403 Courses in Cardiff delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for Anyone with the need to understand how business analysis is performed to support agile projects or who must transition their existing business analysis skills and practices from waterfall to agile. Overview In this course, students will: Understand the fundamentals of agile delivery and agile business analysis Compare and contrast business analysis on waterfall and agile projects Explain the value proposition for agile product development Define the 4 main types of project life cycles Complete an in-depth walkthrough of the agile delivery life cycle Explain the major flavors of agile Understand the major standards available to assist in transition of skills Define business analysis tailoring and understand how to apply it Learn over 20 business analysis techniques commonly used on agile projects In this course, students will gain an understanding about agile business analysis. Students will learn how business analysis on an agile project is ?the same? and ?different? than business analysis performed on waterfall projects. Students will understand how the business analysis role changes on an agile team. A number of business analysis techniques suited for supporting agile teams will be introduced as will the various standards available to the community to help teams and organizations transition. Since few organizations are pure agile, students will also learn about delivery approaches that use a combination of practices from waterfall and agile and will also be introduced to the important concept of business analysis tailoring ? the key skill used to adapt business analysis skills to all environments ? regardless of the delivery life cycle selected. Introduction What is agile The Agile Manifesto Agile principles Agile benefits Hands-on activity Learning and course objectives The current state of agile Agile trends Agile skills Value proposition The business case for agile The BA role changes on an agile project Hands-on activity Understanding project life cycles Project life cycle Product life cycle Incremental versus Iterative Hybrid approaches to delivery Choosing a project life cycle An in-depth look at Agile The agile development life cycle A sequence of iterations Essential concepts Inside each iteration Iteration goal Iteration planning Sequence of tasks Work period Testing End of iteration activities Evaluation and feedback Structured walkthroughs Evaluation guidelines The BA role in structured walkthroughs Scripting scenarios Defect list Retrospectives Hands-on exercise Type of Agile Delivery Approaches The flavors of agile Scrum Scrum roles Extreme Programming (XP) Dynamic System Development Method (DSDM) Feature Driven Development (FDD) Testing Best practices used by FDD Kanban Kanban Boards Agile Unified Process Scaling Frameworks Introduction to Agile Business Analysis What is business analysis? What is agile business analysis? Framework for agile business analysis Business analysis components International Institute of Business Analysis (IIBA©) Project Management Institute (PMI©) Context to business analysis Our industry BA standards Our industry Agile BA standards Product Owners What stays the same What is expected to change Agile requirements deliverables Lightweight documentation Requirements repository Where business analysis fits in The BA workload Hands-on exercise Business Analysis Tailoring Business analysis tailoring (defined) Tailoring considerations What tailoring looks like The PMI Guide to Business Analysis Determining the ?best? BA approach Methodology vs Standard Why use methodologies Determining your methodology Business analysis impacts Tools and techniques for agile business analysis Agile BA techniques Backlog refinements Behavior Driven Development (BDD) Burndown chart Collaborative games Definition of done Definition of ready INVEST Iteration planning Kanban board Minimum marketable features (MMF) Minimum viable product (MVP) MoSCoW Narrative writing Persona analysis Product roadmap Progressive Elaboration Prototyping Purpose alignment model Retrospectives Story slicing Hands-on Exercise Prioritization Techniques Requirements prioritization Prioritizing on agile projects Prioritization criteria Business benefit MoSCoW Pair-choice comparison Setting priorities with multi-voting Cost to acquire and operate Determining business value Story point estimating Planning poker Project velocity Hands-on activity Course wrap-up Making the transition to agile How my role will be different Course summary Retrospective Questions Additional course details: Nexus Humans BA08 - Agile for Business Analysts 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 BA08 - Agile for Business Analysts 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 is designed for a non-technical audience and doesn't require any prior coding or technical experience. The handson exercises will be done using