The Agile Project Manager Change isn't coming, it's already here. The project environment is becoming more volatile, uncertain, complex, and ambiguous. Project management and project managers must transform and evolve in order to keep up with these changes. Agile has been a disruptor in the field of project management, having over 20 years of successes and benefits to organizations that have adopted their frameworks. The Agile frameworks have proven themselves to be more adept in dealing with this uncertainty. But Agile isn't just about following a different way of working. What do you need to learn, do, and become in order to continue in the current and future environment? It is a powerful combination of knowledge, competencies, and mindset. In an increasingly complicated project environment, this course provides participants with the knowledge needed to not only survive but thrive. What you will Learn At the end of this program, you will be able to: Evaluate the changing project environment and the needed knowledge, skills, and behaviors Demonstrate innovative project manager competencies of leading change, servant leadership, and focus on value Utilize Lean and Agile principles to maximize value and improve project performance Construct a hybrid Agile model that is unique to your project Assess your role in Business Agility as an Agile Project Manager Getting Started Introductions Workshop orientation Expectations Foundations Recap: What is Agile? A changed project environment The future project manager Agile Project Management Competencies Focusing on value Championing change Servant leadership Coaching / mentorship Facilitation Lean and Agile Principles Optimizing flow Making things small Continuous planning Just-In-Time requirements Visualizing work Hybrid Agile Considerations Considering a Hybrid Approach Examining Strengths and Weaknesses of Each Approach Selecting Waterfall / Agile Roles, Practices, and Techniques Reviewing Three Hybrid Scenarios Constructing the Hybrid Project Implementing Agile Pitfalls and Concerns Agile in the Organization Business Agility
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Why choose Vectorworks Landmark Training Course? Course info Explore the Vectorworks Landmark Training Course! 1-on-1 Live Online sessions led by certified tutors and industry experts. Master Vectorworks Landmark for landscape and site design, creating captivating outdoor spaces. Enroll now to unleash your design skills. Duration: 16 hrs. Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. This course focuses on Vectorworks Landmark fundamentals, providing essential tools and techniques for landscape architecture, design, and related disciplines. Participants should have a basic understanding of Vectorworks software. The course covers 2D and 3D drawing, file organization, landscape plan/model creation, and more. Learning Objectives: Organize drawing files using industry standards and best practices for effective collaboration. Utilize imported files and field-collected data for base plans and site inventories. Integrate 2D and 3D elements for plan documentation and model analysis. Utilize worksheet features for material quantification and project efficiency. Course Prerequisites: Participants should be familiar with basic drafting concepts, computer operations, and keyboard shortcuts. This training demonstrates sustainable design principles and the use of CAD tools for erosion control, runoff calculations, plant tracking, and sun/shade analysis. Participants will learn to create a 3D site digital terrain model and assess proposed plantings' effects on solar heat gain and water usage. Vectorworks Landmark Basic to Intermediate Training Course Duration: 16 hours Join our comprehensive Vectorworks Landmark Basic to Intermediate Training, designed for landscape architects and designers. Master 2D and 3D landscape design with essential techniques, covering site analysis, plans, irrigation, and 3D visualization. Unleash your creativity with custom plant symbols and detailed planting plans using the plant database. Course Outline: I. Introduction to Vectorworks Landmark (1 hour) An overview of Vectorworks Landmark for landscape design Interface orientation and basic tool usage Navigation and viewport controls Landscape design project creation and management II. Site Analysis and Site Plans (3 hours) Collecting site information and producing site analysis drawings Crafting site plans and hardscape design Working with contours, elevations, and terrain models Incorporating site amenities like paths, fences, and walls III. Planting Plans (5 hours) Utilizing the plant database to select suitable plants for specific regions Creating personalized plant