2340 Developer courses in Manchester delivered Online

DevOps demystified training course description This course is an introduction to DevOps. The course emphasizes communication, collaboration , integration, and automation to improve the workflow between developers and IT operations professionals. Improved workflows lead to more opportunities to design software and services in a more agile fashion. This course is a basis for discovering the most important DevOps concepts and to understand the principles and methods behind this. The course will leave you with the inspiration to be the advocate of change. What will you learn Explain DevOps principles. Describe the relationship between Agile , Lean and IT Service Management ( ITSM). Describe methods for automation and technology factors. Describe considerations when changing. Describe challenges, risks and critical success factors. DevOps demystifieds training course details Who will benefit: Non-technical staff involved with DevOps. Prerequisites: None. Duration 1 day DevOps demystified training course contents Why DevOps? From a business perspective From an IT perspective Stereotypes of Dev and Ops: perception and reality What is DevOps? Introduction DevOps Goals DevOps Added value of DevOps Proven Results DevOps for businesses DevOps principles (The Three Ways) DevOps and other frameworks DevOps and Agile DevOps and Lean DevOps and IT Service Management DevOps culture Characteristics of a DevOps culture Organizational Considerations DevOps DevOps stakeholders DevOps roles DevOps teams DevOps organizational structures DevOps methods Continuous Integration Continuous delivery Continuous deployment Value stream mapping Kanban Theory of Constraints Improvement Kata Deming's quality circle ITSM processes DevOps and Automation Methods for DevOps automation Longevity and tools categories DevOps applications Transitioning to a DevOps culture Implementation Challenges, risks and critical success factors Measuring DevOps successes

Duration 1 Days 6 CPD hours This course is intended for Individuals responsible for articulating the technical benefits of AWS services Individuals interested in learning how to get started with using AWS SysOps Administrators, Solution Architects and Developers interested in using AWS services Overview Recognize terminology and concepts as they relate to the AWS platform and navigate the AWS Management Console. Understand the foundational services, including Amazon Elastic Compute Cloud (EC2), Amazon Virtual Private Cloud (VPC), Amazon Simple Storage Service (S3), and Amazon Elastic Block Store (EBS). Understand the security measures AWS provides and key concepts of AWS Identity and Access Management (IAM). Understand AWS database services, including Amazon DynamoDB and Amazon Relational Database Service (RDS). Understand AWS management tools, including Auto Scaling, Amazon CloudWatch, Elastic Load Balancing (ELB), and AWS Trusted Advisor. AWS Technical Essentials introduces you to AWS services, and common solutions. It provides you with fundamental knowledge to become more proficient in identifying AWS services. It helps you make informed decisions about IT solutions based on your business requirements and get started working on AWS. Prerequisites Working knowledge of distributed systems Familiarity with general networking concepts Working knowledge of multi-tier architectures Familiarity with cloud computing concepts 1 - AWS introduction and history AWS Global Infrastructure Demonstration: AWS Management Console 2 - AWS Storage Identify key AWS storage options Describe Amazon EBS Create an Amazon S3 bucket and manage associated objects 3 - Compute, network and storage services Amazon Elastic Compute Cloud (EC2) Amazon Virtual Private Cloud (VPC) Amazon Simple Storage Service (S3) Amazon Elastic Block Store (EBS) Demonstration: Amazon Simple Storage Service (S3) Hands-on lab: Build your VPC and launch a web server 4 - AWS Security, AWS Identity and Access Management (IAM) AWS Identity and Access Management (IAM) Demonstration: AWS Identity and Access Management (IAM) 5 - Compute Services & Networking Identify the different AWS compute and networking options Describe an Amazon Virtual Private Cloud (VPC) Create an Amazon EC2 instance Use Amazon EBS with Amazon EC2 6 - Managed Services & Database Describe Amazon DynamoDB Understand key aspects of Amazon RDS Launch an Amazon RDS instance 7 - Databases (RDS, DynamoDB) SQL and NoSQL databases Data storage considerations Hands-on lab: Build your database server and connect to it 8 - AWS elasticity and management tools Auto scaling Load balancing Cloud Watch Trusted Advisor Hands-on lab: Scale and load balance your architecture 9 - Deployment and Management Identify what is CloudFormation Describe Amazon CloudWatch metrics and alarms Describe Amazon Identity and Access Management (IAM)

