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Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS 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 Deep Learning on AWS 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 5 Days 30 CPD hours This course is intended for This introductory-level Python course is geared for experienced web developers new to Python who want to use Python and Django for full stack web development projects. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Develop full-stack web sites based on content stored in an RDMS Use python data types appropriately Define data models Understand the architecture of a Django-based web site Create Django templates for easy-to-modify views Map views to URLs Take advantage of the built-in Admin interface Provide HTML form processing Geared for experienced web developers new to Python, Introduction to Full Stack Web Development with Python and Django is a five-day hands-on course that teaches students how to develop Web applications using the Django framework. Students will explore the basics of creating basic applications using the MVC (model-view-controller) design pattern, as well as more advanced topics such as administration, session management, authentication, and automated testing. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world. The Python Environment Starting Python Using the interpreter Running a Python script Getting help Editors and IDEs Getting Started Using variables Built in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control Conditional expressions Relational and Boolean operators while loops Lists and Tuples About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Working with Files File overview The with statement Opening a file Reading/writing files Dictionaries and Sets About dictionaries Creating and using dictionaries About sets Creating and using sets Functions Returning values Function parameters Variable Scope Sorting with functions Errors and Exception Handling Exception overview Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages Creating Modules The import statement Module search path Creating packages Classes About OO programming Defining classes Constructors Properties Instance methods and data Class/static methods and data Inheritance Django Architecture Django overview Sites and apps Shared configuration Minimal Django layout Built in flexibility Configuring a Project Executing manage.py Starting the project Generating app files App configuration Database setup The development server Using cookiecutter Creating models Defining models Related objects SQL Migration Simplel model access Login for Nothing and Admin for Free Setting up the admin user Using the admin interface Views What is a view HttpResponse URL route configuration Shortcut: get_object_or_404() Class-based views Templates About templates Variable lookups The url tag Shortcut: render() Querying Models QuerySets Field lookups Chaining filters Slicing QuerySets Related fields Q objects Advanced Templates Use Comments Inheritance Filters Escaping HTML Custom filters Forms Forms overview GET and POST The Form class Processing the form Widgets Validation Forms in templates Automated Testing Why create tests? When to create tests Using Django's test framework Using the test client Running tests Checking code coverage

Duration 3 Days 18 CPD hours This course is intended for Network designers Network managers System engineers Overview After taking this course, you should be able to: Review the Cisco Catalyst 9000 Series Switches identify the switches' features and examine the functionalities purpose-built for Cisco DNA and the SD-Access solution. Position the different Cisco Catalyst 9000 Series Switch model types in the network, and map older Cisco Catalyst switches to the 9000 family for migration. Identify the role and value of Cisco Silicon One in a campus environment. Examine management capabilities of the Cisco Catalyst 9000 Series Switches. Describe the scalability and performance features supported by the Cisco Catalyst 9000 Series Switches. Describe the Cisco Catalyst 9000 Series Switch support for security, Quality of Service (QoS), and Internet of Things (IoT) convergence features. Describe automation features, Application Programming Interface (API), Infrastructure as Code, and automation tools supported on Cisco Catalyst 9000 Series switches. Describe the new QoS, IoT, and BGP EVPN Features on Cisco Catalyst 9000 Series Switches. Describe the maintenance features on Cisco Catalyst 9000 Series switches. Explore the SD-Access solution fundamentals, deployment models for the Cisco Catalyst 9000 Series Switch, and the use of Cisco DNA Center to manage infrastructure devices. Automate Day 0 device onboarding with Cisco DNA Center LAN Automation and Network PnP. Describe how to manage and host applications on Cisco Catalyst 9000 Series switches using Cisco DNA Center. Explore a modern approach to cloud-managed networking for Cisco Catalyst 9000 Series switches and wireless access points that uses the Meraki Dashboard and analytics. Describe the Cisco Catalyst 9200 Series Switch