Building Information Modeling Bim Autodesk Revit Architecture
HOME REGISTER 24 HOURS IN PERSON ENGLISH 20 HOURS IN PERSON ENGLISH HOME REGISTER This training course is intended to teach the concepts and principles from building design through construction documentation using the Autodesk® Revit® Architecture software. What You’ll Learn Students will gain a comprehensive skill set and advanced skills in Revit in a structural environment and will be knowledgeable in relevant workflows, processes, and project objectives. Skills You’ll Gain Building Information Modeling Architectural Modeling and Detailing Roles Architects Draftsman Detailers What You’ll Learn Students will gain a comprehensive skill set and advanced skills in Revit in a structural environment and will be knowledgeable in relevant workflows, processes, and project objectives. Skills You’ll Gain Building Information Modeling Architectural Modeling and Detailing Role Architects Draftsman Detailers Course Outline Module 1: Introduction to BIM and Revit Architecture Module 2: Architectural Modeling Module 3: Revit Components Module 4: Documentation – Part 1 Module 5: Documentation – Part 2 Required Resources Hardware: 64-bit Microsoft® Windows® 10 or Windows 11; Intel® i-Series, Xeon®, AMD® Ryzen, Ryzen Threadripper PRO. 2.5GHz or Higher; 32 GB RAM; 1920 x 1200 with true color; minimum of 4GB of video memory; 30 GB free disk space; 10,000+ RPM HardDrive (for Point Cloud interactions) or Solid-State Drive Software: Autodesk Revit Network: Adequate Internet Connection Pre-Requisites Navigate the Revit interface.View and navigate a Revit model.Understand the concept of architectural 3D modeling.Create and modify basic 3D elements, annotations, and views.Demonstrate basic digital literacy skills Assessment In this BIM Revit Architecture course, there will be Practical Assessment: Hands-on activities are prepared for this course to assess the attainment of learning outcomes. Final Assessment: This exam measures your ability to create, modify and manage a structural project using Revit Structures. The learner will receive a Certificate Badge with an indicated depth of learning. Credit and Recognition Upon completing the BIM Revit Architecture course, The learner will receive a Certificate Badge with an indicated depth of learning. This course is accredited by Autodesk and is facilitated by an Autodesk Certified professional. Learning Pathways This BIM Architecture Course is stackable for “Building Information Modeling: Revit Structure” microcredential course.
Project Planning and Control using Primavera P6-Fundamentals
HOME REGISTER 24 HOURS IN PERSON ENGLISH 20 HOURS IN PERSON ENGLISH HOME REGISTER This comprehensive 20-hour course equips learners with essential project management skills while introducing them to Primavera P6. This powerful project management solution seamlessly integrates traditional project management techniques with user-friendly resource and cost management approaches. While Primavera P6 is commonly associated with construction, its versatility extends across diverse sectors, including banking, IT, government, and healthcare. It demonstrates its widespread applicability thereby making this course ideal for individuals who want to have necessary competencies in effectively handling large-scale, highly sophisticated and multifaceted projects. What You’ll Learn Upon completing this course, you will possess the competency to effectively employ Primavera P6’s fundamental features and functionalities within your organization’s project management workflows. You can craft detailed project schedules and establish a solid baseline schedule. Additionally, you will excel at project initiation and supervision, optimizing resource utilization to maximize the delivery of project objectives and outcomes. Skills You’ll Gain Project management Project planning Roles Project Planner Scheduler Project Scheduling and Control Specialist What You’ll Learn Upon completing this course, you will possess the competency to effectively employ Primavera P6’s fundamental features and functionalities within your organization’s project management workflows. You can craft detailed project schedules and establish a solid baseline schedule. Additionally, you will excel at project initiation and supervision, optimizing resource utilization to maximize the delivery of project objectives and outcomes. Skills You’ll Gain Project management Project