HTML and CSS ITS PEARSON CERTIFICATION

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Candidates for this exam should be able to analyze and write syntactically correct HTML and CSS, structure data using HTML elements, and create and apply styles using CSS. Candidates are expected to have at least 150 hours of instruction or hands-on experience with HTML and CSS, be familiar with their features and capabilities, and understand how to write, debug, and maintain well-formed HTML and CSS code.

DATA ANALYTICS ITS CERTIFICATION

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Candidates for this exam are seeking to prove introductory knowledge of how to responsibly manipulate, analyze, and communicate findings of data analysis. Candidates should have at least 150 hours of instruction or hands-on experience with data manipulation, analysis, visualization, and communication. They should be familiar with general data concepts, data-related laws, and responsible analytics practices.

CYBERSECURITY ITS PERSON CERTIFICATION

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Candidates for this exam are preparing for a job as an entry-level cybersecurity technician or junior analyst. This exam assesses their understanding of key security principles, frameworks, and mindset. Successful candidates will have a keen awareness of how vulnerabilities open a company to security incidents, and how adhering to security principles and implementing benchmarks can help to mitigate the risk of attack. They are developing the investigation and interpretation skills necessary to succeed in the field and have an aptitude and desire to learn more. They are familiar with the toolset used to monitor an endpoint device and network for indications of an incident and can analyze logs to determine whether an escalation should occur. Candidates should have at least 150 hours of instruction or hands-on experience with cybersecurity.

NETWORKING ITS PEARSON CERTIFICATION

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Candidates for this exam are familiar with general networking concepts and technologies and understand how to manage and troubleshoot a network in a small-medium business environment. Candidates should have some hands-on experience with Windows and Linux operating systems, TCP/IP, name resolution processes, networking services, and network topologies and troubleshooting in wired and wireless environments. Candidates should have at least 150 hours of instruction or hands-on experience with networking

DATABASES ITS PEARSON CERTIFICATION

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Candidates for this exam are seeking to prove introductory knowledge of how to design, create, and query relational databases, such as MySQL, Microsoft SQL Server, or Oracle. Candidates should have at least 150 hours of instruction or hands-on experience with database design and object management, data retrieval and manipulation, and related troubleshooting. Candidates should be able to write ANSI SQL statements and troubleshoot syntax errors and runtime errors. The syntax in the exam is provided in ANSI SQL

JAVASCIPT ITS PEARSON CERTIFICATION

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Candidates for this exam should be able to recognize and write syntactically correct JavaScript code that will logically solve a given problem and use data types supported by JavaScript. Candidates are expected to have at least 150 hours of instruction or hands-on experience with the JavaScript programming language. Candidates should be familiar with JavaScript features and capabilities, and understand how to write, debug, and maintain well-formed, well-documented JavaScript code

PYTHON ITS PEARSON CERTIFICATION

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Candidates for this exam should be able to recognize and write syntactically correct well documented Python 3 code that will logically solve a given problem, correctly use data types supported by Python, and use common libraries to write a program that solves a complex problem. Candidates are expected to have had at least 150 hours of instruction and/or hands-on experience with the Python programming language, be familiar with its features and capa bilities, and understand how to write, debug, and maintain well-formed, well-documented Python code

ARTIFICIAL INTELLIGENCE BASIC COURSE

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An artificial intelligence (AI) course description varies from general introductions to deep technical dives, but typically covers core principles like machine learning, neural networks, and data analysis, often with a focus on programming languages like Python.

AI ITS PEARSON CERTIFICATION

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Candidates for this certification have a foundational knowledge the procedures used to develop an artificial intelligence (AI) solution, as well as an understanding of the issues surrounding the governance, transparency, security, and ethics of AI. Successful candidates will be able to analyze and classify a problem. They should be able to demonstrate knowledge of data collection, data processing, and feature engineering strategies. Candidates should be able to choose an appropriate algorithm for training a model, and understand the metrics used to evaluate model performance. They should understand the AI development lifecycle and how a production pipeline is used to allow for continuous improvement. Candidates at least 150 hours of instruction and/or exploration of artificial intelligence methodology and solutions