pre-built OpenAI tools and interfaces that are user-friendly and easy to use. Overview Working in an interactive learning environment, led by our engaging expert, you will: Get comfortable with the basics of prompt engineering and discover how it can make a difference in various business tasks, such as enhancing customer support, creating content, and fine-tuning sales pitches. Develop the knack for crafting, refining, and perfecting prompts suited to specific business situations by understanding context, user intent, and what makes a prompt great. Learn how to smoothly incorporate prompt engineering solutions into your existing business workflows, including pinpointing the right processes, integrating with your current software, and keeping data privacy and security in check. Become proficient in advanced techniques and best practices in prompt engineering, like making use of APIs, customizing language models, and collaborating with your teammates across different departments. Keep up with the latest developments in prompt engineering and be ready to adapt to changing business needs and trends, ensuring that you stay relevant and continue to grow in the dynamic business world. Prompt engineering is the process of designing and refining input prompts to get desired output from advanced language models, such as OpenAI Codex or GPT-4. It involves creating effective questions or statements that guide the AI model to generate useful responses for a specific task or purpose, like enhancing customer support, generating content, and fine-tuning sales pitches, making it an essential skill set for a wide range of business applications. Quick Start to Prompt Engineering for Everyday Business Users is a one-day, workshop style hands-on course that where you'll learn how to create effective prompts, integrate prompt engineering solutions into existing workflows, and uncover advanced techniques and best practices. Guided by our engaging, expert instructor, you?ll experiment with innovative tools and develop practical skills that can be immediately applied to a variety of projects. Whether you're aiming to enhance customer interactions, simplify content creation, or refine internal communication, this immersive learning experience will equip you with the knowledge to make a meaningful impact on your organization. Introduction to Prompt Engineering Understand the fundamentals of prompt engineering and its applications in the business world. What is prompt engineering? Importance of prompt engineering in business Key concepts and terminology Examples of prompt engineering in business scenarios Overview of popular prompt engineering tools (e.g., OpenAI Codex, GPT-4) Activity: Hands-on exploration of prompt engineering tools: Participants will engage in a fun scavenger hunt activity, where they will experiment with different prompt engineering tools to answer a set of questions. Developing Effective Prompts Learn how to create and refine prompts for a variety of business applications. Anatomy of a good prompt Understanding context and user intent Techniques for prompt iteration and optimization Generating specific and creative responses Handling sensitive information and biases Activity: Prompt development workshop: Participants will practice developing and refining prompts in a collaborative, game-like environment, where they will compete to create the most effective prompts for given business scenarios. Integrating Prompt Engineering into Business Processes Discover how to incorporate prompt engineering solutions into existing workflows. Identifying business processes that can benefit from prompt engineering Integrating prompt engineering with existing software and tools Evaluating the success and impact of prompt engineering solutions Ensuring data privacy and security Scaling prompt engineering solutions across an organization Activity: Business process integration simulation: Participants will work in teams to create a plan for integrating a prompt engineering solution into a simulated business process, with a focus on creativity and practicality. Advanced Techniques and Best Practices Gain insights into advanced techniques and best practices for prompt engineering in a business context. Leveraging APIs for prompt engineering Customizing and fine-tuning language models Adapting to changing business requirements and trends Collaborating with cross-functional teams Staying up-to-date with prompt engineering advancements Activity: Advanced prompt engineering challenge: Participants will take part in a friendly competition, using advanced techniques to solve complex business-related prompt engineering challenges. Additional course details: Nexus Humans QuickStart to Prompt Engineering for Everyday Business Users (TTAI2009) 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 QuickStart to Prompt Engineering for Everyday Business Users (TTAI2009) 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.

