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Advanced

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.

GH₵0

Hours

Last updated Tue, 16-Sep-2025

HTML and CSS ITS PEARSON CERTIFICATION
0 Lessons Hours English
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.
Outcomes:
  • Understand the fundamental concepts of HTML and CSS: This includes distinguishing between their respective roles in structuring content and styling web pages.
  • Create and structure web pages using HTML: Learners will be proficient in using various HTML elements and attributes to organize content, including headings, paragraphs, lists, links, images, tables, and forms. They will also understand semantic HTML for improved accessibility and search engine optimization.
  • Style web pages effectively with CSS: This involves applying CSS rules and syntax to control the visual presentation of HTML elements. Learners will be able to manage colors, fonts, text properties, box model, layout (e.g., positioning, display properties), and create responsive designs for different devices.
  • Implement basic web design principles: This includes understanding how to create visually appealing and user-friendly interfaces, considering aspects like visual hierarchy, readability, and navigation.
  • Develop and deploy basic websites: Learners will gain the practical skills to build and publish simple websites, understanding the process of creating local files and potentially moving them to a remote server.
  • Demonstrate a commitment to continuous learning: Engaging with an HTML and CSS course signifies a dedication to acquiring and updating skills relevant to web development trends.
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Advanced

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.

Free

Hours

Last updated Mon, 15-Sep-2025

DATA ANALYTICS ITS CERTIFICATION
17 Lessons Hours English
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.
Outcomes:
  • Data Concepts: Understanding data types, data structures, and the data ecosystem.
  • Analytical Thinking: Developing the ability to think analytically and apply data to solve problems.
  • Data Analytics Process: Learning the steps involved in a data analytics project, from data gathering to communicating findings.
  • Data Sourcing: Identifying and collecting data from various structured and unstructured sources.
  • Data Cleaning & Transformation: Skills for cleaning raw data, handling anomalies, and transforming it into a usable format.
  • Programming Languages: Proficiency in tools like Python (with libraries such as pandas and NumPy) or R for data manipulation and analysis.
  • SQL (Structured Query Language): Learning to work with relational databases and write queries to manage and retrieve data.
  • Tools: Using software like Tableau, Power BI, or built-in Excel features to create insightful charts and dashboards.
  • Techniques: Choosing the right visualizations to effectively communicate data insights and tell a story.
  • Descriptive Statistics: Understanding how to summarize and interpret data using basic statistical methods.
  • Inferential Statistics: Learning about parameter estimation, hypothesis testing, and A/B testing.
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Advanced

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.

Free

Hours

Last updated Mon, 15-Sep-2025

CYBERSECURITY ITS PERSON CERTIFICATION
27 Lessons Hours English
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.
Outcomes:
  • Network Security: Implementing measures to protect networks from various cyber threats.
  • Ethical Hacking & Vulnerability Assessment: Learning techniques to identify system vulnerabilities before attackers do, often through penetration testing.
  • Data Protection & Cryptography: Understanding how to secure information through encryption and other data protection methods.
  • Threat Management & Risk Assessment: Developing skills to identify threats, analyze risks, and manage cybersecurity incidents.
  • Incident Response & Digital Forensics: Learning how to handle and investigate security incidents, and the process of digital forensics to analyze system logs and recover data.
  • Practical, Hands-On Learning: Many Pearson courses emphasize practical skills through simulations, labs, and real-world projects to bridge the gap between theory and practice.
  • Industry-Relevant Content: The curriculum is designed to align with current industry standards and technologies, ensuring graduates are well-prepared for the evolving digital landscape.
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Advanced

