CertNexus Courses

Build Decision Trees, SVMs, and Artificial Neural Networks

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThere are numerous types of machine learning algorithms, each of which has certain characteristics that might make it more or less suitable for solving a particular problem. Decision trees and support-vector machines (SVMs) are two examples of algorithms that can both solve regression and classification problems, but which have different applications. Likewise, a more advanced approach to machine learning, called deep learning, uses artificial neural networks (ANNs) to solve these types of problems and more. Adding all of these algorithms to your skillset is crucial for selecting the best tool for the job.This fourth and final course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate continues on from the previous course by introducing more, and in some cases, more advanced algorithms used in both machine learning and deep learning. As before, you'll build multiple models that can solve business problems, and you'll do so within a workflow.Ultimately, this course concludes the technical exploration of the various machine learning algorithms and how they can be used to build problem-solving models.

Build Regression, Classification, and Clustering Models

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn most cases, the ultimate goal of a machine learning project is to produce a model. Models make decisions, predictions—anything that can help the business understand itself, its customers, and its environment better than a human could. Models are constructed using algorithms, and in the world of machine learning, there are many different algorithms to choose from. You need to know how to select the best algorithm for a given job, and how to use that algorithm to produce a working model that provides value to the business.This third course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate introduces you to some of the major machine learning algorithms that are used to solve the two most common supervised problems: regression and classification, and one of the most common unsupervised problems: clustering. You'll build multiple models to address each of these problems using the machine learning workflow you learned about in the previous course.Ultimately, this course begins a technical exploration of the various machine learning algorithms and how they can be used to build problem-solving models.

Preparing for Your CertNexus Certification Exam

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeWhat is a certification? How is it different than a certificate or credential? This mini-course will answer these questions and provide learners direction on how to prepare for a certification exam from CertNexus or an other certification vendor. It includes tips and tricks to succeed in your journey towards certification, as well as step by step instructions how to schedule and take your exam, whether in person or online. In addition we will provide next steps after your certification, including posting your badge to social posts and your organization. Candidates with industry recognized certifications can earn up to 25% more than candidates without a certification. Learn how to successfully prepare for, pass, and share your certification.

Solve Business Problems with AI and Machine Learning

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeArtificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services.This is the first of four courses in the Certified Artificial Intelligence Practitioner (CAIP) professional certification. This course is meant as an entry point into the world of AI/ML. You'll learn about the business problems that AI/ML can solve, as well as the specific AI/ML technologies that can solve them. In addition, you'll get an overview of the general workflow involved in machine learning, as well as the tools and other resources that support it. This course also promotes the importance of ethics in AI/ML, and provides you with techniques for addressing ethical challenges.Ultimately, this course will get you thinking about the "why?" of AI/ML, and it will ensure that your more technical work in later courses is done with clear business goals in mind.

Turn Ethical Frameworks into Actionable Steps

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeEthical principles build a strong foundation for driving ethical technologies. Principles alone can be elusive and impractical for application. Ethical frameworks based upon these principles provide a structure to guide technologists when implementing data-driven solutions. However, ethical frameworks, along with standards and regulations, can make compliance tasks more complex, and they can also raise the tension between ethical duties and business practicalities. An approach is needed to reconcile these issues. This second course within the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to analyze ethical frameworks, regulations, standards, and best practices and integrate them into data-driven solutions.Students will become familiar with frameworks and the common ethical principles they are based upon and how they can be applied across a variety of ethically driven dilemmas. You will learn applicable regulations and best practices established across global organizations and governments and how to navigate the integration of these standards in the context of business needs.This course is the second of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate. The preceding course is titled Promote the Ethical Use of Data-Driven Technologies.

Analyze Data

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course is designed for business professionals that want to learn how to analyze data to gain insight, use statistical analysis methods to explore the underlying distribution of data, use visualizations such as histograms, scatter plots, and maps to analyze data and preprocess data to produce a dataset ready for training.The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming.