We often find ourselves working in fast-paced matrix environments, working in/with virtual teams or simply trying to get something done by someone in another part of the business. This common aspect of our working lives has a common challenge: how to influence other people to help us or do something for us, when they don't report to us. Pulling rank or strong nudging might work once, but we need to build a supportive and collaborative relationship over the long term. What Does This Course Offer? Fortunately, there are really effective tips for influencing, and our program offers an influencing model in detail. Through activity and discussion we explore how you can apply these principles and use it when you need help from other people. Even when we are not in a leadership position it can sometimes be extremely difficult to get people's help, especially when we have no authority over them. This is where an approach and an influencing model can help us identify what we and other people value in a given influencing situation. We can then explore that information so that everyone can view and pursue a common purpose. This course will enhance and promote the skill set necessary for any leader or manager, allowing our in-depth influencing knowledge to be applied into your working environment. From an employer's perspective this award can be a significant long-term return on investment by developing your leaders and managers. Our learning experiences are successful because the outcomes are quickly embedded and demonstrate an immediate visible impact on the day-to-day working environment. Our engaging learning inspires employees to want to personally add value to the companies they work for. We also offer our Paradigm Trait-Map™ online assessment and report as a frame of reference for your own influencing styles and that of others. This assessment should be completed before attending the program, and will be expanded upon during the program delivery. Course Content The Influencing for Leadership and Management course covers the following topics: Two key influencing models that you can apply back in your daily work Different types of influencing How to create the right environment for influencing Barriers you may face and how to overcome these barriers Accreditation Activity Our accredited tutors deliver training that encourages delegates to confidently and practically apply all they have learnt as soon as they get back into the business. To achieve this award, delegates need to prepare and deliver a 3 minute presentation* on the highlights of their learning and immediate application avenues when back in their working environment. *Participants will be given 30 minutes during the program to prepare for their 3 min presentation at the end of the program. Scheduled Course Dates Unfortunately this course is not currently scheduled as an open course as it is primarily run as an in-house programme. For more information, please contact us. In-House Courses This is our own management training course which has been developed and refined over the many years we have been providing it to delegates from organisations in virtually every industry. This means that the course syllabus is extremely flexible and can be tailored to your specific requirements. If you would like to discuss how we can tailor this management training course for you and/or run it at your premises, please contact us.

Duration 3 Days 18 CPD hours This course is intended for The ideal audience for this course includes database enthusiasts, IT professionals, and developers who are eager to expand their knowledge and skill set in database management and optimization. Roles that would greatly benefit from attending this course include: Database Developers: Those who design, implement, and maintain databases as part of their primary responsibilities and want to improve their expertise in schema design, query optimization, and advanced database features. Backend Developers: Professionals who work on server-side application logic and require a strong understanding of database management to integrate data storage and retrieval processes into their applications. Overview Upon completing this course, database developers will be able to: Design and implement efficient database schemas by employing normalization techniques, appropriate indexing strategies, and partitioning methods to optimize data storage and retrieval processes. Develop advanced SQL queries, including joining multiple tables, utilizing subqueries, and aggregating data, to extract valuable insights and facilitate decision-making processes. Implement stored procedures, functions, and triggers to automate common database tasks, enforce data integrity, and improve overall application performance. Apply database performance tuning techniques, such as query optimization, index management, and transaction control, to ensure optimal resource usage and enhanced system responsiveness. Integrate databases with various programming languages and platforms, enabling seamless data access and manipulation for web, mobile, and desktop applications. PostgreSQL is a powerful, open-source object-relational database management system that emphasizes extensibility, data integrity, and high performance. Its versatility and robust feature set make it an ideal choice for developers working on projects of all sizes, from small-scale applications to enterprise-level systems. By learning PostgreSQL, developers can tap into its advanced capabilities, such as full-text search, spatial data support, and customizable data types, allowing them to create efficient and scalable solutions tailored to their unique needs. PostgreSQL for Database Developers