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

Free

Hours

Last updated Mon, 15-Sep-2025

NETWORKING ITS PEARSON CERTIFICATION
23 Lessons Hours English
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
Outcomes:
  • Network Fundamentals: Understand concepts like network topologies (wired vs. wireless), hardware components, transmission media, and protocols
  • OSI and TCP/IP Models: Analyze and differentiate the layers and functions of both conceptual models and the internet's protocol stack.
  • Network Protocols: Understand the roles of various protocols, such as IPv4 vs. IPv6, and compare different protocol architectures.
  • Network Device Functionality: Recognize and understand the roles of different internet and network devices.
  • Network Design: Design simple network applications and basic network configurations.
  • Network Security: Understand and apply concepts of confidentiality, integrity, and availability (CIA) and identify and mitigate network threats.
  • Troubleshooting: Utilize network monitoring tools to diagnose and resolve malfunctions.
  • Implementation: Implement network functionalities and applications on different network layers.
  • Security Implementation: Configure host and network-level security controls like firewalls, access controls, and intrusion detection systems.
  • Protocol Analysis: Differentiate between various network protocols and analyze their features.
  • System Understanding: Understand the architecture of networks and how different hardware and software components integrate to form a network solution.
  • Vulnerability Assessment: Analyze network architectures to identify vulnerabilities and propose suitable mitigation strategies.
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Advanced

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

Free

Hours

Last updated Mon, 15-Sep-2025

DATABASES ITS PEARSON CERTIFICATION
21 Lessons Hours English
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
Outcomes:
  • Database Fundamentals: Students should grasp core database concepts, terminology, and the advantages of the database approach.
  • Data Modeling: Learn to create Entity-Relationship diagrams to represent real-world scenarios and transform them into relational models.
  • Relational Model: Understand relational model concepts, including functional dependencies, and normal forms for data integrity.
  • SQL Proficiency: Develop the ability to write and execute complex SQL queries for data manipulation (CRUD operations) and retrieval.
  • Database Design & Implementation: Be able to design and implement database schemas, create tables, and define constraints (primary keys, foreign keys).
  • Indexing and Hashing: Identify and apply appropriate indexing and hashing mechanisms for efficient data storage and retrieval.
  • Transaction Management: Understand the principles of transaction processing, including concurrency control protocols and recovery mechanisms.
  • Database Systems: Students will be able to apply database concepts to build practical database applications.
  • Data Manipulation: Manipulate data effectively using SQL, including aggregating and joining data from multiple tables.
  • Data Integrity: Ensure data integrity and consistency by applying structural constraints and functional dependencies in the database design.
  • Database Architectures: Gain knowledge of different database architectures, such as centralized and client-server models.
  • Database Recovery: Learn about database recovery mechanisms for maintaining data consistency after failures.
  • Database Security: Understand basic principles of database security and access control.
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Advanced

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

Free

Hours

Last updated Sun, 14-Sep-2025

JAVASCIPT ITS PEARSON CERTIFICATION
2 Lessons Hours English
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
Outcomes:
  • Learn how JavaScript works and how it is used in web development.
  • Make web pages interactive by typing and running JavaScript code.
  • Use variables to store and change data.
  • Use data types and operators to do logic and calculations.
  • Organize and reuse code by functions.
  • Conditions, like
  • Use loops (like for and while) to do things over and over again.
  • Learn how to use Document Object Model (DOM) to change HTML elements.
  • Make interactive user experiences by handling events like button clicks and form submissions.
  • Debugging JavaScript code.
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Beginner

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

Free

Hours

Last updated Sun, 14-Sep-2025

PYTHON ITS PEARSON CERTIFICATION
17 Lessons Hours English
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
Outcomes:
  • Core Programming Skills: Basic Syntax and Concepts: Understand Python's syntax, variables, data types, and operators.
  • Control Structures: Write and implement conditional statements (if/else) and loops (for/while).
  • Functions and Modules: Define, use, and structure programs using functions and modules for code reusability.
  • Data Structures: Work with built-in data structures such as lists, tuples, sets, and dictionaries.
  • Data and File Handling: File Operations: Perform file handling operations, including reading from and writing to files.
  • Data Manipulation: Use Python to manipulate data, translate it into computer representations, and work with data frames.
  • Libraries: Utilize Python libraries and packages for specific tasks, such as data analysis and visualization.
  • Advanced Concepts: Object-Oriented Programming (OOP): Design and implement concepts like classes and inheritance to build more complex programs.
  • Database and Network Programming: Interact with databases and build applications for network programming.
  • Machine Learning & Web Services: Create Python code for basic machine learning tasks and develop web services.
  • Professional Skills : Problem-Solving: Develop an algorithmic approach to solve computational problems effectively.
  • Debugging: Apply debugging techniques to identify and resolve errors in Python code.
  • Logical Reasoning: Improve logical thinking and critical reasoning through programming exercises.
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Beginner

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.