planning Role Project Planner Scheduler Project Scheduling and Control Specialist Course Outline Module 1: Introduction, Navigation and Project Creation Module 2: Calendars, WBS and Activities Module 3: Display, Relationships and Scheduling Module 4: Resources and Exporting and Importing of Files Module 5: Printing, Report and Basics of Baselining Required Resources To run Primavera P6: Modern, fast processor (multi-core recommended), 4GB RAM (8GB recommended), 20GB+ free disk space (Hardware); Windows 10 or higher, Oracle Database or Microsoft SQL Server, Microsoft .NET Framework (Software); Required for installation, updates, and remote database access (Network) Pre-Requisites Ability to use a personal computer and an understanding of how projects are planned, scheduled, and controlled Assessment In this Project Planning and Control using Primavera P6 – Fundamentals course, there will be: One (1) summative assessment, conducted synchronously which is performance-based allowing learners to participate on-site. Credit and Recognition Upon completing the Project Planning and Control using Primavera P6, learners will receive a Certificate of Completion and a badge. These serve both as a recognition of acquired project planning and control expertise and a foundational step toward more advanced studies in said field. This course was co-developed and is co-delivered with CIM Technologies, Inc., one of the Philippines’ leaders in providing world-class project management tools and education services for Project Management to various local and international companies across Architecture, Engineering and Construction (AEC) and Manufacturing industries. To ensure the quality of this microcredential, continuous feedback loops with students, instructors, and industry practitioners are maintained to improve content, delivery, and assessment methods continuously. Learning Pathways This Fundamentals Course is stackable and is a prerequisite for “Advanced Project Planning and Control using Primavera P6” microcredential course
Data Management
HOME REGISTER 23 HOURS ONLINE ENGLISH 20 HOURS HYBRID ENGLISH HOME REGISTER In this course, you will learn the basics of data concepts and how to use Microsoft Azure’s data services to manage them effectively. We will cover everything from relational and non-relational data, to big data and analytics, giving you a robust understanding of cloud data services available on Microsoft Azure. The course will guide you through the fundamentals of relational data and the database services offered by Azure. You’ll get to know how to work with non-relational data using Azure storage solutions and will be introduced to the capabilities of Azure Cosmos DB. Plus, we’ll shed light on large-scale data warehousing and how to make the most of real-time analytics and data visualization. This course is ideal for those who are looking to grasp database concepts in a cloud setting, and to gain a solid foundation in Microsoft Azure’s data services, whether you’re brushing up on basics or learning it all for the first time. What You’ll Learn At the end of this course, learners will be able to describe data concepts, roles, and services. They will also be adept at evaluating relational database service and non-relational data on Azure. Additionally, learners will be skilled in managing data analytics and visualization on Azure. Skills You’ll Gain Data Science Cloud Infrastructure Management Roles Database Administrator What You’ll Learn At the end of this course, learners will be able to describe data concepts, roles, and services. They will also be adept at evaluating relational database service and non-relational data on Azure. Additionally, learners will be skilled in managing data analytics and visualization on Azure. Skills You’ll Gain Data Science Cloud Infrastructure Management Roles Database Administrator Course Outline Module 1: Cloud Concepts Module 2: Azure Architecture and Services Module 3: Azure Management and Governance Module 4: Data Concepts Module 5: Relational Data Module 6: Non-relational Data Module 7: Data Analytics in Azure Reqired Resources Laptop, Intel Core i5 or higher, 16GB RAM, 1TB Storage, Graphics Card (Hardware); Microsoft Azure (Software); Adequate Internet Connection (Network) Pre-Requisites None Assessment In this Data Management course: One (1) diagnostic assessment is available, conducted synchronously and based on knowledge, with the flexibility for learners to choose between remote or on-site participation. Two (2) formative assessments are offered, one focusing on knowledge and the other on performance. Both are available asynchronously, allowing learners to complete them at their own pace, with the option for remote or on-site participation. A knowledge-based style summative assessment is scheduled to be conducted synchronously, providing learners with the choice of participating remotely or on-site. Credit and Recognition The learner is eligible to take the Microsoft Certified: Azure Fundamentals and Azure Data Fundamentals. This course is facilitated by a Microsoft Certified professional. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways Data Management is the foundational course for your journey in the world of data. Upon successful completion, you’ll have the choice to specialize further in:
Data Science
HOME REGISTER 46 HOURS ONLINE ENGLISH 46 HOURS ONLINE ENGLISH HOME REGISTER In this Data Science course, we will explore the vast field of machine learning leveraging the potential of Azure Machine Learning. Whether you’re building on your foundational knowledge of Python and machine learning or just getting started, this course will guide you through important aspects such as data ingestion, preparation, model training, and deployment. Plus, you’ll learn how to monitor machine learning solutions proficiently within the Microsoft Azure environment. It’s a course designed to give you the skills and knowledge to harness the full power of Azure in machine learning, helping you become proficient in data science. What You’ll Learn At the end of this course, learners will be able to describe what data science and machine learning are, including their applications & use cases, and the various types of tasks performed by data scientists. They will also be proficient in examining the Azure Machine Learning SDK tool. Furthermore, learners will be equipped to deploy, train, and analyze a model using Azure Machine Learning. Skills You’ll Gain Microsoft Azure Machine learning Roles Data Scientist AI Engineer What You’ll Learn At the end of this course, learners will be able to describe what data science and machine learning are, including their applications & use cases, and the various types of tasks performed by data scientists. They will also be proficient in examining the Azure Machine Learning SDK tool. Furthermore, learners will be equipped to deploy, train, and analyze a model using Azure Machine Learning. Skills You’ll Gain Microsoft Azure Machine learning Role Data Scientist AI Engineer Course Outline Module 1: Design a Machine Learning SolutionModule 2: Exploring Azure Machine LearningModule 3: Data Management in Azure MLModule 4: Working with Azure ML Compute ResourcesModule 5: No-Code Approaches in Azure MLModule 6: Automation in Model SelectionModule 7: Using Notebooks in Azure MLModule 8: Training Models using ScriptsModule 9: Optimization Techniques in Azure MLModule 10: Model Management TechniquesModule 11: Model Deployment and ConsumptionModule 12: Machine Learning Operations (MLOps) in Azure Required Resources Laptop, Intel Core i5 or higher, 16GB, 1TB Storage, Graphics Card (Hardware); Microsoft Azure (Software); Adequate Internet Connection (Network) Pre-Requisites This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Assessment One (1) diagnostic assessment is available, conducted synchronously, and is knowledge-based, with the flexibility for learners to choose between remote or on-site participation. Two (2) formative assessments are offered, one focused on knowledge and the other on performance. Both are available asynchronously, allowing learners to complete them at their own pace, and learners have the option to participate remotely or on-site. A performance-based summative assessment is to be conducted synchronously, providing learners with the choice of remote or on-site participation. Credit and Recognition The learner is eligible to take the Microsoft Certified: Azure Data Scientist Associate. This course is facilitated by a Microsoft Certified professional. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways Data Science is the ultimate destination, and it can be reached through two distinct paths:Data Analytics: If you’re passionate about discovering actionable insights from data.Machine Learning: If you’re intrigued by the world of predictive modeling and artificial intelligence.