is a three-day hands-on course that explores the fundamentals of database management, covering everything from installation and management to advanced SQL functions. Designed for beginners and enthusiasts alike, this course will equip you with the knowledge and skills required to effectively harness the power of PostgreSQL in today's data-driven landscape. Throughout the course you?ll be immersed in a variety of essential topics, such as understanding data types, creating and managing indexes, working with array values, and optimizing queries for improved performance. You?ll gain valuable hands-on experience with real-world exercises, including the use of the psql client, writing triggers and stored procedures with PL/pgSQL, and exploring advanced SQL functions like Common Table Expressions (CTE), Window Functions, and Recursive Queries. You?ll exit this course with a solid foundation in PostgreSQL, enabling you to confidently navigate and manage your databases with ease and efficiency. Installing & Managing PostgreSQL PostgreSQL installation process Optimal configuration settings User and role management Database backup and restoration Overview of PostgreSQL Database PostgreSQL architecture overview Understanding database objects Efficient data storage Transaction management basics Using the psql client Introduction to psql Essential psql commands Executing queries effectively Managing databases with psql Understanding PostgreSQL data types Numeric data types explored Character and binary types Date, time, and boolean values Array and other types Understanding sequences Sequence creation and usage Customizing sequence behavior Implementing auto-increment columns Sequence manipulation and control Creating & managing indexes PostgreSQL index fundamentals Designing partial indexes Utilizing expression-based indexes Index management techniques Using COPY to load data COPY command overview Importing and exporting data Handling CSV and binary formats Performance considerations Working with Array Values Array value basics Array manipulation functions Querying arrays efficiently Multidimensional array handling Advanced SQL Functions Mastering Common Table Expressions Utilizing Window Functions Regular Expressions in SQL Crafting Recursive Queries Writing triggers & stored procedures with PL/pgSQL PL/pgSQL variables usage Implementing loop operations PERFORM and EXECUTE statements Developing PostgreSQL triggers Using the PostgreSQL query optimizer Query analysis and optimization EXPLAIN command insights PostgreSQL query operators Identifying performance bottlenecks Improving query performance Query performance tuning Index optimization strategies Efficient database partitioning Connection and resource management Wrap Up & Additional Resources Further learning opportunities Staying up-to-date with PostgreSQL Community engagement and support Additional course details: Nexus Humans PostgreSQL for Database Developers (TTDB7024) 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 PostgreSQL for Database Developers (TTDB7024) 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 The ideal audience for the RPA and UiPath Boot Camp is beginners in the field of RPA and individuals in roles such as developers, project managers, operation analysts, and tech enthusiasts looking to familiarize themselves with automation technologies. It's also perfectly suited for business professionals keen on understanding and implementing automated solutions within their organizations to optimize processes. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Automation Learning expert instructor, students will explore: Gain a thorough understanding of Robotic Process Automation (RPA) and its applications using UiPath, setting a solid foundation for future learning and application. Learn to record and play in UiPath Studio, a key skill that enables automating complex tasks in a user-friendly environment. Master the art of designing and controlling workflows using Sequencing, Flowcharting, and Control Flow, helping to streamline and manage automation processes effectively. Acquire practical skills in data manipulation, from variable management to CSV/Excel and data table conversions, empowering you to handle data-rich tasks with confidence. Develop competence in managing controls and exploring various plugins and extensions, providing a broader toolkit for handling diverse automation projects. Get hands-on experience with exception handling, debugging, logging, code management, and bot deployment, fundamental skills that ensure your automated processes are reliable and efficient. How to deploy and control Bots with UiPath Orchestrator The Hands-on Natural Language Processing (NLP) Boot Camp is an immersive, three-day course that serves as your guide to building machines that can read and interpret human language. NLP is a unique interdisciplinary field, blending computational linguistics with artificial intelligence to help machines understand, interpret, and generate human language. In an increasingly data-driven world, NLP skills provide a competitive edge, enabling the development of sophisticated projects such as voice assistants, text analyzers, chatbots, and so much more. Our comprehensive curriculum covers a broad spectrum of NLP topics. Beginning with an introduction to NLP and feature extraction, the course moves to the hands-on development of text classifiers, exploration of web scraping and APIs, before delving into topic modeling, vector representations, text manipulation, and sentiment analysis. Half of your time is dedicated to hands-on labs, where you'll experience the practical application of your knowledge, from creating pipelines and text