Course Overview: This course provides a comprehensive introduction to cryptocurrencies, blockchain technology, and their broader implications in the financial world. Learners will gain an understanding of how cryptocurrencies work, the underlying technology of blockchain, and the variety of available cryptocurrencies. The course also explores the future potential of cryptocurrencies, including opportunities in decentralised finance (DeFi) and NFTs. Upon completion, learners will be equipped with the knowledge to navigate the rapidly evolving cryptocurrency market, make informed investment decisions, and understand the legal landscape in the UK. Course Description: This course covers a wide range of topics essential to understanding the world of cryptocurrencies. Learners will delve into the fundamentals of cryptocurrencies and blockchain technology, exploring how decentralised systems work. The course introduces various types of cryptocurrencies, their uses, and the role of NFTs in the digital space. Learners will also cover the critical aspects of cryptocurrency wallets, security measures, and how decentralised finance is reshaping financial systems. The course also includes modules on cryptocurrency investment strategies and the evolving legal frameworks in the UK. By the end of the course, learners will have a solid understanding of the cryptocurrency ecosystem and its future trajectory. Course Modules: Module 01: The Fundamentals of Cryptocurrencies Module 02: The Blockchain Module 03: Types of Cryptocurrencies Module 04: NFTs Module 05: Cryptocurrency Wallets Module 06: Cryptocurrency Security Module 07: Decentralised Finance Module 08: Investing in Cryptos Module 09: Opportunities and Future of Cryptocurrencies Module 10: Cryptocurrency Laws in the UK (See full curriculum) Who is this course for? Individuals seeking to understand the basics of cryptocurrencies Professionals aiming to expand their knowledge in blockchain technology Beginners with an interest in digital finance and investment opportunities Anyone looking to stay informed about future trends in cryptocurrency Career Path: Cryptocurrency Analyst Blockchain Developer DeFi Specialist Investment Advisor (Cryptocurrencies) Financial Consultant Legal Advisor for Cryptocurrency Regulations

Overview This comprehensive course on JavaScript Project - Game Development with JS will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This JavaScript Project - Game Development with JS comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast-track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this JavaScript Project - Game Development with JS. It is available to all students, of all academic backgrounds. Requirements Our JavaScript Project - Game Development with JS is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 2 sections • 12 lectures • 01:45:00 total length •Introduction to Beware of the Jolly Roger: 00:03:00 •Creating the HTML File: 00:12:00 •Adding CSS to it: 00:13:00 •Understanding Math Random: 00:12:00 •Adding Javascript: 00:05:00 •Calling the Function: 00:10:00 •Clicked on 10 Flags: 00:10:00 •Jolly Roger: 00:11:00 •Win or Lose: 00:06:00 •Flag is Displayed: 00:03:00 •Understanding Arrays: 00:12:00 •Different Flag Opening at Every Click: 00:08:00

