SAFe® Advanced Scrum Master: In-House Training Prepare to step into a SAFe® leadership role and learn how to facilitate Agile team, program, and enterprise success by becoming a SAFe® 5 Advanced Scrum Master (SASM). This course prepares current Scrum Masters for their leadership role in facilitating Agile team, program, and enterprise success in a SAFe® implementation. Explore facilitation of cross-team interactions in support of program execution and relentless improvement. Expand the Scrum paradigm with an introduction to scalable engineering and DevOps practices, the application of Kanban to facilitate the flow of value, and supporting interactions with architects, product management, and other critical stakeholders. Learn actionable tools for building high-performing teams and explore practical ways of addressing Agile and Scrum anti-patterns in the enterprise. What you will Learn To perform the role of a SAFe® Advanced Scrum Master, you should be able to: Apply SAFe® principles to facilitation, enablement, and coaching in a multi-team environment Build a high-performing team and foster relentless improvement at scale Address Agile and Scrum anti-patterns Support the adoption of engineering practices, DevOps, and Agile architecture Learn to apply Kanban and Extreme Programming (XP) frameworks to optimize flow and improve the team's work Facilitate program planning, execution, and delivery of end-to-end systems value Support learning through participation in communities of practice and innovation cycles Exploring the Scrum Master role in the SAFe® enterprise Applying SAFe® Principles: A Scrum Master's perspective Exploring Agile and Scrum anti-patterns Facilitating program execution Improving flow with Kanban and XP Building high-performing teams Improving program performance with Inspect and Adapt
SAFe® Scrum Master: Virtual In-House Training Build your skills as a high-performing team member of an Agile Release Train (ART) and prepare to support the facilitation of team and program events when you become a SAFe® 5 Scrum Master (SSM). In this course, you'll gain an understanding of the role of Scrum Master in a SAFe® enterprise. Unlike traditional Scrum Master training that focuses on the fundamentals of team-level Scrum, the SAFe® Scrum Master course explores the role of the Scrum Master in the context of the entire enterprise and prepares you to successfully plan and execute the Program Increment (PI), the primary enabler of alignment throughout all levels of a SAFe® organization. What you will Learn To perform the role of a SAFe® Scrum Master, attendees should be able to: Describe Scrum in a SAFe® enterprise Facilitate Scrum events Facilitate effective Iteration execution Support effective Program Increment execution Support relentless improvement Coach Agile teams for maximum business results Support DevOps implementation Build a high-performing ART by becoming a servant leader and coach Develop an action plan to continue your learning journey Introducing Scrum in SAFe® Characterizing the role of the Scrum Master Experiencing Program Increment planning Facilitating Iteration execution Finishing the Program Increment Coaching the Agile team
SAFe® Advanced Scrum Master: Virtual In-House Training Prepare to step into a SAFe® leadership role and learn how to facilitate Agile team, program, and enterprise success by becoming a SAFe® 5 Advanced Scrum Master (SASM). This course prepares current Scrum Masters for their leadership role in facilitating Agile team, program, and enterprise success in a SAFe® implementation. Explore facilitation of cross-team interactions in support of program execution and relentless improvement. Expand the Scrum paradigm with an introduction to scalable engineering and DevOps practices, the application of Kanban to facilitate the flow of value, and supporting interactions with architects, product management, and other critical stakeholders. Learn actionable tools for building high-performing teams and explore practical ways of addressing Agile and Scrum anti-patterns in the enterprise. What you will Learn To perform the role of a SAFe® Advanced Scrum Master, you should be able to: Apply SAFe® principles to facilitation, enablement, and coaching