Create and Lead an Ethical Data-Driven Organization

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeCreating and leading an ethical data-driven organization, when done successfully, is a cultural transformation for an organization. Navigating a cultural shift requires leadership buy in, resourcing, training, and support through creation of boards, policies, and governance. Beyond leadership and organization, it is imperative to engage employees through forumsand incentive programs for continual involvement. A strong understanding of ethical organizational policies provides the foundation for consistent monitoring to maintain an ethical culture. In this fifth course of the CertNexus Certified Ethical Emerging Technologist (CEET) professional certificate, learners will develop strategies to lead an applied ethics initiative, champion its crucial importance, and promote an ethical organizational culture. Learners will learn how to develop and implement ethical organizational policies and a code of ethics. They will also be prepared to evaluate the effectiveness of policies with internal and external stakeholders.This course is the fifth of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate. The preceding courses are titled Promote the Ethical Use of Data-Driven Technologies, Turn Ethical Frameworks into Actionable Steps, Detect and Mitigate Ethical Risks, and Communicate Effectively about Ethical Challenges in Data-Driven Technologies.

Extract, Transform, and Load Data

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course is designed for business and data professional seeking to learn the first technical phase of the data science process known as Extract, Transform and Load or ETL.Learners will be taught how to collect data from multiple sources so it is available to be transformed and cleaned and then will dive into collected data sets to prepare and clean data so that it can later be loaded into its ultimate destination. In the conclusion of the course learners will load data into its ultimate destination so that it can be analyzed and modeled. The typical student in this course will have experience working with data and aptitude with computer programming.

Detect and Mitigate Ethical Risks

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeData-driven technologies like AI, when designed with ethics in mind, benefit both the business and society at large. But it’s not enough to say you will “be ethical” and expect it to happen. We need tools and techniques to help us assess gaps in our ethical behaviors and to identify and stop threats to our ethical goals. We also need to know where and how to improve our ethical processes across development lifecycles. What we need is a way to manage ethical risk. This third course in the Certified Ethical Emerging Technologist (CEET) professional certificate is designed for learners seeking to detect and mitigate ethical risks in the design, development, and deployment of data-driven technologies. Students will learn the fundamentals of ethical risk analysis, sources of risk, and how to manage different types of risk. Throughout the course, learners will learn strategies for identifying and mitigating risks.This course is the third of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate. The preceding courses are titled Promote the Ethical Use of Data-Driven Technologies and Turn Ethical Frameworks into Actionable Steps.

CertNexus Certified Ethical Emerging Technologist

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe Certified Ethical Emerging Technologist (CEET) industry validated certification helps professionals draw higher salaries (25% on average) and differentiate themselves from other job candidates.Organizations and governments are seeking out ethics professionals to minimize risk and guide their decision-making about the design of inclusive, responsible, and trusted technology. An algorithm not designed and assessed in alignment with ethical standards can create further inequity across race, gender and marginalized populations. The reputational and financial impact of an ethics violation can devastate a company. Knowledgeable ethics leaders are needed who can navigate through the more than 160 frameworks and guidelines to select and implement the best strategy to promote fairness and minimize risk for their organization. This specialization is designed for learners who want to create and lead initiatives that prioritize ethical integrity within emerging data-driven technology fields such as artificial intelligence and data science and will be prepared to bridge the gap between theory and practice.Your journey to CEET Certification1) Complete the Coursera Certified Ethical Emerging Technologist Professional Certificate2) Review the CEET CET-110 Exam Blueprint3) Purchase your CEET Exam Voucher4) Register for your CEET Exam