Data Engineering
HOME REGISTER 32 HOURS ONLINE ENGLISH 65 HOURS ONLINE ENGLISH HOME REGISTER In this Data Engineering course, you will learn how to work with batch and real-time analytics solutions using the technology provided by the Azure data platform. The journey begins with understanding the core computing and storage technologies essential in building analytical solutions. You will discover how to explore data stored in data lakes interactively, using files as your guide. From there, we will cover the various techniques available for data ingestion using prominent tools such as Apache Spark in Azure Synapse Analytics or Azure Databricks, as well as Azure Data Factory or Azure Synapse pipelines. Not only will you learn how to bring data into your analytics systems, but you will also explore different methods to transform this data using the same ingestion tools. As we go further, we emphasize the critical role of security in protecting data whether it’s stored or being transferred. Towards the end, you will learn to create real-time analytics systems, opening doors to crafting solutions that work with data as it comes in, providing insights faster and more accurately. This course is designed to give you hands-on experience and a strong foundation in the fast-paced world of data engineering. What You’ll Learn At the end of this course, learners will be able to design and implement various stages and concepts in the data engineering lifecycle, including storage, processing, and security, in Microsoft Azure. Additionally, they will be capable of creating and performing data service operations, such as monitoring and optimization, in Microsoft Azure. Skills You’ll Gain Data science Azure Roles Data Engineer What You’ll Learn At the end of this course, learners will be able to design and implement various stages and concepts in the data engineering lifecycle, including storage, processing, and security, in Microsoft Azure. Additionally, they will be capable of creating and performing data service operations, such as monitoring and optimization, in Microsoft Azure. Skills You’ll Gain Data science Azure Role Data Engineer Course Outline Module 1: Get Started with Data Engineering on Azure Module 2: Build data analytics solutions using Azure Synapse serverless SQL pools Module 3: Perform data engineering with Azure Synapse Apache Spark Pools Module 4: Work with Data Warehouses using Azure Synapse Analytics Module 5: Transfer and transform data with Azure Synapse Analytics pipelines Module 6: Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics Module 7: Implement a Data Streaming Solution with Azure Stream Analytics Module 8: Govern data across an enterprise Module 9: Data engineering with Azure Databricks Required Resources Laptop, Intel Core i5 or higher, 16GB, 1TB Storage, Graphics Card (Hardware); Microsoft Azure (Software); Adequate Internet Connection (Network) Pre-Requisites The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course are data analysts and data scientists who work with analytical solutions built on Microsoft Azure. Assessment One (1) diagnostic assessment is available, conducted synchronously and is knowledge-based, with the flexibility for learners to choose between remote or on-site participation. Two (2) formative assessments are offered, one focused on knowledge and the other on performance. Both are available asynchronously, allowing learners to complete them at their own pace, and learners have the option to participate remotely or on-site. A performance-based summative assessment is to be conducted synchronously, providing learners with the choice of remote or on-site participation. Credit and Recognition The learner is eligible to take the Microsoft Certified: Azure Data Engineer Associate. This course is facilitated by a Microsoft Certified professional. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways Data Management is your prerequisite for entering the world of Data Engineering, where you’ll learn how to architect and manage data pipelines efficiently. Data Engineering is an essential step toward mastering Machine Learning.
Machine Learning
HOME REGISTER 19 HOURS ONLINE ENGLISH 19 HOURS ONLINE ENGLISH HOME REGISTER In this Machine Learning course, we will equip you with a strong foundation in the critical concepts and practical skills needed to work with classical machine learning models. The journey begins with understanding the core principles, supported by a healthy balance of theoretical knowledge and hands-on exercises to grasp various machine learning techniques and their practical applications. You’ll become adept at preprocessing and analyzing data, building resilient models, and evaluating their performance to make informed, data-driven decisions. Suitable for both beginners and those looking to build on their existing knowledge, this course aims to empower you with the competencies required to tackle real-world challenges effectively using classical machine learning models. What You’ll Learn At the end of this course, learners will be able to demonstrate a comprehensive understanding of the fundamental concepts, principles, and techniques of machine learning. They will also be equipped to apply their knowledge of machine learning to real-world scenarios. Furthermore, they will develop the ability to critically analyze and evaluate machine learning models, synthesize their knowledge and skills to construct and refine these models, and evaluate the effectiveness and performance of machine learning models. Skills You’ll Gain Microsoft Azure Machine learning Roles Data Scientist AI Engineer What You’ll Learn At the end of this course, learners will be able to demonstrate a comprehensive understanding of the fundamental concepts, principles, and techniques of machine learning. They will also be equipped to apply their knowledge of machine learning to real-world scenarios. Furthermore, they will develop the ability to critically analyze and evaluate machine learning