classifiers to web scraping and analyzing sentiment. These labs serve as a microcosm of real-world scenarios, equipping you with the skills to efficiently process and analyze text data. Time permitting, you?ll also explore modern tools like Python libraries, the OpenAI GPT-3 API, and TensorFlow, using them in a series of engaging exercises. By the end of the course, you'll have a well-rounded understanding of NLP, and will leave equipped with the practical skills and insights that you can immediately put to use, helping your organization gain valuable insights from text data, streamline business processes, and improve user interactions with automated text-based systems. You?ll be able to process and analyze text data effectively, implement advanced text representations, apply machine learning algorithms for text data, and build simple chatbots. What is Robotic Process Automation? Scope and techniques of automation Robotic process automation About UiPath The future of automation Record and Play UiPath stack Downloading and installing UiPath Studio Learning UiPath Studio Task recorder Step-by-step examples using the recorder Sequence, Flowchart, and Control Flow Sequencing the workflow Activities Control flow, various types of loops, and decision making Step-by-step example using Sequence and Flowchart Step-by-step example using Sequence and Control flow Data Manipulation Variables and scope Collections Arguments ? Purpose and use Data table usage with examples Clipboard management File operation with step-by-step example CSV/Excel to data table and vice versa (with a step-by-step example) Taking Control of the Controls Finding and attaching windows Finding the control Techniques for waiting for a control Act on controls ? mouse and keyboard activities Working with UiExplorer Handling events Revisit recorder Screen Scraping When to use OCR Types of OCR available How to use OCR Avoiding typical failure points Tame that Application with Plugins and Extensions Terminal plugin SAP automation Java plugin Citrix automation Mail plugin PDF plugin Web integration Excel and Word plugins Credential management Extensions ? Java, Chrome, Firefox, and Silverlight Handling User Events and Assistant Bots What are assistant bots? Monitoring system event triggers Monitoring image and element triggers Launching an assistant bot on a keyboard event Exception Handling, Debugging, and Logging Exception handling Common exceptions and ways to handle them Logging and taking screenshots Debugging techniques Collecting crash dumps Error reporting Managing and Maintaining the Code Project organization Nesting workflows Reusability of workflows Commenting techniques State Machine When to use Flowcharts, State Machines, or Sequences Using config files and examples of a config file Integrating a TFS server Deploying and Maintaining the Bot Publishing using publish utility Overview of Orchestration Server Using Orchestration Server to control bots Using Orchestration Server to deploy bots License management Publishing and managing updates

Develop the commercial awareness, financial knowledge and strategic thinking capabilities, to influence the direction of the business Course overview Duration: 2 days (13 hours) This course is aimed at managers who want to develop their commercial awareness, financial knowledge and strategic thinking capabilities, so that they can influence the direction of their business and deliver to their full potential. Day one of the course provides the skills and insights to make sense of your company’s financial position and performance. Day two helps delegates to consider the strategic thinking tools required to plot the forward course needed to maximise the potential of the business. As well as looking at how to make effective business decisions, this course gives a good grounding in finance and profitability. As a two day programme, day one provides the skills and insights to make sense of the company’s financial position and performance. Day two then considers the strategic thinking tools needed to plot the forward course needed to maximise the potential of the business. Objectives By the end of the course you will be able to: An understanding of the balance sheet, profit and loss account, cash flow and statutory and management accounts Learnt to correctly employment key financial ratios to analyse your business A practical definition of strategy analysis tools to examine the current environment and capabilities Steps to devise a mission and vision statement Recognition of the skills and resources needed to achieve the vision Generation of appropriate strategic and tactical commercial objectives Content What is Strategy Defining Strategy Strategic thinking Strategic models Commercial thinking – what is money? Where are we now STEEPLE analysis SWOT Analysis P&E forces at work Political distortions in capitalist markets Where are we trying to get to Setting the mission and vision Creating a BHAG Strategies for deflation and inflation The role of banks Commercial and investment banking Fractional reserving Securitisation How to get there Skill gap analysis Business Process Re engineering The role of creativity How to get there Getting the team on board Individual and team motivation The power of the brand Overcoming challenges Debt and deleveraging Change management Creating value Discounted Cash Flows Building the business case Asset Valuation techniques Making it happen Turning Strategic Thinking into Strategic Plans Scenario planning for an uncertain future Creating commitments and lock in Discussion and review Time will be set aside during the course for review sessions with time for questions, answers and action learning.