architecture, model types, port types, uplink modules, components including power supplies, and other switch features and capabilities. Describe the Cisco Catalyst 9300 Series Switch architecture, model types, port types, uplink modules, and components, including power supplies and stacking cables. Describe the Cisco Catalyst 9400 Series Switches, different modular chassis, supervisor and line card options, architectural components, uplink, and power redundancy, and Multigigabit ports Describe the Cisco Catalyst 9500 Series Switches, model types, switch components, RFID support, architecture, and switch profiles. Describe the Cisco Catalyst 9600 Series Switch architecture, supervisor and line card options, and high availability features. The Implementing Cisco Catalyst 9000 Series Switches (ENC9K) v4.0 course provides you with insight into Cisco Catalyst 9000 Series Switches and its solution components. You will learn about the architecture, capabilities, positioning, and implementation of the Cisco Catalyst 9000 Series switches, as well as the management of the switches using CLI, Cisco DNA Center, and IOS-XE web user GUI. Additionally, you will be introduced to security, cloud, automation, and other important features of Cisco Catalyst 9000 Series switches. Course Outline Introducing the Cisco Catalyst 9000 Series Switches Positioning Cisco Catalyst 9000 Series Switches Cisco Catalyst Silicon One Architecture Exploring Cisco Catalyst 9000 Series Switches Management Capabilities Scale and Performance Features on Cisco Catalyst 9000 Series Switches Security Features on Cisco Catalyst 9000 Series Switches Automation Features on Cisco Catalyst 9000 Series Switches QoS, IoT, and BGP EVPN Features on Cisco Catalyst 9000 Series Switches Maintenance Features on Cisco Catalyst 9000 Series Switches Cisco SD-Access Solution on Cisco Catalyst 9000 Series Switches Application Hosting on Cisco Catalyst 9000 Series Switches Cloud Management for Catalyst 9000 Series Using Meraki Dashboard Automating Network Changes with Cisco DNA Center Introducing Cisco Catalyst 9200 Series Switches Introducing Cisco Catalyst 9300 Series Switches Introducing Cisco Catalyst 9400 Series Switches Introducing Cisco Catalyst 9500 Series Switches Introducing Cisco Catalyst 9600 Series Switches Additional course details: Nexus Humans Cisco Implementing Cisco Catalyst 9000 Switches v4.0 (ENC9K) 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 Implementing Cisco Catalyst 9000 Switches v4.0 (ENC9K) 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 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 2 Days 12 CPD hours This course is intended for This class is primarily intended for the following participants: Technical employees using GCP, including customer companies, partners and system integrators deployment engineers, cloud architects, cloud administrators, system engineers , and SysOps/DevOps engineers. Individuals using GCP to create, integrate, or modernize solutions using secure, scalable microservices architectures in hybrid environments. Overview Connect and manage Anthos GKE clusters from GCP Console whether clusters are part of Anthos on Google Cloud or Anthos deployed on VMware. Understand how service mesh proxies are installed, configured and managed. Configure centralized logging, monitoring, tracing, and service visualizations wherever the Anthos GKE clusters are hosted. Understand and configure fine-grained traffic management. Use service mesh security features for service-service authentication, user authentication, and policy-based service authorization. Install a multi-service application spanning multiple clusters in a hybrid environment. Understand how services communicate across clusters. Migrate services between clusters. Install Anthos Config Management, use it to enforce policies, and explain how it can be used across multiple clusters. This two-day instructor-led course prepares students to modernize, manage, and observe their applications using Kubernetes whether the application is deployed on-premises or on Google Cloud Platform (GCP). Through presentations, and hands-on labs, participants explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh and Anthos Config Management capabilities that enable operators to work with modern applications even when split among multiple clusters hosted by multiple providers, or on-premises. Anthos Overview Describe challenges of hybrid cloud Discuss modern solutions Describe the Anthos Technology Stack Managing Hybrid Clusters using Kubernetes Engine Understand Anthos GKE hybrid environments, with Admin and User clusters Register and authenticate remote Anthos GKE clusters in GKE Hub View and manage registered clusters, in cloud and on-premises, using GKE Hub View workloads in all clusters from GKE Hub Lab: Managing Hybrid Clusters using Kubernetes Engine Introduction to Service Mesh Understand service mesh, and problems it solves Understand Istio architecture and components Explain Istio on GKE add on and it's lifecycle, vs OSS Istio Understand request network traffic flow in a service mesh Create a GKE cluster, with a service mesh Configure a multi-service application with service mesh Enable external access using an ingress gateway Explain the multi-service example applications: Hipster Shop, and Bookinfo Lab: Installing Open Source Istio on Kubernetes Engine Lab: Installing the Istio on GKE Add-On with Kubernetes Engine Observing Services using Service Mesh Adapters Understand service mesh flexible adapter model Understand service mesh telemetry processing Explain Stackdriver configurations for logging and monitoring Compare telemetry defaults for cloud and on-premises environments Configure and view custom metrics using service mesh View cluster and service metrics with pre-configured dashboards Trace microservice calls with timing data using service mesh adapters Visualize and discover service attributes with service mesh Lab: Telemetry and Observability with Istio Managing Traffic Routing with Service Mesh Understand the service mesh abstract model for traffic management Understand service mesh service discovery and load balancing Review and compare traffic management use cases and configurations Understand ingress configuration using service mesh Visualize traffic routing with live generated requests Configure a service mesh gateway to allow access to services from outside the mesh Apply virtual services and destination rules for version-specific routing Route traffic based on application-layer configuration Shift traffic from one service version to another, with fine-grained control, like a canary deployment Lab: Managing Traffic Routing with Istio and Envoy Managing Policies and Security with Service Mesh Understand authentication and authorization in service mesh Explain mTLS flow for service to service communication Adopt mutual TLS authentication across the service mesh incrementally Enable end-user authentication for the frontend service Use service mesh access control policies to secure access to the frontend service Lab: Managing Policies and Security with Service Mesh Managing Policies using Anthos Config Management Understand the challenge of managing resources across multiple clusters Understand how a Git repository is as a configuration source of truth Explain the Anthos Config Management components, and object lifecycle Install and configure Anthos Config Management, operators, tools, and related Git repository Verify cluster configuration compliance and drift management Update workload configuration using repo changes Lab: Managing Policies in Kubernetes Engine using Anthos Config Configuring Anthos GKE for Multi-Cluster Operation Understand how multiple clusters work together using DNS, root CA, and service discovery Explain service mesh control-plane architectures for multi-cluster Configure a multi-service application using service mesh across multiple clusters with multiple control-planes Configure a multi-service application using service mesh across multiple clusters with a shared control-plane Configure service naming/discovery between clusters Review ServiceEntries for cross-cluster service discovery Migrate workload from a remote cluster to an Anthos GKE cluster Lab: Configuring GKE for Multi-Cluster Operation with Istio Lab: Configuring GKE for Shared Control Plane Multi-Cluster Operation

Duration 5 Days 30 CPD hours This course is intended for This course benefits individuals responsible for configuring and monitoring devices running the Junos OS. Overview After successfully completing this course, you should be able to: Describe the various OSPF link-state advertisement (LSA) types. Explain the flooding of LSAs in an OSPF network. Describe the shortest-path-first (SPF) algorithm. Describe OSPF link metrics. Describe the various OSPF authentication methods. Explain the differences between OSPFv2 and OSPFv3. Describe OSPF area types and operations. Configure various OSPF area types. Summarize and restrict routes. Configure OSPF multi-area adjacencies. Configure OSPF virtual links. Explain OSPF external reachability. List useful commands that are used to troubleshoot and verify OSPF. Isolate different OSPF issues. Describe BGP operations. Configure various BGP options. Explain the route selection process for BGP. Describe how to alter the route selection process. Explain the use of routing policies in BGP. Explain how BGP routes are processed. Describe the various BGP attributes and their use. Manipulate common BGP attributes. Review common BGP troubleshooting procedures. List common BGP troubleshooting commands. Identify issues with BGP peering. Explain reasons to use BGP in the Enterprise. Explain how ISP policies can influence external connectivity. Describe three common routing policies for external connectivity in the enterprise. Identify common commands for troubleshooting routing policy. Describe basic multicast terminology. Describe the multicast address space. Describe how RPF is used in a multicast network. Describe the basic functionality of IGMP. Describe the multicast service models and modes. Describe PIM-SM operation and configuration when using the ASM model. Describe PIM-SM operation and configuration when using the SSM model. Verify and troubleshoot multicast. Identify environments that may require a modified CoS implementation. Describe the various CoS components and their respective functions. Explain the CoS processing along with CoS defaults on SRX Series devices. Describe situations in which some CoS features are used in the enterprise. Describe the use of the Real-Time Performance Monitoring tool. Verify and troubleshoot CoS. Describe a traditional Campus network design. Understand the need for a new architectural design. Describe the five key concepts of the Evolved Core. Describe the benefits of a Layer 3-based Campus Networks. Describe Layer 2 tunneling. Explain VXLAN functionality. Describe VXLAN gateways. Describe EVPN features. Describe EVPN operations. This five-day course is designed to provide students with the tools required for implementing, monitoring, and troubleshooting Layer 3 components in an enterprise network. Chapter 1: Course Introduction Course Introduction Chapter 2: OSPF OSPFv2 Review Link-State Advertisements Protocol Operations OSPF Authentication OSPFv3 Lab 1: Configuring and Monitoring OSPF Chapter 3: OSPF Areas Review of OSPF Areas Stub Area Operation Stub Area Configuration NSSA Operation NSSA Configuration Route Summarization Lab 2: Configuring and Monitoring OSPF Areas and Route Summarization Chapter 4: Advanced OSPF Options OSPF Multi-Area Adjacencies Virtual Links External Reachability Lab 3: Configuring and Monitoring Routing Policy and Advanced OSPF Options Chapter 5: Troubleshooting Troubleshooting LSDB Consistency Issues Case Study: Adjacency Issues Lab: Troubleshooting OSPF Chapter 6: BGP Review of BGP BGP Configuration Options BGP Operations BGP Path Selection and Options Lab: Implementing BGP Chapter 7: BGP Attributes and Policy Policy and BGP BGP Attributes Details and Manipulation of Common BGP Path Attributes Lab: BGP Attributes Chapter 8: Troubleshooting BGP BGP Troubleshooting BGP Case Study Lab: Troubleshooting BGP Chapter 9: Enterprise Routing Policies Enterprise BGP Core Network Design Enterprise External Network Deployment Lab: Implementing Enterprise Routing Policies Chapter 10: Troubleshooting Policies Routing Policy Structure Using RegEx Routing Policy Troubleshooting Case Study Lab: Troubleshooting Routing Policies Chapter 11: Introduction to Multicast Overview of Multicast Multicast Addressing RPF IGMP Lab: PIM-SM Chapter 12: Multicast Routing Protocols and SSM Overview of Multicast Routing Protocols PIM-SM Using the ASM Model PIM-SM Using the SSM Model Lab: Implementing PIM-SM Lab: Implementing SSM Chapter 13: Troubleshooting Multicast Multicast Troubleshooting Multicast Case Study Lab: Troubleshooting Multicast Chapter 14: Class of Service CoS Components Review and Case Study CoS Processing and CoS Defaults on the SRX Series Device Policing Virtual Channels Monitoring with Resource Performance Monitoring Lab 9: Implementing CoS Features in the Enterprise Chapter 15: Troubleshooting Class of Service CoS Troubleshooting CoS Case Study Lab: Troubleshooting Class of Service Chapter 16: Enterprise Architectures Traditional Enterprise Networks A New Architecture Key Concepts of the Evolved Core IP Fabric Campus Design Chapter 17: VXLAN Layer 2 Connectivity over a Layer 3 Network VXLAN Overview VXLAN Gateways Chapter 18: EVPN-VXLAN Overview of EVPN EVPN Operations EVPN and VXLAN Chapter 19: Configuring EVPN-VXLAN Configuring EVPN-VXLAN Spine Only network Add IP Fabric leaf nodes to a Spine Only design Configuring a new IP Fabric EVPN-VXLAN network Chapter 20: Migrating to an IP Fabric EVPN Routes Useful EVPN Commands Appendix A: BGP Route Reflection Route Reflection Operation Configuration and Routing Knowledge Lab: BGP Route Reflection (Optional) Appendix B: Troubleshooting IS-IS IS-IS Troubleshooting Lab: Troubleshooting IS-IS and Mixed Environments Additional course details: Nexus Humans AJER - Advanced Junos Enterprise Routing 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 AJER - Advanced Junos Enterprise Routing 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 2 Days 12 CPD hours This course is intended for This course is intended for intermediate business and requirements analysts who are looking to improve their business case development and presentation skills. This course is also a great fit for project managers and product owners who work closely with business analysts or who perform some form of business case work themselves. Overview Understand the role of the business analyst within the business case process Understand the main professional associations and standards that support business analysts in the industry Discuss the benefits of business case creation Explore how to define the business need Describe the role of the business analyst in supporting the enterprise to determine how to optimally invest in the right project initiatives Explain how to identify stakeholders and the significance to the pre-project activities Discuss the importance of analyzing the enterprise Describe and explore the activities performed to assess the current business environment Explain how a business analyst describes a ?future? state environment including how to identify gaps in enterprise capabilities Present and explore how to define the scope of a solution Describe the activities performed and techniques used to determine viable solution options Explore various techniques for evaluating solution options including feasibility and risk analysis Thoroughly understand the purpose of conducting a feasibility assessment Discuss and practice a number of business analysis techniques that support the business case process Explore the components of a business case Describe how the business case supports decision makers in making go/no-go decisions Demonstrate how to assemble the output from pre-project activities into a well-structured business case Present techniques for presenting business cases to top level managers and obtaining buy-in Discuss methods for preparing for challenges during business case delivery Students learn the steps to effective business case development and support your strategic business recommendations with sound budgeting and financial back-up. The one course you need to make high-impact recommendations and receive full management support for your ideas. Introduction Module Learning Objectives What is Business Analysis Polling Question International Institute of Business Analysis BABOK© Guide Components Project Management Institute Business Analysis for Practitioners: A Practice Guide BABOK© Guide Knowledge Areas Benefits of Business Analysis Polling Question A Business Analyst can Influence Project Success Factors Challenges of Business Analysis Polling Question Purpose of a Business Case Exercise 1a: What Should a Business Case Include Define the Business Case Elements What to Look Out For Who is Involved Exercise 1b: Review Business Case Outline Module Learning Objectives Pre-Project Activities & the Business Analyst Module Learning Objectives The Definition of a Business Analyst The Role of a Business Analyst Responsibilities of a BA BA Role vs. PM Role Business Analysis vs. Systems Analysis Business Analysis Competencies Polling Question Business Analyst Role and Stakeholders Exercise 2a: Review the Case Study What is a Stakeholder? The Importance of Stakeholders Stakeholder Identification Tips for Identifying Stakeholders Other Stakeholder Tips Stakeholder Identification/Analysis Exercise 2b: Identify Roles and Responsibilities Stakeholder Map Stakeholder Matrix & Onion Diagrams A Stakeholder Map Onion Diagram Exercise 2c: Why do we Need to Understand the Enterprise? Why Study the Enterprise? What is Enterprise Architecture? What is Strategy Analysis? About Strategy Analysis Purpose of Strategy Analysis When to Perform Strategy Analysis Strategic Planning Module Summary The Needs Assessment Process Module Learning Objectives Business Need Defined Define Business Need The Needs Assessment Process Problem or Opportunity Exercise 3a: Problem/Opportunity Identification Understanding Why Situation Statements Business Need and Current State Determine the Stakeholders Polling Question Goals and Objectives Polling Question Exercise 3b: Give 3 Examples of Business Goals Define Business Need Techniques Exercise 3c: Identify the Business Need Definition of Strategy Analysis When Business Strategy is not Driving Project Definition Typical Project Profile The Executive Paradox Solution to the Paradox Exercise 3d: Describe 3 Outcomes You Would Expect from the Case Study The Four ?Ares? Understand How to Create a Business Model Business Model Example Exercise 3e: Create a Business Model The Business Case Approach Financial and Strategic Measurement Tools Module Summary Determining the Required Capabilities & Defining Solution Scope Module Learning Objectives Business Need and Current State Purpose of Analyzing the Current State Analyzing Current Capabilities and Process Capabilities Defined Techniques for Analyzing the Current State Define the Future State Techniques for Defining the Future State Assess Capability Gaps Stakeholders Involved when Reviewing Capability Gaps Discussion: Assessing New Capabilities Defining Solution Scope Determining Scope Boundary How to Define Solution Scope Defining Solution Scope Project Scope and Product Scope Scope Modeling Techniques Used to Define Scope Define Scope Boundaries Modeling Scope: Context Diagram Exercise 4a: Create a Context Diagram from the Case Study Communicating Solution Scope to Stakeholders Stakeholders Participating in Scope Activities Exercise 4b: Discuss Managing Expectations Module Summary Assessing Feasibility & Proposing Solution Options Module Learning Objectives Financial Analysis Purpose of Financial Analysis Costs versus Benefits Financial Models Timing for Assessing Financial Benefits Risk Assessing Risks Risk Process Exercise 5a: Identifying Risks Risk Analysis Capturing and Categorizing Risks Risk Strategies Tolerance for Risk Determining Solution Options Solution Option Process Determining and Analyzing Solution Options Brainstorming Conducting an Outcomes Focused Brainstorming Session Stakeholders Involved in Determining Solution Options Exercise 5b: Determining Solution Options Feasibility Analysis Discussion: Ranking Solution Options Discussion: Recommending the Most Viable Option Exercise 5c: Assess the Most Viable Options Solution Approach Definition Exercise 5d: Review the Business Case Templates Module Summary Packaging & Presenting the Business Case Module Learning Objectives Circumventing a Business Case Documenting the Business Case Value of the Business Case Process Business Case Components Business Case Techniques Build a Convincing Business Case Discussion: Identifying Decision Criteria Exercise 6a: Supporting a Go/No Go Decision Packaging the Business Case Planning Business Case Delivery Discussion: Planning Stakeholder Buy-in Information and Communication Needs in the Business Case Process Presenting your Business Case Exercise 6b: Anticipating and Responding to Challenges Module Summary Course Wrap Up Course Summary Questions Additional Resources Thank You Additional course details: Nexus Humans BA03 - Writing Effective Business Cases 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 BA03 - Writing Effective Business Cases 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 1 Days 6 CPD hours This course is intended for This course provides an introductory overview of the CMMC program for organizational decision makers. Business and IT leaders and IT staff might consider taking this course to learn about the CMMC Model to get a sense of what's required for a successful assessment, and the various ways they can start preparing. Overview In this course, you will identify the key elements and potential impacts of the Cybersecurity Maturity Model Certification (CMMC) program. You will: Identify the crucial elements that are driving the CMMC initiative. Describe the architecture of the CMMC Model and the rationale behind it. Prepare your organization for a successful CMMC Assessment. Identify the roles and responsibilities in the CMMC ecosystem and describe the phases of an Assessment. The Cybersecurity Maturity Model Certification (CMMC), managed by The Cyber AB (formerly known as the CMMC Accreditation Body or the CMMC-AB), is a program through which an organization's cybersecurity program maturity is measured by their initial and ongoing compliance with applicable cybersecurity practices. This course provides a complete review of the key elements of this important program and will entitle you to a CMMC Trailblazer badge.Important: This curriculum product is not considered CMMC-AB Approved Training Material (CATM). This course is not intended as certification preparation and does not qualify students to sit for the CMMC CP certification exam. Identifying What's at Stake Topic A: Identify the Threats and Regulatory Responses Topic B: Identify Sensitive Information Describing CMMC Topic A: Describe the CMMC Model Architecture Topic B: Describe the CMMC Program Getting Ready for a CMMC Assessment Topic A: Scope Your Environment Topic B: Analyze the CMMC Assessment Guides Topic C: Foster a Mature Cybersecurity Culture Topic D: Identify Helpful Documents Topic E: Evaluate Your Readiness Interacting with the CMMC Ecosystem Topic A: Identify the CMMC Ecosystem Topic B: Describe a CMMC Assessment

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at developers who want to build web applications using ASP.NET Core or developers who want to make a career building web applications using Microsoft technology. In the web world, the ability to build robust web applications is key. With the knowledge about ASP.NET Core MVC (that makes use of the Model-View-Controller architecture) that you will take away from this course, you will be prepared to meet this need. In today's age, it's important for you as a developer to possess the ability to separate the programming and business logic. This course covering ASP.NET Core 2 will help you develop this skillset. Setting the Stage Introduction to Web Applications Creating ASP.NET Core application Controllers Role of the Controller in ASP.NET MVC Applications Introduction to Routing Our First Controller Implementing our own IActionResult Adding Views Adding Models Passing Data from the Controller to the View Filters Writing a Custom Filter Views The View Engine and the Razor View Engine Working with Layout Generating HTML Partial View View Components Tag Helpers Models Introduction to Models Model Binding The Entity Framework Using the Entity Framework in ASP.NET MVC applications Database Migration Validation Introduction to Validation Client-Side and Server-Side Validation Server-side Validation Client-side Validation Implementation Routing Convention-Based Routing Attribute-Based Routing Route Attribute at the Controller Level Passing Routing Values in HTTP Action Verbs in the Controller Route Constraints Rest Buy Designing Rest Buy Creating the Entities for the Application Creating EF Context and Migration Adding Features, Testing, and Deployment Adding the Registration Feature Creating a Unit Test Upgrading Our Application to Bootstrap 4 Deploying Rest Buy to Azure Additional course details: Nexus Humans Beginning ASP.NET 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 Beginning ASP.NET 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.