models, synthesize their knowledge and skills to construct and refine these models, and evaluate the effectiveness and performance of machine learning models. Skills You’ll Gain Microsoft Azure Machine learning Role Data Scientist AI Engineer Course Outline Module 1: Introduction to Data for Machine LearningModule 2: Explore and Analyze Data with PythonModule 3: Train and Understand Regression Models in Machine LearningModule 4: Refine and Test Machine Learning ModelsModule 5: Train and Evaluate Regression ModelsModule 6: Create and Understand Classification Models in Machine LearningModule 7: Customize Architectures and Hyperparameters Using Random ForestModule 8: Confusion Matrix and Data ImbalancesModule 9: Optimize Model Performance with ROC and AUCModule 10: Train and Evaluate Classification ModelsModule 11: Train and Evaluate Clustering ModelsModule 12: Train and Evaluate Deep Learning Models Required Resources Laptop, Intel Core i5 or higher, 16GB, 1TB Storage, Graphics Card (Hardware); Microsoft Azure (Software); Adequate Internet Connection (Network) Pre-Requisites This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Assessment In this Machine Learning course: One (1) diagnostic assessment is available, conducted synchronously, and is knowledge-based, with the flexibility for learners to choose between remote or on-site participation. Two (2) formative assessments are offered, one focused on knowledge and the other on performance. Both are available asynchronously, allowing learners to complete them at their own pace, and learners have the option to participate remotely or on-site. A performance-based summative assessment is to be conducted synchronously, providing learners with the choice of remote or on-site participation. Credit and Recognition Upon successful completion of the Machine Learning course, learners will receive a Certificate of Completion. This certificate serves both as a recognition of acquired expertise in machine learning and as a foundational step toward more advanced studies in the field of Data Science. This course is facilitated by a Microsoft Certified professional. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways Your journey into Machine Learning begins with either Data Engineering or Data Management. This foundational knowledge will equip you with the skills needed to explore the exciting field of Machine Learning, which, in turn, opens doors to the broader field of Data Science.
Networking Essentials
HOME REGISTER 40 HOURS HYBRID ENGLISH 40 HOURS HYBRID ENGLISH HOME REGISTER In the Networking Essentials course, you’ll be introduced to the fundamental principles and practices of computer networking. We’ll start with the basics, such as understanding network architecture, protocols, topologies, and how to secure a network. From there, we will explore different types of networks including local area networks (LANs), wide area networks (WANs), and even the internet itself. You will learn about the key protocols and technologies that allow devices to connect and communicate, diving into topics such as Ethernet, TCP/IP, and DNS. But it’s not just about theory; we’ll give you hands-on experience in network administration and troubleshooting, teaching you how to handle devices like routers and switches and how to solve network issues as they arise. By the end of this course, you’ll have a solid foundation in networking essentials, with the know-how to manage and maintain various network environments. What You’ll Learn At the end of this course, learners will be able to explain the purpose of common networking protocols and technologies. They will also be skilled in configuring and managing network devices, such as routers and switches. Additionally, learners will be adept at using network troubleshooting tools and techniques to diagnose and resolve network issues. Skills You’ll Gain Using network tools Network troubleshooting Designing small size network Roles Network Technician Network Engineer Network Administrator What You’ll Learn At the end of this course, learners will be able to explain the purpose of common networking protocols and technologies. They will also be skilled in configuring and managing network devices, such as routers and switches. Additionally, learners will be adept at using network troubleshooting tools and techniques to diagnose and resolve network issues. Skills You’ll Gain Using network tools Network troubleshooting Designing small size network Role Network Technician Network Engineer Network Administrator Course Outline Module 1: Internet Connection Module 2: Network Protocols and Architecture Module 3: Data Communications and Network Services Module 4: Home/Office Network Basics Module 5: Network Configuration Reqired Resources Laptop or PC, Windows 10, 4GB RAM or higher, Adequate Internet Connection (Network); CISCO Packet Tracer 8.0 or later (Software) Pre-Requisites A basic understanding of computer systems and internet browsing, or any courses related to Computer Fundamentals. Assessment One (1) diagnostic assessment is available, conducted asynchronously, and is knowledge-based, with the flexibility for learners to choose between remote or on-site participation. A performance-based formative assessment is offered, conducted synchronously. Learners have the option to participate remotely or on-site. A performance-based summative assessment is to be conducted synchronously, and learners can choose between remote or on-site participation. Credit and Recognition Learners are eligible to take the CISCO Certification, the certification is globally recognized wherever Cisco and Cisco NetAcad are acknowledged. This course is delivered in partnership with CISCO Networking Academy. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways Under the Junior Cybersecurity Analyst Pathway, Networking Essentials serves as the foundational course. It lays the groundwork for your journey into the world of cybersecurity, specifically in the domain of Endpoint Security.
Cybersecurity Network Defense
HOME REGISTER 40 HOURS HYBRID ENGLISH 40 HOURS HYBRID ENGLISH HOME REGISTER In the “Cybersecurity: Network Defense” course, you will embark on a journey to understand the vital aspects of cybersecurity, including how to defend systems and networks effectively. We cover a broad spectrum of topics such as access control, the functioning and application of firewalls, ensuring security in the cloud environment, and the practical applications of cryptography. Moreover, we delve into understanding network security data and how to evaluate security alerts proficiently. Throughout the course, you will have hands-on experiences that will empower you to set defensive measures in place, manage access controls, work with simulated firewalls, and make sense of various kinds of network data. By the end, you will be adept at assessing security alerts, equipped with the skills to be a line of defense in the ever-evolving landscape of cybersecurity. What You’ll Learn At the end of this course, learners will be able to implement various aspects of system and network defense. They will also be skilled in configuring local and server-based access control. Furthermore, learners will be equipped to recommend cloud security requirements based on a given cloud scenario, and they will be proficient in using different types of logs and records to store information regarding hosts and the network. Skills You’ll Gain Detecting Intrusions Threat Monitoring and Analysis Roles Cybersecurity Officer Cybersecurity Analyst Network Analyst What You’ll Learn At the end of this course, learners will be able to implement various aspects of system and network defense. They will also be skilled in configuring local and server-based access control. Furthermore, learners will be equipped to recommend cloud security requirements based on a given cloud scenario, and they will be proficient in using different types of logs and records to store information regarding hosts and the network. Skills You’ll Gain Detecting Intrusions Threat Monitoring and Analysis Role Cybersecurity Officer Cybersecurity Analyst Network Analyst Course Outline Module 1: Understanding Defense Module 2: System and Network Defense Module 3: Access Control Module 4: Access Control Lists Module 5: Firewall Technologies Module 6: Zone-Based Policy Firewalls Module 7: Cloud Security Module 8: Cryptography Module 9: Technologies and Protocols Module 10: Network Security Data Module 11: Evaluating Alerts Required Resources Computer, 2GB RAM or higher, 8GB free disk space (Hardware); Oracle VirtualBox and virtual machine image file (Software); High-speed Internet Connection (Network) Pre-Requisites PC and internet navigation skills, basic Windows and Linux system concepts, basic understanding of computer networks, and binary and hexadecimal conversion; completed course Cybersecurity: Endpoint Security Assessment In this Cybersecurity: Endpoint Security course: One (1) diagnostic assessment is available, to be conducted asynchronously, and will be knowledge-based, allowing learners to proceed at their own pace. It offers the flexibility for remote or on-site participation. A performance-based formative assessment is to be offered, to be conducted synchronously, allowing learners to choose between remote or on-site participation. A performance-based summative assessment is to be conducted synchronously, providing learners with the option of remote or on-site participation. Credit and Recognition Learners are eligible to take the CISCO Certification “Cybersecurity: Threat Management”, and the certification is globally recognized wherever Cisco and Cisco NetAcad are acknowledged. The course is delivered in partnership with CISCO Networking Academy and aligns with CISCO-Certified Support Technician (CCST) Cybersecurity certification. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways Cybersecurity: Network Defense Cybersecurity: Endpoint Security is a prerequisite for Cybersecurity: Network Defense. After mastering the fundamentals of endpoint security, you’ll be ready to delve deeper into network defense strategies as part of the Junior Cybersecurity Analyst Pathway.