GH₵9000

GH₵10000

Hours

Last updated Fri, 12-Sep-2025

ARTIFICIAL INTELLIGENCE BASIC COURSE
14 Lessons Hours English
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.
Outcomes:
  • AI Concepts: Understanding and applying fundamental concepts in AI, such as autonomous agents, logical reasoning, and problem-solving techniques.
  • Machine Learning: Gaining knowledge of machine learning algorithms and learning how to extract models from data.
  • Data Handling: The ability to work with and process datasets in various formats, preparing them for AI model training.
  • Algorithm Implementation: Designing, implementing, and experimenting with AI algorithms and models, including deep learning for tasks like image processing and time-series forecasting.
  • Problem Decomposition: Breaking down complex problems into smaller, manageable parts to develop effective AI-based solutions.
  • Solution Design: Creating innovative solutions by applying AI techniques to solve real-world, multidisciplinary problems. Critical Thinking: Evaluating AI solutions and adapting to new technologies and tools to address emerging challenges.
  • Critical Thinking: Evaluating AI solutions and adapting to new technologies and tools to address emerging challenges.
  • Professional Practice: Adhering to ethical guidelines and best practices in the field of AI.
  • Collaboration: Working effectively in teams and collaborating with stakeholders on AI projects.
  • Communication: Clearly articulating complex AI ideas, solutions, and arguments both in written and oral forms.
  • Lifelong Learning: Demonstrating the ability to learn independently and engage in continuous professional development to stay current with AI advancements.
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Beginner

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

Free

Hours

Last updated Sun, 14-Sep-2025

AI ITS PEARSON CERTIFICATION
17 Lessons Hours English
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
Outcomes:
  • Acquiring theoretical and technical knowledge in AI and machine learning
  • Applying AI techniques to solve problems
  • Designing and implementing AI models
  • Analyzing AI system performance
  • Developing strong professional and ethical skills
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Intermediate

JAVA COURSE NOTES

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Java course outcomes include the ability to apply fundamental and object-oriented programming concepts, such as classes, objects, inheritance, and polymorphism, to design and write efficient, standalone applications.

GH₵9000

GH₵10000

Hours

Last updated Thu, 11-Sep-2025

JAVA COURSE NOTES
42 Lessons Hours English
Java course outcomes include the ability to apply fundamental and object-oriented programming concepts, such as classes, objects, inheritance, and polymorphism, to design and write efficient, standalone applications.
Outcomes:
  • Understanding OOP Fundamentals:
  • Writing Java Programs
  • Control Flow and Data Structures
  • Exception Handling:
  • Multithreading
  • Graphical User Interfaces (GUI):
  • File and Database Operations:
  • Using Java APIs:
  • Building Applications:
  • Client-Server Interaction:
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Top Instructors

They efficiently serve large number of students on our platform

Patricia Bonsu

Resin Artist

Theodore Kyei

I am a Ghanaian Consultant, Businessman, Teacher and Farmer. I am married with two (2) children.

SHERIFF OKINE

I am a Ghanaian Businessman, I.T consultant and a Software Engineer.

Watt Fiedin Adams

I am a Ghanaian Businessman passionate about teaching languages like French and English. I am married to Hannah Watt Fiedin (Mrs.) and father to Godstime Watt Fiedin. Making language easy to learn is my Hallmark.

Watt Fiedin Adams

I am a Ghanaian businessman living in Accra. I am married to Hannah Watt Fiedin (Mrs.) and father to Godstime Watt Fiedin. I am very passionate about Entrepreneurship and aim at creating jobs for the youth. I like teaching and creating teaching contents for others to use. Jesus is my Mentor and Inspiration.

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