and conduct conversations and profound changes in everyday practices.

Therefore, reading, understanding, and writing code in Python, including language constructs such as functions and classes, are the prerequisites to study this course.

With the support of Artificial Intelligence, supporters can deploy more accurate, well-organized, and powerful inventions at the right moment in patient care. You can also use it for health monitoring, robotics, training, research, and significantly more.

Features:

1. Perform simple machine learning functions, such as classification and regression, from a set of features.
2. Apply basic knowledge of Python data and machine learning frameworks (Pandas, NumPy, TensorFlow, PyTorch) to manipulate and clean data by different estimators/algorithms.

3. Become a Machine Learning Engineer

• Provider: Udacity
• Course Content: 3 months|At 10hrs/week
• Type of certification: Upon Course completion
• Pricing: $791 for three months
• Student Ratings: 4.5 (850 ratings)

To attain practical experience using Amazon SageMaker to distribute trained models to a web application and evaluate the presentation of models.

This course includes Software Engineering Fundamentals, Machine Learning in Production, and Deploy a Sentiment Analysis Model and Machine Learning Capstone.

In addition, knowledge of Intermediate Python and Machine Learning Algorithms is the requirement of this course.

Build and demonstrate a deep learning model that sees the sentiment of a user-provided movie review using Amazon SageMaker. Also, create a simple web app that uses your deployed model and accepts user input.

Use your advanced machine learning skills to define similarity metrics between two text documents and identify cases of plagiarism.

You will perform feature engineering and train and deploy a custom, plagiarism-classification model using Amazon SageMaker. Machine learning Capstone for identifying the problem and defining the possible solution.

Features:

1. This project will give a demonstration of end-to-end machine learning skills that will be an essential piece of your job-ready portfolio.
2. You will perform feature engineering and train and deploy a custom, plagiarism-classification model.

4. Deep Learning

• Provider: Udacity
• Course Content: 4 months|At 12hrs/week
• Type of certification: Upon Course completion
• Pricing: $1054 for 4 months
• Student Ratings: 4.7 (2050 ratings)

Deep learning is driving advanced up to date in artificial intelligence that is changing our world. You can apply your deep neural networks to image classification and generation, time-series prediction, and model deployment.

In addition, by creating robotics and applying automation, you can master computer vision skills.

For example, you can write programs to analyze images, implement feature extraction, and recognize objects using deep learning models and become a computer vision expert.

Become a natural language Processing Expert who gets computers to understand, process, and manipulate language.

Build models on actual data, and get hands-on experience with sentiment analysis, machine translation, and more.

Convolutional Neural Networks, Recurrent Neural Networks, and Generative Adversarial Networks Deploying a Sentiment Analysis Model are some models of Artificial Intelligence.

Features:

1. Build your recurrent networks and extended short-term memory networks with PyTorch.
2. Train and deploy your own PyTorch sentiment analysis model.

5. Intro to Machine Learning with PyTorch

• Provider: Udacity
• Course Content: 3 months| 10 hrs|week
• Type of certification: Upon Course completion
• Pricing: $791 for three months
• Student Ratings: 4.7 (400 ratings)

PyTorch is the dominant deep learning framework, being at the same time both powerful and easy to use. You can learn fundamental machine learning algorithms, starting with data cleaning and supervised models.

This tutorial explores the topics of deep and unsupervised learning. The knowledge of Python programming and probability, and statistics knowledge is necessary to learn this course.

This course is deliberate for students with experience in Python who have not yet studied Machine Learning topics.

Deep learning is by acquiring experience by development tools such as Anaconda and Jupyter Notebooks.

Supervised learning is a typical class of build models. Unsupervised learning is a method for different kinds of problem domains.

Features:

1. You will write production-level code and object-oriented programming and integrate them into machine-learning models.
2. You will be able to delve deeper into neural networks.

6. Artificial Intelligence for Trading

• Provider: Udacity
• Course Content: 6 months| 10 hrs|week
• Type of certification: Upon Course completion
• Pricing: $1582 for six months
• Student Ratings: 4.6 (750 ratings)

Industry experts designed complete real-world projects with AI. This course covers asset management to trading signal generation and plays a vital role in the Quantitative Trading area.

You can learn the essentials of trading signal generation, quantitative analysis, data processing, etc. By using Python to work with historical stock data, develop trading strategies, and construct a multi-factor model with optimization.

Artificial Intelligence is a superior technology that helps to analyze numerous data points within seconds.

This way, it can identify those trading patterns rapidly, which are historical and replicating for intelligent trading. Whereas humans can not identify and build patterns with such speed.

Features:

1. Retail traders can access the technology through stock trading software products that utilize the power of artificial intelligence.
2. TrendSpider is a widely popular AI trading app among technical analysts and day traders.

7. Machine Learning DevOps Engineer

• Provider: Udacity, Course Content: 4 months| At 10 hours |week
• Type of certification: Upon Course completion
• Pricing: $1055 for four months
• Student Ratings: 4.5 (300 ratings)

Deployment, automation, and management are the primary responsibilities of a Machine Learning DevOps Engineer.

Also, designing, maintaining, and managing tools for the automation of different operational processes. This tutorial contributes a balanced view across the three areas: people, process, and technology.

The smooth running and integration of machine learning models and installing them in a production-level environment.

This program will provide the DevOps skills required to automate the various aspects and stages of machine learning model building and monitoring. Clean code Principles are essential for deploying production machine learning models.

Finally, you will learn best practices for testing and logging in production settings to ensure your models give the best results.

Features:

1. Coding best practices on autopilot by learning how to use PyLint and AutoPEP8.
2. Expand your git and GitHub skills to work with teams.

8. Become a Deep Reinforcement Learning Expert

• Provider: Udacity
• Course Content: 4 months| At 10-15 hours|week
• Type of certification: Upon Course completion
• Pricing: $1055 for four months
• Student Ratings: 4.7(450 ratings)

Deep reinforcement learning is a category of learning AI where intelligent machines work the same way humans learn from experience.

Deep Reinforcement is an advanced level of learning in artificial intelligence so that you can apply these applications to exciting areas of video games and robotics.

You can write algorithms and applications of different solving techniques like Value-Based and policy-based methods.

Educating or instructing your agents to navigate a virtual world from sensory data is called Value-based. Evolutionary algorithms to create robotic arms to target locations.

Features:

1. Deep Q-Networks (DQN) to Deep Deterministic Policy Gradients and build a robust deep reinforcement learning projects portfolio.
2. Multi-agent reinforcement learning methods are used in the coordination of autonomous vehicles.

9. Data Structures and Algorithms

• Provider: Udacity
• Course Content: 4 months| At 10 hours |week
• Type of certification: Upon Course completion
• Pricing: $1055 for four months
• Student Ratings: 4.7(750 ratings)

To perform specific operations efficiently by organizing and managing data effectively.

An array is the simplest and most commonly used data structure, such as stacks, queues, graphs, hash tables, etc.

Each has various names in different programming languages. However, the whole concept is the same. Udacity provides a way to learn data structures and algorithms by solving practice problems.

Algorithms are a step-by-step procedure to get the desired output. Every step in an algorithm uses different data structures to solve a problem.

Algorithms should be distinct and clear, with zero or more input values, to reach one or more outputs that match the desired.

Features:

1. Learn how to approach open-ended problems and select appropriate data structures based on requirements.
2. Brute-force, greedy algorithms, and graph algorithms are used to optimize recursion by storing results of sub-problems.

FAQs

Here are the frequently asked questions about AI.

1. How will artificial intelligence change the future?

AI will replace human workers who assume that AI and humans have the same qualities and abilities. AI-based machines are fast, more accurate, and consistently rational.

2. Is AI a good career?

Artificial intelligence is emerging and influencing the future of virtually every industry and every human being. For example, AI will increase global GDP by 12% by the end of 2030.

3. What are the five components of AI?

Artificial Intelligence has five components: learning, Reasoning, Problem-solving, Perception, and language understanding.

4. Is AI the future?

The combination of AI and human intelligence will lead to the development of sophisticated cybersecurity innovations in the future. In addition, AI will enable the Transportation and manufacturing sectors.

Conclusion

Artificial intelligence is changing the way we work, live, and learn.

Artificial Intelligence online courses will be very helpful to increase your opportunities for your career too.

If you would like to get ahead of this trend by learning about AI online for free or at a discounted rate, it is available here.

Udacity has an incredible selection of courses that are perfect for anyone who wants to get their foot in the door.

There are classes on machine learning engineering skills, a deep learning course with PyTorch, intro to ML with Python libraries such as TensorFlow and Keras; Expand your knowledge of AI topics including computer vision and natural language processing, or explore health care applications in artificial intelligence.

You can even take these courses while working full-time! No matter what you're looking for when it comes to artificial intelligence education.

These Artificial intelligence online courses will definitely help you to improve your knowledge related to AI and ML.