Elevate your skills in designing, delivering and evaluating engaging and interactive training that will leave a lasting impact on your team or organisation Course overview Duration: 2 days (13 hours) This Train the Trainer workshop will enable you to gain valuable insights and practice helping you to feel more comfortable and confident delivering training sessions. We will look at some training best practice tools and techniques to ensure you can deliver the learning outcomes required. The workshop covers the training cycle but focuses heavily on interactive and practical training techniques to bring learning to life for participants. There will be opportunities to practice delivery of real work-based training and receive feedback on delivery style. Objectives  By the end of the course you will be able to: Explain Kolb’s model of how adults learn Describe the 4 key learning styles and how to engage people with different learning styles Apply the training cycle to plan, design, deliver and evaluate your training Write SMART training objectives Use and select a variety of methods to make your training interactive, engaging and effective Describe ways to deal with difficult participants or situations that may arise Apply your training skills to deliver structured training sessions with more competence and confidence Content The Training Cycle Assessing needs Planning and preparing Implementing training Reviewing Assessing Assessing Needs Understanding the task Assessing the learner’s current ability Identifying the gap Planning and Preparing Having clear outcomes in mind What people learn: o Knowledge o Skill o Understanding How people learn: preferences and learning styles and methods suitable for each Planning a programme Planning a session – a systematic approach Assessing risk Writing and using SOPs in training Key Skills for Effective Training Explanation and Demonstration Questioning and Listening Observation and Feedback Facilitation and Debriefing skills Coaching Using questioning, listening and feedback to help learners solve problems and develop confidence Evaluation and Assessment How to measure reactions and participant satisfaction Use of tests and assessments to measure learning Organisational measures of learning transfer Leverage You will have the opportunity to deliver two training sessions on this programme and gain valuable feedback to support you in your ongoing training delivery. Participants are required to prepare a 15 minute training session. This can be something you have delivered before or something you’ve created for the course. Please prepare and include any visual aids you would usually use when speaking and bring them with you, f possible, please also bring your smart phone (with camera, and memory capacity for a short video clip to be added), and headphones.

Duration 1 Days 6 CPD hours This course is intended for This overview-level course is ideally suited for professionals seeking an introduction to microservices architecture and its application within a business context. Ideal attendee roles include software developers, system architects, technical managers, and IT professionals who are part of teams transitioning to a microservices approach. It's also an excellent starting point for non-technical roles such as product owners or business analysts who work closely with technical teams and want to better understand and become conversant in the language and principles of microservices. Overview This course combines engaging instructor-led presentations and useful demonstrations with engaging group activities. Throughout the course you'll explore: Understand the Basics of Microservices: Get to know the fundamental principles and characteristics of microservices and how they revolutionize traditional software development approaches. Explore the Design of Microservices: Gain an overview of how microservices are designed based on business requirements and what makes them unique in the software architecture world. Overview of Managing and Scaling Microservices: Get an introduction to how microservices are managed and scaled independently, and understand the significance of these features in your business operations. Familiarize with the Microservices Ecosystem: Learn about the typical patterns, best practices, and common pitfalls in the microservices world, setting a foundation for future learning and implementation. Introduction to Microservices in a Business Context: Acquire a basic understanding of how microservices can be aligned with specific business capabilities, and get a glimpse into how they can coexist with legacy systems in a business setting. Microservices have rapidly emerged as a popular architectural style, breaking down applications into small, independent services that can be developed, deployed, and scaled individually. Microservices offer a robust method to address a variety of projects, such as e-commerce platforms and content management systems, enhancing scalability and boosting productivity. This technology, when employed correctly, can greatly increase software delivery speed and system resilience, making it a crucial skill set for modern technology professionals.Understanding Microservices - A Technical Overview is a one-day course ideally suited for technical professionals seeking an introduction to microservices architecture and its application within a business context. Under the guidance of an industry expert, this engaging class combines