symbols Developing comprehensive planting plans and plant lists Understanding plant compatibility and growth patterns IV. Irrigation Design (2 hours) Designing and editing irrigation systems and zones Integrating irrigation components into the site plan Generating irrigation reports for efficient planning V. 3D Visualization (3 hours) Creating captivating 3D models of landscape designs Applying textures and materials to hardscape elements and plants Utilizing the Renderworks engine for high-quality rendering Enhancing designs with lighting and special effects VI. Customization (1 hour) Tailoring the interface for landscape design efficiency Creating custom object styles and resource libraries VII. Collaboration and Sharing (1 hour) Importing and exporting data from other software platforms Sharing landscape design drawings with colleagues and collaborators VIII. Conclusion and Next Steps (1 hour) Comprehensive review of course content Guidance on further learning resources Q&A session and feedback gathering Enroll in our Vectorworks Landmark Basic to Intermediate Training to enhance your landscape design expertise and unleash your creative prowess. Download Vectorworks Landmark https://www.vectorworks.net/en-GB/landmark By the end of the Vectorworks Landmark Training Course, participants will: Understand the key features and functionalities of Vectorworks Landmark for landscape design. Demonstrate proficiency in using essential tools for site analysis, site plans, and hardscape design. Create detailed planting plans, selecting appropriate plants, and understanding their compatibility and growth patterns. Design efficient and effective irrigation systems, including generating irrigation reports. Create 3D visualizations of landscape designs, applying textures, materials, lighting, and special effects. Customize the interface and create personalized object styles and resources. Collaborate and share landscape design drawings with other software users. Have the foundation to pursue further learning and exploration in landscape design using Vectorworks Landmark.
https://www.transmedia.co.uk/course/google-google-analytics-introduction A true understanding of Google Analytics will help dramatically with your knowledge of what digital content your users engage with most and what web pages and app features provide the best results. It will help you to know who your audiences are, where your web traffic comes from and whether your online campaigns are delivering the results you expect. This one day, hands on course is designed for those with no previous experience of Google Analytics or those with experience of Universal Analytics and who now want to upgrade to GA4 and gain thorough knowledge of what GA4 can do and how it differs from prior versions. Topics covered include Introduction, the GA4 data model, the interface, Understanding the data, Reporting in GA4, How users engage with your content and Analysis techniques.
WANs training course description A concise overview course covering Wide Area Networks with particular emphasis on the WAN options available including the use of the Internet. What will you learn Choose and evaluate WAN technologies. Recognise the role of service providers. Describe the benefits of VPNs. Describe how the Internet can be used as a WAN. Describe the equipment needed to connect LANS to WANS. List the speeds of various WAN technologies. WANs training course details Who will benefit: Anyone, although the course is particularly aimed at non-technical personnel needing some knowledge of WANS. Prerequisites: Network fundamentals Duration 1 day WANs training course contents WANS WAN architecture, Common WAN terms, Core vs access, service providers, relationship with 7 layer model, WAN equipment, how to choose a WAN. Layer 1 Copper, phone lines, fibre, coaxial, satellite, wireless. Cabling to the building, CPE cabling, interfaces. Layer 2 Dial up vs. Dedicated vs. packet switched networks and when to use them. Packet switching vs. circuit switching. Point to point and point to multipoint. Dialup access technologies Modems, ISDN, BRI, PRI. Access with dedicated lines XDSL, leased lines. WAN services X.25, SMDS, Frame Relay, CIR, ATM, Internet, MANS, dark fibre and other services. Case study: Selecting WAN technologies. Service provider technologies MPLS, SDH, WDM, DWDM. Routers Network addressing, default gateways, routing tables, routing protocols. Internet architecture Service providers, ISPs, private peering, public peering, core WANs in the Internet. VPNs Private networks, public networks, What are VPNs?, benefits of VPNs, tunnelling, encryption, IPSec. Case study: Specifying WAN connectivity.
1-2-1 face to face training customised and bespoke.