Certified Ethical Emerging Technologist

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe Certified Ethical Emerging Technologist (CEET) industry validated certification helps professionals draw higher salaries (25% on average) and differentiate themselves from other job candidates.Organizations and governments are seeking out ethics professionals to minimize risk and guide their decision-making about the design of inclusive, responsible, and trusted technology. An algorithm not designed and assessed in alignment with ethical standards can create further inequity across race, gender and marginalized populations. The reputational and financial impact of an ethics violation can devastate a company. Knowledgeable ethics leaders are needed who can navigate through the more than 160 frameworks and guidelines to select and implement the best strategy to promote fairness and minimize risk for their organization. This specialization is designed for learners who want to create and lead initiatives that prioritize ethical integrity within emerging data-driven technology fields such as artificial intelligence and data science and will be prepared to bridge the gap between theory and practice.Your journey to CEET Certification1) Complete the Coursera Certified Ethical Emerging Technologist Professional Certificate2) Complete the Coursera course Preparing for Your CertNexus Certification Exam3) Review the CEET CET-110 Exam Blueprint4) Purchase your CEET Exam Voucher5) Register for your CEET Exam

Follow a Machine Learning Workflow

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeMachine learning is not just a single task or even a small group of tasks; it is an entire process, one that practitioners must follow from beginning to end. It is this process—also called a workflow—that enables the organization to get the most useful results out of their machine learning technologies. No matter what form the final product or service takes, leveraging the workflow is key to the success of the business's AI solution. This second course within the Certified Artificial Intelligence Practitioner (CAIP) professional certificate explores each step along the machine learning workflow, from problem formulation all the way to model presentation and deployment. The overall workflow was introduced in the previous course, but now you'll take a deeper dive into each of the important tasks that make up the workflow, including two of the most hands-on tasks: data analysis and model training. You'll also learn about how machine learning tasks can be automated, ensuring that the workflow can recur as needed, like most important business processes.Ultimately, this course provides a practical framework upon which you'll build many more machine learning models in the remaining courses.

Promote the Ethical Use of Data-Driven Technologies

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe greatest risk in emerging technology is the perpetuation of bias in automated technologies dependent upon data sets. Solutions created with racial, gender or demographic bias, whether unintentional or not can perpetuate tragic inequities socially and economically.This is the first of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate and it is designed for learners seeking to advocate and promote the ethical use of data-driven technologies. Students will learn what emerging technologies are and how they can be used to create data driven solutions. You will learn types of bias and common ethical theories and how they can be applied to emerging technology, and examine legal and ethical privacy concepts as they relate to technologies such as artificial intelligence, machine learning and data science fields. Throughout the course learners begin to distinguish which types of bias may cause the greatest risk and which principles to apply to strategically respond to ethical considerations.

CertNexus Certified Artificial Intelligence Practitioner

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThe Certified Artificial Intelligence Practitioner™ (CAIP) industry validated certification helps professionals draw higher salaries (25% on average) and differentiate themselves from other job candidates.Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This specialization shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users.The specialization is designed for data science practitioners entering the field of artificial intelligence and will prepare learners for the CAIP certification exam.Your journey to CAIP Certification1) Complete the Coursera Certified Artificial Intelligence Practitioner Professional Certificate2) Review the CAIP AIP Exam Blueprint3) Purchase your CAIP Exam Voucher4) Register for your CAIP Exam

Communicate Effectively about Ethical Challenges in Data-Driven Technologies

0

Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeLeading a data-driven organization necessitates effective communication to create a culture of ethical practice. Communication to stakeholders will guide an organization's strategy and potentially impact the future of work for that organization or entity. It is not enough to talk about ethical practices, you need to to relate their value to stakeholders. Building out strategies that are inclusive and relatable can build public trust and loyalty, and knowing how to plan for a crisis will reduce the harm to such trust and loyalty. In this fourth course of the CertNexus Certified Ethical Emerging Technologist (CEET) professional certificate, learners will develop inclusive strategies to communicate business impacts to stakeholders, design communication strategies that mirror ethical principles and policies, and in case of an ethical crisis, be prepared to manage the crisis and the media to reduce business impact.This course is the fourth of five courses within the Certified Ethical Emerging Technologist (CEET) professional certificate. The preceding courses are titled Promote the Ethical Use of Data-Driven Technologies, Turn Ethical Frameworks into Actionable Steps, and Detect and Mitigate Ethical Risks.