lecture-style learning with lively demonstrations, case study review and group discussions.Throughout the course you?ll explore the principles and characteristics that define microservices, how to identify suitable projects for a microservices approach, the factors to consider when designing them, and the strategies to effectively manage and scale them within complex systems. You?ll also learn about the best practices, patterns, and anti-patterns, arming you with the knowledge to make the right architectural choices. This course also explores the real-world implementation of microservices in a business enterprise. We'll discuss how to align the application of microservices with your organization's specific business capabilities, and offer strategies for smoothly integrating this technology within existing legacy systems. Introduction to Microservices Understand what microservices are and their role in modern software development. Introduction to Microservices: what they are and why they matter. Monolithic vs Microservices: highlighting the shift and benefits. Key principles and characteristics of microservices. Identifying suitable applications for microservices transformation. Demo: Analyzing a sample application and identifying potential microservices Architecting and Managing Microservices Learn the basic strategies for scaling and managing microservices. Scaling Microservices: from a single service to hundreds. Key components of a microservices architecture. Introduction to resilience patterns: Circuit-Breakers and Bulkheads. Load management and provisioning in a microservices setup. Understanding the role of cloud services in microservices. Optional Demo: Illustrating how a microservice-based application scales in real-time Designing Microservices Learn the key aspects to consider when designing microservices. Defining microservice boundaries: Deciding the scope of a microservice. Communication patterns in microservices. Understanding Microservice endpoints. Exploring data stores and transaction boundaries in microservices. Overcoming challenges in Microservices design. Demo: Designing microservices for a hypothetical business requirement Implementing Microservices in a Business Enterprise Understand the process and considerations for implementing microservices in an enterprise context. Assessing enterprise readiness for microservices. Building the business case for microservices: strategic advantages and potential challenges. Aligning microservices with business capabilities. Organizational changes: Team structures and processes for microservices. Dealing with Legacy Systems: Strategies for microservices integration. Demo: Exploring a case study of successful microservices implementation in a business enterprise The Microservices Ecosystem Understand the key tools and best practices in the Microservices ecosystem. Understanding the typical Microservices Stack. Monitoring and Logging in Microservices. Introduction to Docker: Containerization of Microservices. Deployment strategies in a Microservices setup. Introduction to Orchestration in Microservices Demo: Containerizing and deploying a simple microservice Microservices Deployment Strategies Understand various ways to safely introduce changes in a microservices environment. The concept of Blue-Green Deployment: changing services without downtime. Canary Releases and Feature Toggles: slowly rolling out changes to users. Database changes in a microservices environment: keeping data consistent. Demo: Examining various deployment strategies Microservices Best Practices and DevOps Learn key strategies to ensure a smooth operation of your microservices setup. The DevOps culture in Microservices: collaboration for efficiency. Defining a Minimum Viable Product in a Microservices setup: building small, delivering fast. Dealing with data in a distributed setup: managing Data Islands. The importance of Continuous Integration/Continuous Delivery in a microservices setup. Governance: Keeping track of your services and their consumers. Demo: Visualizing a simple continuous delivery pipeline Microservices Patterns and Anti-Patterns Learn about common do's and don'ts when working with microservices. Understanding patterns that help with efficient microservices operation. Recognizing and avoiding anti-patterns that can hinder performance. Dealing with common challenges: dependencies between services, managing service boundaries. Demo: Examples of real-world patterns and anti-patterns Simple Overview of OAuth and OpenID for Microservices Introduction to OAuth and OpenID: What they are and why they matter in Microservices. The role of tokens in OAuth 2.0: How they help in securing communications. A simplified look at OpenID Connect: Linking identities across services. Demo