Cybersecurity: Endpoint Security
HOME REGISTER 40 HOURS HYBRID ENGLISH 40 HOURS HYBRID ENGLISH HOME REGISTER In the Cybersecurity: Endpoint Security course, you’ll begin with the foundational principles of cybersecurity, setting the stage to understand the common threats, vulnerabilities, and risks prevalent in today’s digital landscape. As we delve deeper, we’ll cover the nuances of different network protocol vulnerabilities and service vulnerabilities, with special emphasis on Windows and Linux endpoints. The course not only brings you face-to-face with the current trends and possible attacks but also equips you to counter these threats effectively through mitigation and defense strategies. By the end of your journey, you will have a rounded understanding of cybersecurity, capable of identifying prevalent threats and dissecting common attacks. Whether it’s understanding the critical concepts of endpoint operations and security or analyzing malware intricacies, this course has got you covered, preparing you to navigate the cyber world safely and confidently. What You’ll Learn At the end of this course, learners will be able to explain the threats, vulnerabilities, and attacks that occur in the various domains. They will also be competent in recommending basic threat mitigation measures. Furthermore, learners will be adept at using malware investigation tools to understand malware features and will be proficient in evaluating endpoint protection and the impacts of malware. Skills You’ll Gain Detecting intrusions Threat monitoring and analysis Roles Cybersecurity Officer Network Administrator What You’ll Learn At the end of this course, learners will be able to explain the threats, vulnerabilities, and attacks that occur in the various domains. They will also be competent in recommending basic threat mitigation measures. Furthermore, learners will be adept at using malware investigation tools to understand malware features and will be proficient in evaluating endpoint protection and the impacts of malware. Skills You’ll Gain Detecting intrusions Threat monitoring and analysis Role Cybersecurity Officer Network Administrator Course Outline Module 1: Introduction to Cybersecurity Module 2: Cybersecurity Threats, Vulnerabilities, and Attacks Module 3: Securing Networks Module 4: Attacking the Foundation Module 5: Attacking What We Do Module 6: Wireless Network Communication Devices Module 7: Network Security Infrastructure Module 8: The Windows Operating System Module 9: Linux Overview Module 10: System and Endpoint Protection Module 11: Cybersecurity Principles, Practices, and Processes Required Resources Computer, 2GB RAM or higher, 8GB free disk space (Hardware); Oracle VirtualBox, Packet Tracer 8.0.1 or higher (Software); High-speed Internet Connection (Network) Pre-Requisites PC and internet navigation skills, basic understanding of computer networks, and knowledge of TCP/IP networking including network protocols, services, and processes; completed course Cybersecurity: Network Defense Assessment One (1) diagnostic assessment is available, conducted asynchronously, and is knowledge-based, allowing learners to proceed at their own pace. It offers the flexibility for remote or on-site participation. A performance-based formative assessment is offered, conducted synchronously, allowing learners to choose between remote or on-site participation. A performance-based summative assessment is to be conducted synchronously, providing learners with the option of remote or on-site participation. Credit and Recognition Learners are eligible to take the CISCO Certification “Cybersecurity: Network Defense”, the certification is globally recognized wherever Cisco and Cisco NetAcad are acknowledged. This course is delivered in partnership with CISCO Networking Academy. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways Networking Essentials is a prerequisite for Cybersecurity: Endpoint Security. Upon successfully completing this course, you’ll be prepared to advance to the next step in the Junior Cybersecurity Analyst Pathway.
