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How Machine Learning Works
Machine learning is amazing… and intimidating. How can computers do magical things like understand images or text? This training for programmers will dispel the magic and help you to build your own computer vision program, starting from scratch.
MLOps (Machine Learning Operations) Fundamentals
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.
Building Machine Learning Models on Databricks
This course will teach you how you can build and train your traditional machine learning models using the Databricks Machine Learning runtime and MLflow to manage the end-to-end machine learning lifecycle.
Building Deep Learning Models on Databricks
In this course, you will learn to train neural network models using TensorFlow and PyTorch, perform distributed training using the Horovod framework, and perform hyperparameter tuning using Hyperopt.
Managing Models Using MLflow on Databricks
This course will teach you how to manage the end-to-end lifecycle of your machine learning models using the MLflow managed service on Databricks.
Managing Machine Learning Projects with Google Cloud
Business professionals in non-technical roles have a unique opportunity to lead/influence machine learning projects. If you have questions about machine learning & want to understand how to use it, this course is for you.
Automate Machine Learning Using Databricks AutoML
This course will teach you how you can build and train regression, classification, and forecasting models using Databricks AutoML. AutoML automates data preparation and model training thus allowing you to build models with little to no code.
TensorFlow Developer Certificate – TensorFlow Developer Skills
In this course, TensorFlow Developer Certificate - TensorFlow Developer Skills , you will learn several items. First, you will learn how to compile and run Python programs in PyCharm. Next, you will discover how to find information about TensorFlow APIs. Then, how to solve error messages fro m the TensorFlow API. Finally, how to save ML models and check the model file size
Machine Learning Operations (MLOps): Getting Started
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.
Feature Engineering
This course explores the benefits of using Vertex AI Feature Store, how to improve the accuracy of ML models, and how to find which data columns make the most useful features. This course also includes content and labs on feature engineering using BigQuery ML, Keras, and TensorFlow.
Why You Fail to Make Good Predictions and What You Can Do About it
In this talk, you'll learn what gets in the way of making good decisions and predictions.
Datarobot MLOps – The Last Step from Data to Value
DataRobot MLOps delivers the capabilities Data Science and IT Ops teams need to work together to deploy, monitor, manage, and govern machine learning models in production.
Deployment Isn’t the Final Step: Monitoring Machine Learning Models in Production Environments
In this session, we will talk about the data science project cycle which holds five main stages - defining your project objectives, collecting and cleaning your data, training and testing a predictive model, deploying it and monitoring.
Doubling the Performance of AI for Fraud Detection with Graph
Using TigerGraph and some Python machine-learning, we show you how anyone can build a payment fraud system that halves the number of frauds and reduces the number of inappropriately blocked transactions.
Machine Learning & Apache Kafka: Bringing Intelligent Software to the Next Level
This talk compares a modern streaming architecture to traditional batch and big data alternatives and benefits.
Mind the Gap: Uniting Technical and Business Expertise to Deliver Profound Transformation with ML
In this session, Katie will explore the potential pitfalls of ML design and how to avoid them, and will showcase the importance of a human-centric approach to building an ethical and long-lasting AI strategy.
Put Your Machine Learning on Autopilot
In this session, you'll learn about Automated Machine Learning (AutoML) and how the latest advances in AutoML allow you to put your machine learning models into autopilot mode while maintaining full visibility and control.
OpenAI Prompt Engineering for Improved Performance
This course teaches you how to use proven prompt engineering techniques to obtain better results from ChatGPT to maximize application performance.
Security Hot Takes: ChatGPT
Generative Artificial Intelligence (AI) has been expanding at a rapid rate with the introduction of ChatGPT among others. In this talk, Aaron Rosenmund and Michael Teske discuss their early experiences using ChatGPT and how it could affect the security landscape.
Reinforcement Learning from Human Feedback (RLHF)
In this course we explore one corner of the expanding AI universe, and review some of the basic principles found in reinforcement learning from human feedback (RLHF), the technology underlying great AI tools such as ChatGPT, Bard, and more.
OpenAI: Prompt Engineering Best Practices
OpenAI’s models are mind-blowingly impressive, even with the simplest of prompts. But they’ve even more impressive with better input. This course will teach you how to create more effective prompts by implementing OpenAI’s best practices.
TensorFlow Developer Certificate – Time Series, Sequences, and Predictions
TensorFlow is a powerful open-source library for machine learning and numerical computation to develop and train deep learning models. This course will teach you how to analyze time series data and accurately forecast future events.
TensorFlow Developer Certificate – Image Classification
As part of the TensorFlow Developer certification, this course focuses on computer vision. By the end of the course, you will know everything to build computer vision neural networks that can handle complex real-world images using TensorFlow.
Monitor and Evaluate Model Performance During Training
Enhance your machine-learning models! This course will teach you the tools and techniques to effectively monitor and evaluate model performance during training.
Key Features of Pluralsight
- Skill Assessments Pluralsight's Skill IQ and Role IQ features allow learners to assess their current skills and determine which areas require improvement. These personalized assessments provide insights into where users stand compared to industry standards, guiding them toward the most suitable courses.
- Learning Paths The platform offers well-structured learning paths that guide learners through a series of courses designed to develop specific skills. Whether you're aiming for certification or mastering a new programming language, Pluralsight’s learning paths ensure that you systematically achieve your learning objectives.
- On-Demand Courses Pluralsight’s courses are available on demand, which gives learners the flexibility to study at their own pace. This allows working professionals to balance their learning with their job responsibilities.
- Enterprise Solutions In addition to individual learning, Pluralsight provides enterprise solutions that help organizations manage and track the learning progress of their teams. Companies can benefit from tailored learning paths, assessments, and analytics to ensure that their workforce stays competitive.
- Offline Viewing Learners can download courses and view them offline using Pluralsight's mobile app, making it convenient for users to continue learning even without an internet connection.
- Certification Preparation Pluralsight offers courses that prepare learners for a wide range of professional certifications in areas such as AWS, Microsoft, Google Cloud, and CompTIA. These courses help professionals gain the credentials they need to advance in their careers.
- Interactive Learning Pluralsight's hands-on learning experience allows users to practice what they learn in real-world scenarios. The platform offers interactive labs and projects where learners can apply their skills in simulated environments.
Pluralsight Pricing and Plans
Pluralsight offers a variety of pricing plans to accommodate both individual learners and enterprises.- Individual Plans: Starting with a free trial, individuals can subscribe to the monthly or annual plan. The annual subscription provides significant savings and access to the entire course library.
- Team Plans: For businesses, Pluralsight offers team and enterprise-level solutions with advanced analytics, reporting features, and role-based learning pathways. These plans ensure that teams can collaborate and learn efficiently while tracking their progress through in-depth analytics.
Why Choose Pluralsight?
- Expert-Led Content All courses on Pluralsight are created by industry experts who bring real-world experience and knowledge to the table. This ensures that learners get the most up-to-date and relevant information.
- Constantly Updated Courses Pluralsight continuously updates its course content to reflect the latest industry trends, ensuring that learners always have access to the most current skills and knowledge.
- Diverse Range of Topics From cybersecurity and IT operations to creative topics like video production and design, Pluralsight offers courses across a diverse range of subjects, making it a one-stop solution for tech professionals and creatives alike.
- Personalized Learning Pluralsight provides a personalized learning experience with its skill assessments and role-specific learning paths. This feature ensures that learners only focus on areas they need to improve, saving time and effort.
Popular Courses Offered by Pluralsight
Some of the most popular courses on Pluralsight include:- JavaScript: Getting Started Ideal for beginners, this course provides a comprehensive introduction to one of the most widely used programming languages in web development.
- AWS Certified Solutions Architect - Associate This course prepares learners for the AWS certification exam and equips them with the skills needed to design robust cloud architectures.
- Python Fundamentals Perfect for learners new to Python, this course covers the basics of programming in one of the most versatile programming languages.
- CISSP Certification Prep Aimed at cybersecurity professionals, this course prepares learners for the CISSP certification, covering critical areas of information security.