Generating new leads and new business can be both time-consuming and frustrating. It's not easy - it takes skill, careful preparation and the creation of effective models and methods, even perhaps using formal approaches and scripts. Once generated, a new lead or enquiry must also be carefully managed to maximise the potential revenue it can generate. But it's crucial to get it right. If your company can afford not to worry about getting new business - congratulations! If your company is completely confident that it is performing at peak potential in generating new leads - again, congratulations! But if your company is working in the real world, couldn't your team do with some help, to become even just that little bit more effective, to make the process just that little less painful? This highly practical, intensive workshop gives sales teams the proven strategies and tactics they need to build a sustainable new business pipeline. This course will help participants: Develop a clear and consistent process for new business development and lead-generation Master the secret of effective new business development and lead-generation - 'only sell the appointment or next stage of the sales process, not your product or service' Set and achieve the right level of new business development and lead-generation activity to achieve your personal and organisational sales goals Apply the key principles of effective prospecting and pipeline management using a proven toolkit and approach Overcome the most common 'put-offs' when conducting telephone or face-to-face business-development and lead-generation activities Develop an engaging telephone voice and manner - and a 'networking personality' Qualify potential opportunities with more accuracy on a consistent basis Prioritise opportunities and manage their time when sourcing new business Discover online sources of leads, contacts and referrals Overcome psychological blocks to cold or warm calling - theirs and the client's Identify potential prospects - and decision-makers and influencers within target prospects - with greater accuracy Make outbound sales or appointment calls with improved confidence, control and results Improve the conversion of calls to appointments by using more effective questions and sales messages Get past gatekeepers and assistants more effectively Make the most of your CRM software and systems 1 Online marketing - what works! Workshop overview and learning objectives Choosing your social media channels LinkedIn for sales and marketing Designing and implementing an effective new business email campaign online Creating a lead-generation strategy online - with case studies Avoiding common mistakes in social media marketing Case study: 'Best practice in social media sales and marketing' Using blogs and video-based marketing (eg, YouTube) New trends and how to keep your finger on the 'social media' pulse Twenty essential websites and online marketing tools 2 Making appointments by telephone Planning the call, telephone techniques, integrating with email and online marketing Developing a clear and consistent process to appointment-making Setting and achieving the right level of telephone activity to achieve your appointment goals Applying the key principles of effective prospecting and pipeline management generation, using a proven toolkit and approach Overcoming the most common 'put-offs' to seeing or engaging with you Overcoming psychological blocks to cold or warm calling - yours and the client's Identifying potential prospects - and decision-makers and influencers within target prospects - with greater accuracy Making outbound sales or appointment calls with improved confidence, control and results Improving conversion of calls to appointments by using more effective questions and sales messages The five keys to developing an engaging telephone voice and approaching manner 3 Power networking Strategies for networking and B2B referral-based marketing The importance, and different types, of networking How to work a room - preparation and strategy Communication dynamics in networking - the power of the listening networker Assumptions when networking Business networking etiquette Making connections, asking for cards, contact details and referrals, gaining follow-up commitments Building relationships - follow-up and follow-through 4 Developing new leads Strategies for first-time sales calls Gaining rapport and opening first-time and new business sales calls effectively Advanced consultative selling - questioning techniques to quickly and efficiently uncover opportunities, need areas and preferences Presenting your solution to a new or first-time customer - creating an enthusiastic and compelling personalised and persuasive summary of your proposal Value message - differentiate your solutions clearly and accurately, with tailored value statements Presenting the right initial USPs, features and benefits and making them relevant and real to the customer Smart ways to position price, emphasise value and be a strong player without being the cheapest or leading on price Learn and use advanced techniques to determine customer needs, value and decision-making criteria in depth on a first-time call 5 Organised persistence - CRM and prospect-tracking Organised persistence - sales tracking, following up on 'sleeping' customers, gaining referrals, time and territory management Maintaining a good database for maximising new business ROI Developing a contact strategy with different types and levels of contact Analysing your contact base using state-of-the-art software and tools Making the most of your CRM systems and solutions Understanding that your attitude makes a difference when sourcing new business Setting SMART objectives for new business development and lead-generation Practical exercise - setting personal development and business goals Time management tips to improve daily productivity New business pipeline management strategies for peak sales performance 6 Workshop summary and close Practical exercise - developing your new business action plan Review and feedback

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies