2908 Development courses in Belfast delivered Live Online

Affordable housing has become a hot topic for Wall Street investors, politicians, and the general public. In this introductory webinar, we look at what is affordable housing, and review how investment firms are taking advantage of opportunities in the affordable housing market. Secondly, we will review the differences and similarities of the U.K. and U.S. affordable housing markets. Finally, we analyse current policies and trends in the affordable housing market and discuss potential future developments in this sector.

This is an essential programme for managers or members of staff (or students) who need to be able to read and summarise information on screen faster and more effectively. The session focuses on the different types of reading style and encourages better retention of written material through the use of specific speed-reading techniques. By the end of this programme participants will be able to: Explain the principles of speed reading Understand the barriers to reading Use different reading styles according to the information being read Read more effectively from tablet and computer screens Co-ordinate eye movements better Minimise any poor reading habits Increase reading speed by over 50%, without losing comprehension Improve retention of information using specific techniques The programme focuses on how to maximise reading from electronic devices by exploring techniques which will reduce eyestrain and improve reading effectiveness. The session also explains different types of reading styles and how to learn new, positive reading habits. 1 An introduction to speed reading The history of speed reading Assumptions about reading The process of reading Schema and its influence on interpretation Eye/brain relationship How our brain processes written information 2 Minimising barriers to reading Understanding eye tics Mouthing The influence of different light sources Body clocks and making use of natural patterns 3 Reading styles Importance of choosing the right reading style Speeds and their influence on retention Reading for pleasure Proof reading Scanning Skimming Reading for retention SQRW principles 4 Reading from electronic devices The challenge of reading from screens Importance of breaks and proper display screen evaluation Calibrating screens and background colours Formatting documents Using eye guides

Learn the basics of financial awareness and better understand the language used by accountants and how financial statements fit together within organisations. Course overview Duration: 2 days (13 hours)  This workshop will provide participants with a grasp of basic financial awareness, to help them to better understand the language used by accountants and how financial statements fit together. Training is done in a jargon-free way that is aimed building attendees’ confidence in using financial terms and concepts within their organisation.  Competent financial management has many aspects, it is wide reaching and requires multiple skills but if participants work to become organised and effective in planning, these skills can be easily acquired. There is a misconception that to be a good operational manager dealing with financial decisions people must be accounting or numerical geniuses. There are basic skills that attendees can easily learn that will support them in those areas.  Objectives  By the end of the course you will be able to: Identify the importance of financial management and its impact Identify the link between financial information and decision making Set, manage, monitor and review budgets Analyse financial statements Demonstrate the link between the statements, budgets and decision making. Content Financial Management Budgeting process (generic / client specific if possible) Forecasting and re forecasting process The need for accurate forecasting Accrual v cash accounting revisited Financial Objectives of the business Users of the accounts Financial Tools Depreciation and Amortisation Accruals and Prepayments Deferred and Accrued Income Costs, Opex and Capex Financial Statements The Income Statement The Balance Sheet Understanding capital employed The relationship between balance sheet and income statement The cash flow statement Profitability: gross, operating and net margins Review of client’s management information reports Building the Business Case Break even analysis Discounted Cash Flow Discount factors Net Present Value (NPV) Internal Rate of Return (IRR)

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Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Individuals planning to deploy applications and create application environments on Google Cloud Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview This course teaches participants the following skills: Identify Google Cloud counterparts for AWS IaaS, AWS PaaS, AWS SQL, AWS Blob Storage, AWS Application Insights, and AWS Data Lake Configure accounts, billing, projects, networks, subnets, firewalls, VMs, disks, auto scaling, load balancing, storage, databases, IAM, and more Manage and monitor applications Explain feature and pricing model differences This course with labs introduces AWS professionals to the core capabilities of Google Cloud Platform (GCP) in the four technology pillars: networking, compute, storage, and database. It is designed for AWS Solution Architects and SysOps Administrators familiar with AWS features and setup and want to gain experience configuring GCP products immediately. With presentations, demos, and hands-on labs, participants will get details of similarities, differences, and initial how-tos quickly. Introducing Google Cloud Explain the advantages of Google Cloud. Define the components of Google's network infrastructure,including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) Getting Started with Google Cloud Identify the purpose of projects on Google Cloud Platform. Understand how AWS?s resource hierarchy differs from Google Cloud?s. Understand the purpose of and use cases for Identity and Access Management. Understand how AWS IAM differs from Google Cloud IAM. List the methods of interacting with Google Cloud Platform. Launch a solution using Cloud Marketplace. Virtual Machines in the Cloud Identify the purpose and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Understand how Amazon VPC differs from Google VPC. Understand the similarities and differences between Amazon EC2 and Google Compute Engine. Understand how typical approaches to load-balancing in Google Cloud differ from those in AWS. Deploy applications using Google Compute Engine. Storage in the Cloud Understand the purpose of and use cases for: Cloud Storage,Cloud SQL, Cloud Bigtable and Cloud Datastore. Understand how Amazon S3 and Amazon Glacier compare to Cloud Storage. Compare Google Cloud?s managed database services with Amazon RDS and Amazon Aurora. Learn how to choose among the various storage options on Google Cloud Platform. Load data from Cloud Storage into BigQuery. Perform a query on the data in BigQuery. Containers in the Cloud Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Understand how Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS) differ from GKE. Provision a Kubernetes cluster using Kubernetes Engine. Deploy and manage Docker containers using kubectl Applications in the Cloud Understand the purpose of and use cases for Google App Engine. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand how App Engine differs from Amazon Elastic Beanstalk. Understand the purpose of and use cases for Google Cloud Endpoints. Developing, Deploying and Monitoring in the Cloud Understand options for software developers to host their source code. Understand the purpose of template-based creation and management of resources. Understand how Cloud Deployment Manager differs from AWS CloudFormation. Understand the purpose of integrated monitoring, alerting, and debugging. Understand how Google Monitoring differs from Amazon CloudWatch and AWS CloudTrail. Create a Deployment Manager deployment. Update a Deployment Manager deployment. View the load on a VM instance using Google Monitoring. Big Data and Machine Learning in the Cloud Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Understand how Google Cloud BigQuery differs from AWS Data Lake. Understand how Google Cloud Pub/Sub differs from AWS Event Hubs and Service Bus. Understand how Google Cloud?s machine-learning APIs differ from AWS's. Load data into BigQuery from Cloud Storage. Perform queries using BigQuery to gain insight into data. Summary and Review Review the products that make up Google Cloud and remember how to choose among them Understand next steps for training and certification Understand, at a high level, the process of migrating from AWS to Google Cloud. Additional course details: Nexus Humans Google Cloud Fundamentals for AWS Professionals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Google Cloud Fundamentals for AWS Professionals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is open to engineers, administrators, and security-minded users of public, private, and hybrid cloud infrastructures responsible for implementing security in cloud environments: Security architects Cloud architects Security engineers Cloud engineers System engineers Cisco integrators and partners Overview After taking this course, you should be able to: Contrast the various cloud service and deployment models. Implement the Cisco Security Solution for SaaS using Cisco Cloudlock Micro Services. Deploy cloud security solutions using Cisco AMP for Endpoints, Cisco Umbrella, and Cisco Cloud Email Security. Define Cisco cloud security solutions for protection and visibility using Cisco virtual appliances and Cisco Stealthwatch Cloud. Describe the network as a sensor and enforcer using Cisco Identity Services Engine (ISE), Cisco Stealthwatch Enterprise, and Cisco TrustSec. Implement Cisco Firepower NGFW Virtual (NGFWv) and Cisco Stealthwatch Cloud to provide protection and visibility in AWS environments. Explain how to protect the cloud management infrastructure by using specific examples, defined best practices, and AWS reporting capabilities. This course shows you how to implement Cisco© cloud security solutions to secure access to the cloud, workloads in the cloud, and software as a service (SaaS) user accounts, applications, and data. This course covers usage of Cisco Cloudlock, Cisco Umbrella?, Cisco Cloud Email Security, Cisco Advanced Malware Protection (AMP) for Endpoints, Cisco Stealthwatch© Cloud and Enterprise, Cisco Firepower© NGFW (next-generation firewall), and more. Introducing the Cloud and Cloud Security Describe the Evolution of Cloud Computing Explain the Cloud Service Models Explore the Security Responsibilities Within the Infrastructure as a Service (IaaS) Service Model Explore the Security Responsibilities Within the Platform as a Service (PaaS) Service Model Explore the Security Responsibilities Within the SaaS Service Model Describe Cloud Deployment Models Describe Cloud Security Basics Implementing the Cisco Security Solution for SaaS Access Control Explore Security Challenges for Customers Using SaaS Describe User and Entity Behavior Analytics, Data Loss Prevention (DLP), and Apps Firewall Describe Cloud Access Security Broker (CASB) Describe Cisco CloudLock as the CASB Describe OAuth and OAuth Attacks Deploying Cisco Cloud-Based Security Solutions for Endpoints and Content Security Describe Cisco Cloud Security Solutions for Endpoints Describe AMP for Endpoints Architecture Describe Cisco Umbrella Describe Cisco Cloud Email Security Design Comprehensive Endpoint Security Introducing Cisco Security Solutions for Cloud Protection and Visibility Describe Network Function Virtualization (NFV) Describe Cisco Secure Architectures for Enterprises (Cisco SAFE) Describe Cisco NGFWv/Cisco Firepower Management Center Virtual Describe Cisco ASAv Describe Cisco Services Router 1000V Describe Cisco Stealthwatch Cloud Describe Cisco Tetration Cloud Zero-Trust Model Describing the Network as the Sensor and Enforcer Describe Cisco Stealthwatch Enterprise Describe Cisco ISE Functions and Personas Describe Cisco TrustSec Describe Cisco Stealthwatch and Cisco ISE Integration Describe Cisco Encrypted Traffic Analytics (ETA) Implementing Cisco Security Solutions in AWS Explain AWS Security Offerings Describe AWS Elastic Compute Cloud (EC2) and Virtual Private Cloud (VPC) Discover Cisco Security Solutions in AWS Explain Cisco Stealthwatch Cloud in AWS Describing Cloud Security Management Describe Cloud Management and APIs Explain API Protection Illustrate an API Example: Integrate to ISE Using pxGrid Identify SecDevOps Best Practices Illustrate a Cisco Cloud Security Management Tool Example: Cisco Defense Orchestrator Illustrate a Cisco Cloud Security Management Tool Example: Cisco CloudCenter? Describe Cisco Application Centric Infrastructure (ACI) Describe AWS Reporting Tools Additional course details: Nexus Humans Cisco Securing Cloud Deployments with Cisco Technologies v1.0 (SECCLD) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Securing Cloud Deployments with Cisco Technologies v1.0 (SECCLD) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is ideal for developers, engineers, and others including: Cloud administrators Cloud solution architects Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview After you complete this course the learner will be able to meet these overall objectives: Describe the Cisco CloudCenter solution, architecture, and features Discover the enterprise-class security solution for IT organizations and cloud service providers Discover how the CloudCenter Suite adapters can be leveraged to build custom integrations with a variety of enterprise platforms and services Discover the integrations and APIs that can be performed from Action Orchestrator CLDAO, Mulitcloud Automation and Orchestration with Cisco CloudCenter Suite is a 3-day course that teaches you how to configure simplified orchestration and workflow automation that provides seamless integration within the Cisco© CloudCenter suite. Through lessons and hands-on experiences, you will learn to use the tools of the CloudCenter Suite to streamline business processes, automate tasks, and increase efficiency in business processes.This course will help you:Acquire the advanced skills and techniques using the primary modules of workload manager, cost optimizer and action orchestrator for consistent experiences across all business environmentsLearn how to design and deploy applications that are delivered consistently and reliably across private and public clouds Introducing Cisco CloudCenter Suite Action Orchestrator Cisco CloudCenter Suite Architecture Defining Action Orchestrator User Management and Security Considerations Cisco CloudCenter Suite User Management and Security Defining Cisco CloudCenter Suite Action Orchestrator Adapters Action Orchestrator Adapter Creation Examining Action Orchestrator Integrations and Supported APIs Cisco CloudCenter Suite Action Orchestrator APIs Additional course details: Nexus Humans Cisco Multicloud Automation and Orchestration with Cisco CloudCenter Suite (CLDAO) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Multicloud Automation and Orchestration with Cisco CloudCenter Suite (CLDAO) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for Security Engineers Security Administrators Security Operations Specialists Security Analysts Network Engineers Overview Successful completion of this four-day, instructor-led course will help enhance your understanding of how to better protect your applications, remote networks, and mobile users using a SASE implementation. You will get hands-on experience configuring, managing, and troubleshooting Prisma Access in a lab environment. The Prisma Access SASE Security: Design and Operation (EDU-318) course describes Prisma Access Secure Access Service Edge (SASE) and how it helps organizations embrace cloud and mobility by providing network and network security services from the cloud. This course is intended for people in the fields of public cloud security and cybersecurity, or for anyone who wants to learn how to secure remote networks and mobile users. Course Outline 1 - Prisma Access Overview and Definitions 2 - Planning and Design Architecture 3 - Routing SD-WAN Design and CloudGenix 4 - Activate and Configure Service Connections 5 - Rule Enforcement in Prisma Access and SSL Decrypt 6 - Panorama Operations for Prisma Access and Fawkes Overview 7 - Remote Networks 8 - Mobile Users 9- Cloud Secure Web Gateway 10 - Tune, Optimize and Troubleshoot 11 - Manage Multiple Tenants 12 - What?s New in v2.1 13 - Next Steps Additional course details: Nexus Humans Palo Alto Networks: Prisma Access SASE Security: Design and Operation EDU-318 (3.2) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Palo Alto Networks: Prisma Access SASE Security: Design and Operation EDU-318 (3.2) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is intended for security and network administrators who will be responsible for the installation, deployment, tuning, and day-to-day maintenance of the F5 Advanced Web Application Firewall. In this 4 day course, students are provided with a functional understanding of how to deploy, tune, and operate F5 Advanced Web Application Firewall to protect their web applications from HTTP-based attacks. The course includes lecture, hands-on labs, and discussion about different F5 Advanced Web Application Firewall tools for detecting and mitigating threats from multiple attack vectors such web scraping, Layer 7 Denial of Service, brute force, bots, code injection, and zero day exploits. Module 1: Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Archiving the BIG-IP System Configuration Leveraging F5 Support Resources and Tools Module 2: Traffic Processing with BIG-IP Identifying BIG-IP Traffic Processing Objects Overview of Network Packet Flow Understanding Profiles Overview of Local Traffic Policies Visualizing the HTTP Request Flow Module 3: Web Application Concepts Overview of Web Application Request Processing Web Application Firewall: Layer 7 Protection F5 Advanced WAF Layer 7 Security Checks Overview of Web Communication Elements Overview of the HTTP Request Structure Examining HTTP Responses How F5 Advanced WAF Parses File Types, URLs, and Parameters Using the Fiddler HTTP Proxy Module 4: Common Web Application Vulnerabilities A Taxonomy of Attacks: The Threat Landscape What Elements of Application Delivery are Targeted? Common Exploits Against Web Applications Module 5: Security Policy Deployment Defining Learning Comparing Positive and Negative Security Models The Deployment Workflow Policy Type: How Will the Policy Be Applied Policy Template: Determines the Level of Protection Policy Templates: Automatic or Manual Policy Building Assigning Policy to Virtual Server Deployment Workflow: Using Advanced Settings Selecting the Enforcement Mode The Importance of Application Language Configure Server Technologies Verify Attack Signature Staging Viewing Requests Security Checks Offered by Rapid Deployment Defining Attack Signatures Using Data Guard to Check Responses Module 6: Policy Tuning and Violations Post-Deployment Traffic Processing Defining Violations Defining False Positives How Violations are Categorized Violation Rating: A Threat Scale Defining Staging and Enforcement Defining Enforcement Mode Defining the Enforcement Readiness Period Reviewing the Definition of Learning Defining Learning Suggestions Choosing Automatic or Manual Learning Defining the Learn, Alarm and Block Settings Interpreting the Enforcement Readiness Summary Configuring the Blocking Response Page Module 7: Attack Signatures & Threat Campaigns Defining Attack Signatures Attack Signature Basics Creating User-Defined Attack Signatures Defining Simple and Advanced Edit Modes Defining Attack Signature Sets Defining Attack Signature Pools Understanding Attack Signatures and Staging Updating Attack Signatures Defining Threat Campaigns Deploying Threat Campaigns Module 8: Positive Security Policy Building Defining and Learning Security Policy Components Defining the Wildcard Defining the Entity Lifecycle Choosing the Learning Scheme How to Learn: Never (Wildcard Only) How to Learn: Always How to Learn: Selective Reviewing the Enforcement Readiness Period: Entities Viewing Learning Suggestions and Staging Status Violations Without Learning Suggestions Defining the Learning Score Defining Trusted and Untrusted IP Addresses How to Learn: Compact Module 9: Cookies and Other Headers F5 Advanced WAF Cookies: What to Enforce Defining Allowed and Enforced Cookies Configuring Security Processing on HTTP headers Module 10: Reporting and Logging Overview: Big Picture Data Reporting: Build Your Own View Reporting: Chart based on filters Brute Force and Web Scraping Statistics Viewing F5 Advanced WAF Resource Reports PCI Compliance: PCI-DSS 3.0 The Attack Expert System Viewing Traffic Learning Graphs Local Logging Facilities and Destinations How to Enable Local Logging of Security Events Viewing Logs in the Configuration Utility Exporting Requests Logging Profiles: Build What You Need Configuring Response Logging Module 11: Lab Project 1 Lab Project 1 Module 12: Advanced Parameter Handling Defining Parameter Types Defining Static Parameters Defining Dynamic Parameters Defining Dynamic Parameter Extraction Properties Defining Parameter Levels Other Parameter Considerations Module 13: Automatic Policy Building Overview of Automatic Policy Building Defining Templates Which Automate Learning Defining Policy Loosening Defining Policy Tightening Defining Learning Speed: Traffic Sampling Defining Track Site Changes Lesson 14: Web Application Vulnerability Scanner Integration Integrating Scanner Output Importing Vulnerabilities Resolving Vulnerabilities Using the Generic XML Scanner XSD file Lesson 15: Deploying Layered Policies Defining a Parent Policy Defining Inheritance Parent Policy Deployment Use Cases Lesson 16: Login Enforcement and Brute Force Mitigation Defining Login Pages for Flow Control Configuring Automatic Detection of Login Pages Defining Session Tracking Brute Force Protection Configuration Source-Based Brute Force Mitigations Defining Credentials Stuffing Mitigating Credentials Stuffing Lesson 17: Reconnaissance with Session Tracking Defining Session Tracking Configuring Actions Upon Violation Detection Lesson 18: Layer 7 DoS Mitigation Defining Denial of Service Attacks Defining the DoS Protection Profile Overview of TPS-based DoS Protection Creating a DoS Logging Profile Applying TPS Mitigations Defining Behavioral and Stress-Based Detection Lesson 19: Advanced Bot Protection Classifying Clients with the Bot Defense Profile Defining Bot Signatures Defining Proactive Bot Defense Defining Behavioral and Stress-Based Detection Defining Behavioral DoS Mitigation Lesson 20: Form Encryption using DataSafe Targeting Elements of Application Delivery Exploiting the Document Object Model Protecting Applications Using DataSafe The Order of Operations for URL Classification Lesson 21: Review and Final Labs Review and Final Labs