IoT – Internet of Things: Connecting Things
HOME REGISTER 20 HOURS HYBRID ENGLISH 20 HOURS HYBRID ENGLISH HOME REGISTER In the “IoT – Internet of Things: Connecting Things” course, you’ll dive deep into the fundamental concepts that drive the Internet of Things (IoT). You’ll start by exploring the core reasons behind the move to connect everything, identifying what exactly can be connected, and learning the strategies to establish this extensive connectivity. The journey will take you through the workings of a typical IoT solution which encompasses sensors, local analytic capabilities, network connections, and the skills to analyze the collected data effectively. You will learn to enhance products, processes, or businesses through detailed instrumentation and data collection, starting from an end-to-end connection from a sensor to a gateway, all the way to networks and the cloud. Moreover, the course guides you in pinpointing problems solvable by IoT and helps you design an IoT system precisely catered to solve those issues. It is a comprehensive approach to understanding and utilizing IoT in real-world scenarios. What You’ll Learn At the end of this course, learners will be able to design circuits and develop microcontroller programs using Arduino with various components. They will also be proficient in developing Python programs on the Raspberry Pi to enable IoT functionality. Additionally, learners will be adept at utilizing Packet Tracer to simulate Python-integrated IoT systems and will be equipped to construct business models using the Business Model Canvas. They will also understand the applications of IoT in sectors like healthcare, energy, smart-city, and manufacturing. Furthermore, learners will recognize the significance of designing secure IoT solutions that safeguard devices, software, and data. Skills You’ll Gain Python programming for IoT IoT system design Roles IoT Developer IoT Product Manager What You’ll Learn At the end of this course, learners will be able to design circuits and develop microcontroller programs using Arduino with various components. They will also be proficient in developing Python programs on the Raspberry Pi to enable IoT functionality. Additionally, learners will be adept at utilizing Packet Tracer to simulate Python-integrated IoT systems and will be equipped to construct business models using the Business Model Canvas. They will also understand the applications of IoT in sectors like healthcare, energy, smart-city, and manufacturing. Furthermore, learners will recognize the significance of designing secure IoT solutions that safeguard devices, software, and data. Skills You’ll Gain Python programming for IoT IoT system design Roles IoT Developer IoT Product Manage Course Outline Module 1: Things and Connections Module 2: Sensors, Actuators, and Microcontrollers Module 3: Software is Everywhere Module 4: Fog Networks and Cloud Services Module 5: Industrial IoT Applications Module 6: Create an IoT Solution Required Resources Microsoft Windows or Mac OS (Software); Prototyping Lab Application, Cisco Packet Tracer 7.1 or later (Software); Raspberry Pi 3 CanaKit Ultimate Starter Kit, Sparkfun Inventor’s Kit for Arduino – V3.2, Multicolored Jumper Wires (40-pin Male to Female, 40-pin Male-to-Male, 40-pin Female-to-Female), Breadboard Jumper Wires (Hardware). Pre-Requisites Basic Python programming skills and foundational knowledge in networking and electronics Assessment In this IoT: Big Data and Analytics course: One (1) diagnostic assessment is available, to be conducted synchronously and is knowledge-based, with the flexibility for learners to choose between remote or on-site participation. A performance-based summative assessment is to be conducted synchronously, offering learners the option of participating remotely or on-site. Two (2) formative assessments are offered, both concentrating on performance-based skills measurement and to be conducted synchronously. Learners have the option to participate remotely or on-site. Credit and Recognition This Fundamental Course is a stackable pre-requisite for the Hackathon Playbook and IoT Security, and the certification is globally recognized wherever Cisco and Cisco NetAcad are acknowledged. This course is delivered in partnership with CISCO Networking Academy. To ensure the quality of this micro-credential, continuous feedback loops with students, instructors, and industry practitioners are maintained to continually improve content, delivery, and assessment methods. Learning Pathways “IoT – Internet of Things: Connecting Things” requires prior completion of “IoT – Internet of Things: Big Data and Analytics.” This prerequisite ensures that you have the foundational knowledge needed for a smooth and successful progression in your IoT education.