Advanced Python training course description This course caters to network engineers aiming to enhance both their Python proficiency and network automation skills. Delving deeper into key areas such as netmiko, Nornir, and ncclient, we also focus on automating network testing and validation. Participants gain greater confidence working with Python functions, classes, objects, and error handling. The course additionally introduces more libraries like Scrapli, TTP, pyATS, Genie, pybatfish, and Suzieq, which cover parsing strategies, automation testing, validation, network analysis, observability, and telemetry. The curriculum also encompasses concurrency techniques. What will you learn Write Python modules and functions. Evaluate techniques to parse unstructured data. Use NETCONF filters. Handle Python errors effectively (try, assertâ¦). Use postman. Automate testing and validation of the network. Use scrapli, Genie, batfish and Suzieq. Advanced Python training course details Who will benefit: Network engineers. Prerequisites: Python for network engineers Duration 5 days Advanced Python training course contents Review CLI, NETCONF, RESTCONF, structured versus unstructured data, gNMI and when to use which. PEP 8. Naming conventions. Packages, modules, Classes and methods. The scrapli library. Netmiko versus scrapli. Hands on: scrapli, Dictionaries versus Regular Expressions. Modules and Functions Writing your own modules, containers versus packages, virtual environments. Best practices, calling functions, writing your own functions. Parameters, arguments. Named arguments, dictionaries as arguments. Builtins. Docstrings. Main. __name__, __main__ . Program arguments. Hands on: Getting interfaces, showing interface status using Netmiko and functions. Using dictionaries as arguments. Writing your own modules. Parsing strategies Turning unstructured data into structured data. textfsm, PyATS Genie parser, NAPALM getters, Template Text Parser. Hands on: Genie parser, TTP. Accessing structured data with lists and dictionaries. Classes, objects and Python Python classes in Genie, PyEZ and others . Hands on: studying network automation classes, objects, methods and attributes. Configuration management - more nornir, ncclient, requests Nornir tasks. Nornir results, Nornir functions, Nornir plugins. Nornir processors. YANG, YANG models, pyang. NETCONF hello. Capabilities. Schemas. Filters. Subtrees. XPATH. Exploring available YANG data models. NETCONF and network wide transactions. Asserting NETCONF capabilities. Configuration types. Locking configurations, commits. NETCONF data stores. Netconf-console. RESTCONF differences from NETCONF. URI construction. Postman. More XML and JSON. Git and configuration versions. Hands on: Nornir and Jinja2. Exploring available models, NETCONF filters. Using postman. Python error handling and debugging Context handlers, try, assert, logging, pdb, pytest, unit testing, chatgpt. Hands on: Writing code with each of the error handling methods, investigating what happens on an error. Use chatgpt to debug your code. Python Automation Testing Testing and validation. pyATS, Genie. Testbed file. Genie parse, genie learn, genie diff. Genie conf, Genie ops, Genie SDK, Genie harness. Xpresso. Hands on: Using Genie for state comparisons of the network. Network analysis Batfish, pybatfish, configuration analysis, analysing routing, analysing ACLs. Pandas. Pandas dataframe. Filtering and selecting values of interest. Hands on: Use Batfish to analyse network snapshots, find network adjacencies, flow path analysis. Network observability Suzieq, using docker, using as a package. Sqpoller, suzieq-gui, suzieq-cli, sq-rest-server. Namespaces and seeing devices, network state and Asserts. Time based analysis, snapshots and changes. Hands on: Suzieq: Gathering data from the network, analysing data from the network. Network state assertion. Telemetry gRPC, gNMI. CAP, GET, SET. Subscriptions. Model Driven telemetry. Hands on: Analysing telemetry data with Python. Concurrency asyncio, threads, processes. Nornir concurrency. Scrapli and netmiko concurrency. Hands on: Multiple SSH connections to devices at same time. Scarpli asyncio.
In this comprehensive blog post, we explore Driscoll's model of reflection, a powerful tool for enhancing personal and professional development. Learn about the three simple yet profound questions at the heart of the model, its benefits, and why Driscoll's model of reflection is good for anyone looking to improve their reflective practice.