• Introduction to the Python language, the design, analysis, and

  implementation of fundamental data structures in Python.

• Common algorithms that operate on data structures.

• Data querying and processing

• Tableau and matplotlib in Python and scikit-learn library.

• Basics of Machine Learning, What and why Machine Learning, Applications of Machine Learning Types of Machine Learning.

• Fundamental principles of data analytics, and machine learning techniques such as neural network, deep learning, and reinforcement learning as well as NLP andtext analysis.

• Basic algorithms, such as regression, decision trees, and Nearest Neighbours, designing a machine learning experiment which includes cross validation and evaluation metrics.

• Data preparation and exploration, defining the problem, and choosing theappropriate algorithm.

• You will apply your data visualization and reporting skills through this project-based Data Science course.

• You will be able to apply open data to complete Data Science projects.

• With the skills gained in this course, you will be able to formalize problems, enumerate assumptions, design experiments, evaluate outcomes, and present findings to help in high level Decision making.

• Understand hacking techniques, including malware, viruses and phishing.

• Develop response plans and procedures to deal with cyber security threats and attacks.

• Integrate response plans with disaster recovery plans and business continuity plans.

• Communicate effectively with internal and external stakeholders.

• Governance - Explain enterprise governance and governance, risk, and compliance tools;

• Compliance - Explain and apply various security and compliance.

• Privacy - Explain privacy frameworks applicable to the organization.

• Risk Management - Explain how risk ties with other lifecycle processes within the organization and analyze risks outside of the business.

This course introduces students to various hardware components that make up a computer system. Students develop a systematic approach to troubleshooting hardware.

This course covers the installation, configuration and troubleshooting of operating system software and application software packages. Student will also learn about the security issues involving software installations.

This course covers the installation, configuration and storage of Windows Server 2016. Students will learn to perform installations and to network storage systems. This course delves into cluster servers management and virtual machine management with Microsoft Hyper-V (formerly Windows Server Virtualization).

This course covers computer cryptology that focuses on secrecy, authentication and integrity. Students are introduced to algorithms used for cryptographic key generation, digital signing and confidential information sharing.

Students learn about building, configuring and troubleshooting Cisco devices, router and switches, as well as implementing IP Address schemes. Students will have hands on experience with Catalyst switches, routers, and Cisco Packet Tracers.

This course provides the students with an introduction to the field of cyber security. Students will learn fundamental concepts of cyber security defence and securing the perimeter and local network. This course will teach students to identify vulnerabilities and the plan to counteract to mitigate the risks.

Students will gain practical and hands-on experience to apply the knowledge and skills learned in class to real-world experiences in a professional capacity during their practicum placement.

This module is a continuation of Web Design and Development 1, where students learn the techniques they need to create rich, responsive websites while maintaining backward compatibility with older browsers.

This course includes two main components: WordPress and Bootstrap. Students will learn how to create websites using both.

Students learn server-side scripting starting with basic client/server concepts and building upon it with PHP theory and basic syntax. They will learn to use local storage vs. session storage vs. cookie storage, and HTTP vs. HTTPS. This module will teach students different encoding types for transport between browser and server applications, basic web application security and the dangers of cross site scripting and session hijacking.

Students will learn the fundamental security principals of the web, and how to prevent common attacks.

The Career Preparation consists of different topics, including Self-Assessment, Resume Writing, Cover Letter Preparation, Job Search Strategies, and Interview Skills Improvement. Each module is delivered online with a combination of theoretical principles, samples, exercises, and fun interactions. The instructor, usually the Employment Counselor from ABM College, has a strong background and expertise in employment counselling or coaching.

Configuring and verifying VLANs; interswitch connectivity; Layer 2 discovery protocols; EtherChannel (LACP); Rapid PVST+ Spanning Tree Protocol; Cisco Wireless Architectures and AP modes; physical infrastructure connections of WLAN components; AP and WLC management access connections (Telnet, SSH, HTTP, HTTPS, console, and TACACS+/RADIUS).

Configuring and verifying inside source NAT and NTP; exploring the role of DHCP and DNS withing the network; function of SNMP in network operations; use of syslog features; configuring and verifying DHCP client and relay; forwarding per-hop behavior (PHB) for QoS; configuring network devices for remote access using SSH; capabilities and functions of TFTP/FTP.

Impacts of automation on network management; comparing traditional networks with controller-based networking; controller-based and software defined architectures; comparing traditional campus device management with Cisco DNA Center enabled device management; characteristics of REST-based APIs (CRUD, HTTP verbs, and data encoding; capabilities of configuration management mechanisms Puppet, Chef, and Ansible; interpreting JSON encoded data.