in a multi-team environment Build a high-performing team and foster relentless improvement at scale Address Agile and Scrum anti-patterns Support the adoption of engineering practices, DevOps, and Agile architecture Learn to apply Kanban and Extreme Programming (XP) frameworks to optimize flow and improve the team's work Facilitate program planning, execution, and delivery of end-to-end systems value Support learning through participation in communities of practice and innovation cycles Exploring the Scrum Master role in the SAFe® enterprise Applying SAFe® Principles: A Scrum Master's perspective Exploring Agile and Scrum anti-patterns Facilitating program execution Improving flow with Kanban and XP Building high-performing teams Improving program performance with Inspect and Adapt
Duration 1 Days 6 CPD hours This course is intended for This course is suitable for IT personnel who are just beginning to work with Azure. This audience wants to learn about our offerings and get hands-on experience with the product. This course primarily uses the Azure portal and command line interface to create resources and does not require scripting skills. Students in this course will gain confidence to take other role-based courses and certifications, such as Azure Administrator. This course combines lecture, demonstrations, and hands-on labs. This course will also help prepare someone for the AZ-900 exam. This course will provide foundational level knowledge on cloud concepts; core Azure services; and Azure management and governance features and tools. Prerequisites There are no prerequisites for taking this course. Familiarity with cloud computing is helpful, but isn't necessary. 1 - Describe cloud computing What is cloud computing Describe the shared responsibility model Define cloud models Describe the consumption-based model 2 - Describe the benefits of using cloud services Describe the benefits of high availability and scalability in the cloud Describe the benefits of reliability and predictability in the cloud Describe the benefits of security and governance in the cloud Describe the benefits of manageability in the cloud 3 - Describe cloud service types Describe Infrastructure as a Service Describe Platform as a Service Describe Software as a Service 4 - Describe the core architectural components of Azure What is Microsoft Azure Get started with Azure accounts Describe Azure physical infrastructure Describe Azure management infrastructure 5 - Describe Azure compute and networking services Describe Azure Virtual Machines Describe Azure Virtual Desktop Describe Azure Containers Describe Azure Functions Describe application hosting options Describe Azure Virtual Networking Describe Azure Virtual Private Networks Describe Azure ExpressRoute Describe Azure DNS 6 - Describe Azure storage services Describe Azure storage accounts Describe Azure storage redundancy Describe Azure storage services Identify Azure data migration options Identify Azure file movement options 7 - Describe Azure identity, access, and security Describe Azure directory services Describe Azure authentication methods Describe Azure external identities Describe Azure conditional access Describe Azure role-based access control Describe zero trust model Describe defense-in-depth Describe Microsoft Defender for Cloud 8 - Describe cost management in Azure Describe factors that can affect costs in Azure Compare the Pricing and Total Cost of Ownership calculators Describe the Microsoft Cost Management tool Describe the purpose of tags 9 - Describe features and tools in Azure for governance and compliance Describe the purpose of Microsoft Purview Describe the purpose of Azure Policy Describe the purpose of resource locks Describe the purpose of the Service Trust portal 10 - Describe features and tools for managing and deploying Azure resources Describe tools for interacting with Azure Describe the purpose of Azure Arc Describe Azure Resource Manager and Azure ARM templates 11 - Describe monitoring tools in Azure Describe the purpose of Azure Advisor Describe Azure Service Health Describe Azure Monitor Additional course details: Nexus Humans AZ-900T00 Microsoft Azure Fundamentals 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 AZ-900T00 Microsoft Azure Fundamentals 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 designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints
Duration 3 Days 18 CPD hours This course is intended for This course is intended for Solution Architects Overview At the end of this course, you will be able to: Apply the AWS Well-Architected Framework Manage multiple AWS accounts for your organization Connect an on-premises datacenter to AWS cloud Move large data from an on-premises datacenter to AWS Design large datastores for AWS cloud Understand different architectural designs for scalability Protect your infrastructure from DDoS attack Secure your data on AWS with encryption Enhance the performance of your solutions Select the most appropriate AWS deployment mechanism Building on concepts introduced in Architecting on AWS, Advanced Architecting on AWS is intended for individuals who are experienced with designing scalable and elastic applications on the AWS platform. Building on concepts introduced in Architecting on AWS, this course covers how to build complex solutions which incorporate data services, governance, and security on AWS. This course introduces specialized AWS services, including AWS Direct Connect and AWS Storage Gateway to support Hybrid architecture. It also covers designing best practices for building scalable, elastic, secure, and highly available applications on AWS. Module 1: AWS Account Management Multiple accounts Multi-account patterns License management Manage security and costs with multiple accounts AWS Organizations AWS Directory Service Hands-on lab: Multi-VPC connectivity using a VPN Module 2: Advanced Network Architectures Improve VPC network connections Enhance performance for HPC workloads VPN connections over AWS AWS Direct Connect AWS Transit Gateway Amazon Route 53 Exercise: Design a hybrid architecture Module 3: Deployment Management on AWS Application lifecycle management Application deployment using containers AWS Elastic Beanstalk AWS OpsWorks AWS CloudFormation Module 4: Data Optimize Amazon S3 storage Amazon ElastiCache AWS Snowball AWS Storage Gateway AWS DataSync Backup and archival considerations Database migration Designing for big data with Amazon DynamoDB Hands-on lab: Build a failover solution with Amazon Route 53 and Amazon RDS Module 5: Designing for large scale applications AWS Auto Scaling Migrating over-provisioned resources Blue-green deployments on AWS Hands-on lab: Blue-green deployment with AWS Module 6: Building resilient architectures DDoS attack overview AWS Shield AWS WAF Amazon GuardDuty High availability using Microsoft SQL Server and Microsoft SharePoint on AWS High availability using MongoDB on Amazon EC2 AWS Global Accelerator Hands-on lab: CloudFront content delivery and automating AWS WAF rules Module 7: Encryption and data security Encryption primer DIY key management in AWS AWS Marketplace for encryption products AWS Key Management Service (AWS KMS) Cloud Hardware Security Module (HSM) Comparison of key management options Hands-on lab: AWS KMS with envelope encryption
The NCSP® 800-53 Practitioner accredited (APMG International), certified (NCSC/GCHQ-UK), and recognized (DHS-CISA-USA) certification course teaches Digital Business, Operational Stakeholders, Auditors, and Risk Practitioners a Fast-Track approach to adopting and adapting the NIST Cybersecurity Framework and its 800-53 controls across an enterprise and its supply chain.The course also teaches candidates how to build a Digital Value Management System (DVMS) CPD overlay model capable of enabling the quick adoption and adaption of new frameworks and models (NIST-CSF, NIST Privacy Framework, CMMC, etc.) that may be required to address internal, external (regulatory), and cyber threat landscape changes. Finally, the course teaches candidates how to ensure the organization's DVMS is designed for use within the organization and auditable by government regulators looking to verify regulatory outcomes. The NCSP Practitioner 800-53 course is designed for both the Implementer and Auditor topics and participants select the exam they want to take (or an additional exam can be ordered to be certified as both an implementer and auditor).
Portfolio, Programme, and Project Offices (P3O®) Foundation: In-House Training P3O® is the AXELOS standard for the design of decision-making processes regarding changes in organizations. P3O provides a guideline for the design of portfolio, programme, and project offices in organizations. The P3O Foundation course is an interactive learning experience. The P3O Foundation-level content provides you with sufficient knowledge and understanding of the P3O guidance to interact effectively with, or act as an informed member of, an office within a P3O model. It enables you to successfully complete the associated P30 Foundation exam and achieve the qualification. In this course, you will be prepared to successfully attempt the P3O Foundation exam and learn how to implement or re-energize a P3O model in their own organization. What you will Learn Individuals certified at the P3O Foundation level will be able to: Define a high-level P3O model and its component offices List the component offices in a P3O model Differentiate between Portfolio, Programme, and Project Management List the key functions and services of a P3O List the reasons for establishing a P3O model Compare different types of P3O models List the factors that influence selection of the most appropriate P3O model for an organization Define the processes to implement or re-energize a P3O Benefits: Fast-track programme for those who want to achieve P3O Foundation qualification Practical case study and scenarios Attractive slides and course book Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Why Have a P3O? How a P3O adds value Maximizing that value Getting investment for the P3O Overcoming common barriers Timescales How to Implement or Re-Energize a P3O Implementation lifecycle for a permanent P3O Identify Define Deliver Close Implementation lifecycle for a temporary programme or project office Organizational context Definition and implementation Running Closing Recycling How to Operate a P3O Overview of tools and techniques Benefits of using standard tools and techniques Critical success factors P3O tools P3O techniques
Join the Scrum.org accredited Live Virtual Class - Professional Scrum Product Owner Advanced™ training (PSPO Advanced) to master the role of a Product Owner. Learn how to advance your training of Product Ownership and apply it to deliver even more value. Course Description Agile techniques and the Scrum framework revolutionise project and product delivery, enabling teams to work faster and align closely with business needs. A product owner's role within this delivery is critical. Unlike traditional team managers, Product Owners focus on maximising product value rather than individual elements of project delivery. To excel in this role, product owners must combine business strategy with product vision and delivery roadmaps. The ability to operate within complex environments highlights the need for specific training and qualifications. Product Owner Advanced training is specifically designed to empower experienced Product Owners to deliver greater value. An exceptional Product Owner requires skillsets beyond core Agility and Scrum. These include clear decision-making, vision, communication, and influence. Practical experience is highly valued, and the PSPO 2 course emphasises interactive workshops, discussions, and exercises to provide a comprehensive understanding of the multifaceted Product Owner role. This course elevates existing Product Owners' capabilities, providing a clear path for your professional growth and delivering increased value to product stakeholders. Through collaborative and exploratory training, Product Owners' knowledge and experience will reach new heights, improving various aspects of your role. Key areas covered include: Deepening understanding of the Product Owner role, including product understanding, customer identification, and effective communication of product vision and strategy. Leveraging product vision and strategy to gain a competitive edge. Embracing diverse roles and stances essential for Product Owners. Enhancing stakeholder communication and management skills with a focus on different stakeholder groups. Navigating Agile governance, budgeting, and contracting within the Scrum framework. Scaling the Product Owner role for larger projects and products. By the end of this product owner advanced training, participants will be equipped to excel as Product Owners, driving success and value across their product journey. Why Train With Us? Develop advanced product owner skillsets that build on your existing knowledge of the Scrum framework and product owner accountabilities with our immersive two-day online PSPO Advanced course. Led by experienced industry professionals and support Professional Scrum Trainers & Product Owners, the course values team-based exercises and a hands-on learning experience. We help you grow within your Product Owner role through this advanced training, enabling you to better communicate product vision and strategy to teams, ultimately delivering higher value through projects and products with larger scopes. Who Should Attend This Course? The Professional Product Owner – Advanced course is designed for: Experienced Product Owners, ideally with at least one year of experience in the role Scrum Masters and stakeholders collaborating with Product Owners Your Professional Scrum Trainer Meet Jay, founder of Fractal Systems and a dedicated Professional Scrum Trainer. With over 20 years of experience in team and leadership roles, Jay is well-versed in delivering continuous value. His unique teaching approach involves zero PowerPoint and instead relies on engaging, experience-based sessions using techniques from Liberating Structures and Neuro Linguistic Programming. Jay's expertise lies in business transformations, offering training, mentoring, coaching, and consulting to foster success through collaborative efforts. Rapid learning and practical application are the hallmarks of his approach. Jay & the entire Fractal team are invested in your learning journey and are here to support you from start to end, including offering additional valuable support: Free practice assessments for certification success Free resource bundle to master Scrum Free exam revision sheets Free access to an exam simulator Free exam coaching sessions for first-time success Free 1:1 coaching to excel at work Our Clients Our Testimonials
This Level 4 practitioner award encourages individuals in or working towards a leadership role (this could be an IT or technical based-role), and you want to demonstrate modern leadership behaviours to nurture a high-performing team, especially during a time of organisational change.