Routine technologies; networking devices; deploying ethernet solutions; configuring wireless technologies

Security concepts; Network attacks; securing networks against threats

Prepare for elicitation; Conduct elicitation; Confirm elicitation results; Communicate business analysis information; Manage stakeholder collaboration

Analyze current state; Define future state; Assess risks; Define change strategy

Measure solution performance; Analyze performance measures; Assess solution limitations; Assess enterprise limitations; Recommend actions to increase solution value

• History of data analytics and data science

• Introduction to data science and modeling.

• Data a science principle.

• Foundation of exploring data through computing and statistical analysis

• Structure and applications of probability statistics for decision making.

• Regression analysis and classification trees, and Graphical Visualization

• Introduction to the Python language, the design, analysis, and

  implementation of fundamental data structures in Python.

• Common algorithms that operate on data structures.

• Data querying and processing

• Tableau and matplotlib in Python and scikit-learn library.

• Data Concepts, data preparation

• Data Architecture

• Data Storage and Serving.

• Skills gained in this course will enable you to visualize and analyze data and build interacting data dashboards.

• Data visualization provides the graphical representation of that data.

• Dashboards for data analysis and story telling with data.

• Basics of Machine Learning, What and why Machine Learning, Applications of Machine Learning Types of Machine Learning.

• Fundamental principles of data analytics, and machine learning techniques such as neural network, deep learning, and reinforcement learning as well as NLP andtext analysis.

• Basic algorithms, such as regression, decision trees, and Nearest Neighbors, designing a machine learning experiment which includes cross validation and evaluation metrics.

• Data preparation and exploration, defining the problem, and choosing the appropriate algorithm.

• Introduction predictive modelling techniques as well as related statistical and visualization tools for data mining.

• Common machine learning techniques that are focused on predictive outcomes.

• Evaluation of the performance of the prediction models and how to improve them through time.

• Data preparation and exploration, defining the problem, and choosing the appropriate algorithm.

• Machine learning tools for data visualizations.

• You will apply your data visualization and reporting skills through this project-based Data Science course.

• You will be able to apply open data to complete Data Science projects.

• With the skills gained in this course, you will be able to formalize problems, enumerate assumptions, design experiments, evaluate outcomes, and present findings to help in high level Decision making.

• Design and develop an effective cyber security strategy.
• Communicate security standards, policies and procedures.
• Align cyber security to the enterprise mission and manage programs through business cycles.
• Establish metrics to evaluate program effectiveness.
• Get closer to the coveted ISACA CISM certification.

• Understand hacking techniques, including malware, viruses and phishing.
• Develop response plans and procedures to deal with cyber security threats and attacks.
• Integrate response plans with disaster recovery plans and business continuity plans.
• Communicate effectively with internal and external stakeholders.

• Risk Management - Foundational concepts of information risk management and compliance.
• Information Security - Differentiate the relationship between IT, cyber security, and enterprise risk management.
• Risk Reporting - Analyze and assess IT and enterprise risks.
• Stakeholder Communication - Apply the management and monitoring of identified risk items and determine its applicability to the business.

• Governance - Explain enterprise governance and governance, risk, and compliance tools;
• Compliance - Explain and apply various security and compliance.
• Privacy - Explain privacy frameworks applicable to the organization.
• Risk Management - Explain how risk ties with other lifecycle processes within the organization and analyze risks outside of the business.

• This course introduces students to various hardware components that make up a computer system. Students develop a systematic approach to troubleshooting hardware.
• This course covers the installation, configuration and troubleshooting of operating system software and application software packages. Student will also learn about the security issues involving software installations.

This course covers the installation, configuration and storage of Windows Server 2016. Students will learn to perform installations and to network storage systems. This course delves into cluster servers management and virtual machine management with Microsoft Hyper-V (formerly Windows Server Virtualization).

This course covers computer cryptology that focuses on secrecy, authentication and integrity. Students are introduced to algorithms used for cryptographic key generation, digital signing and confidential information sharing.

Students learn about building, configuring and troubleshooting Cisco devices, router and switches, as well as implementing IP Address schemes. Students will have hands on experience with Catalyst switches, routers, and Cisco Packet Tracers.

This course provides the students with an introduction to the field of cyber security. Students will learn fundamental concepts of cyber security defence and securing the perimeter and local network. This course will teach students to identify vulnerabilities and the plan to counteract to mitigate the risks.

Students will gain practical and hands-on experience to apply the knowledge and skills learned in class to real-world experiences in a professional capacity during their practicum placement.

Course Description: Students are introduced to various applications covered in the web design and web development fields. In this module, students explore the fundamentals of the internet and the essential components of web publishing. They will learn about web layout and design and gain an understanding of the Cascading Style Sheets (CSS) box model and the Hypertext Markup Language (HTML) document flow.

Course Description: This module is a continuation of Web Design and Development 1, where students learn the techniques they need to create rich, responsive websites while maintaining backward compatibility with older browsers.

• Course Description: Students will learn programming fundamentals and basic object-orientated concepts using the latest JavaScript syntax. They will learn how to add JavaScript code on their websites and how to debug it, among others.

Course Description: This course includes two main components: WordPress and Bootstrap.
Students will learn how to create websites using both.

Course Description: This module introduces students to Structured Query Language (SQL) and Data Definition Language (DDL).

Course Description: Students learn server-side scripting starting with basic client/server concepts and building upon it with PHP theory and basic syntax. They will learn to use local storage vs. session storage vs. cookie storage, and HTTP vs. HTTPS. This module will teach students different encoding types for transport between browser and server applications, basic web application security and the dangers of cross site scripting and session hijacking.

Course Description: Students are introduced to industry-standard design software techniques in Photoshop, InDesign and Illustrator. Students will learn how to build professional graphics and the process of how to create them.

Course Description: Students will learn the fundamental security principals of the web, and how to prevent common attacks.

Course Description: Students use all of the knowledge gained in previous modules to create a team project. They develop and implement a website and implement, maintain and query a database. They will develop and implement grid-based transaction applications and evaluate and integrate security features.

The Career Preparation consists of different topics, including Self-Assessment, Resume Writing, Cover Letter Preparation, Job Search Strategies, and Interview Skills Improvement. Each module is delivered online with a combination of theoretical principles, samples, exercises, and fun interactions. The instructor, usually the Employment Counselor from ABM College, has a strong background and expertise in employment counselling or coaching.

The Career Preparation consists of different topics, including Self-Assessment, Resume Writing, Cover Letter Preparation, Job Search Strategies, and Interview Skills Improvement. Each module is delivered online with a combination of theoretical principles, samples, exercises, and fun interactions. The instructor, usually the Employment Counselor from ABM College, has a strong background and expertise in employment counselling or coaching.

This module covers the role and function of network components, characteristics of network topology architecture, cabling types and physical interface, interface and cable issues, TCP and UDP, IPv4 addressing and subnetting, IPv6 addressing and types, IP parameters for clients OS, wireless principles, virtualization fundamentals, and switching concepts.

Configuring and verifying VLANs; interswitch connectivity; Layer 2 discovery protocols; EtherChannel (LACP); Rapid PVST+ Spanning Tree Protocol; Cisco Wireless Architectures and AP modes; physical infrastructure connections of WLAN components; AP and WLC management access connections (Telnet, SSH, HTTP, HTTPS, console, and TACACS+/RADIUS).

Interpreting the components of routine table; router and forward decision; configuring and verifying IPv4 and IPv6 static routing; configuring and verifying single area OSPFv2; concepts, purpose, and functions of first hop redundancy protocols.

Configuring and verifying inside source NAT and NTP; exploring the role of DHCP and DNS withing the network; function of SNMP in network operations; use of syslog features; configuring and verifying DHCP client and relay; forwarding per-hop behavior (PHB) for QoS; configuring network devices for remote access using SSH; capabilities and functions of TFTP/FTP.

Key security concepts; security program elements; configuring and verifying device access control; security password policies elements; IPsec remote access and site-to-site VPNs; configuring and verifying access control lists; configuring Layer 2 security features; differentiating authentication, authorization, and accounting concepts; wireless security protocols; configuring WLAN.

Impacts of automation on network management; comparing traditional networks with controller-based networking; controller-based and software defined architectures; comparing traditional campus device management with Cisco DNA Center enabled device management; characteristics of REST-based APIs (CRUD, HTTP verbs, and data encoding; capabilities of configuration management mechanisms Puppet, Chef, and Ansible; interpreting JSON encoded data.

Networking concepts; Network services; Physical connections; Topologies and architecture; Cloud connectivity; Routing; Wireless technologies; IP addressing

Routine technologies; networking devices; deploying ethernet solutions; configuring wireless technologies

Monitoring and optimizing networks

Security concepts; Network attacks; securing networks against threats

Troubleshooting common cables; connectivity; software issues related to networking

Plan business analysis approach; Plan stakeholder engagement; Plan business analysis governance; Plan business analysis information management; Identify business analysis performance improvements

Prepare for elicitation; Conduct elicitation; Confirm elicitation results; Communicate business analysis information; Manage stakeholder collaboration

Trace requirements; Maintain requirements; Prioritize requirements; Assess requirements changes; Approve requirements

Analyze current state; Define future state; Assess risks; Define change strategy

Specify and model requirements; Verify requirements; Validate requirements; Define requirements architecture; Define design options; Analyze potential value and recommend solution

Measure solution performance; Analyze performance measures; Assess solution limitations; Assess enterprise limitations; Recommend actions to increase solution value