Do you want to become a highly sought-after environmental consultant in a world driven by climate accountability, sustainability, and infrastructure? 🌍 The Environmental Consultant: 8-in-1 Premium Online Courses Bundle was designed to supercharge your credibility across eight critical domains—site management, fire safety, environmental management, greenhouse, floristry, architecture, town planning, and land surveying. Every keyword in this bundle—site management, fire safety, environmental management, greenhouse, floristry, architecture, town planning, and land surveying—is a career catalyst. These are the exact capabilities employers, councils, NGOs, and consultancies are screening for in 2025 and beyond. Hiring managers want land surveying knowledge. Clients expect environmental management clarity. Governments demand town planning compliance. Even industries like construction, agriculture, and design are prioritising fire safety, greenhouse, and architecture awareness in their sustainability protocols. If you’re not certified in site management, greenhouse, floristry, or environmental management today, you’re leaving money—and job offers—on the table. 📚 Description Let’s get straight to it: this 8-in-1 bundle builds your career narrative. You aren’t just learning fire safety or greenhouse strategy. You’re proving you're ready to work. 💼 Want to consult for a housing developer or eco-project? You’ll need strong footing in site management, land surveying, and architecture. 🌱 Interested in green design or eco-agriculture? Employers will scan your CV for greenhouse, floristry, and environmental management. 🏙️ Prefer urban policy or infrastructure? Town planning, fire safety, and site management are essential. This bundle sets you up for career acceleration across sectors that actually need your knowledge. From councils to commercial projects, from nonprofits to architectural firms, having expert familiarity with site management, fire safety, and town planning creates immediate value for employers. Even if you’re starting from scratch, learning architecture, land surveying, and environmental management in this integrated format saves you time, money, and energy—and gives you a powerfully well-rounded skillset. And yes, every course—from greenhouse to floristry—is included at a fraction of the usual cost. With this bundle, you skip the unnecessary costs and go straight to employability. ❓ FAQ Q: What industries can I apply to with this bundle? A: Environmental consultancy, landscape architecture, town planning, infrastructure, land surveying, construction, horticulture, and fire safety compliance—all of which value keywords like site management, environmental management, greenhouse, and fire safety. Q: Is this a recognised training pathway? A: Absolutely. The bundle delivers employer-desired training in architecture, town planning, floristry, and more. It enhances your hireability across multiple sectors. Q: Can I access it from anywhere? A: Yes—every course from land surveying to fire safety is fully online and accessible anytime.

Unlock the doors to modern tech careers with the Introduction to App Development: 8-in-1 Premium Online Courses Bundle. Whether you're just starting or pivoting careers, this bundle is your shortcut to job-readiness. Employers are actively searching for candidates with hands-on exposure to Python, Go Lang, UX, Website Development, HTML, Quality Assurance, Minute Taking, and SQL. This bundle ensures your CV hits all the right SEO triggers. If you're aiming to work in software development, QA testing, database management, or even technical coordination, this bundle is designed to get you noticed fast. With skyrocketing demand for professionals skilled in Python, SQL, and Go Lang, you're stepping directly into the hiring pipeline. Time-sensitive offer — get lifetime access now before the enrollment window closes. Compete High has 4.8 on 'Reviews.io' and 4.3 on Trustpilot, so you're joining thousands of students who trust quality. 🧠 Description From UX fundamentals to core logic in Python, this 8-in-1 bundle is built for practical application. Every lesson boosts your visibility to recruiters searching for talents in HTML, Website Development, Go Lang, SQL, and Quality Assurance. If you're applying for entry-level dev, QA, or support roles, having Minute Taking and UX skills signals you're both technically capable and communicatively strong. Every module—from Python to SQL, from HTML to Go Lang—works to make you hireable. Top roles in startups and tech firms expect familiarity with UX design, Website Development, and scripting in Python. Plus, SQL skills are now a must-have even outside data-heavy fields. This isn't just a learning bundle; it's your career launchpad. Add to that essential soft skills like Minute Taking, which are surprisingly underappreciated in the tech world. Combine technical tools like Quality Assurance testing and Go Lang fluency, and you're someone HR wants to interview. ❓ FAQ Q: Will this bundle help me land a job? A: Yes! Each course—Python, SQL, UX, Website Development, HTML, Go Lang, Quality Assurance, and Minute Taking—aligns with in-demand skills for junior developer, tester, or assistant tech roles. Q: Is this beginner friendly? A: Absolutely. If you're new to Python, HTML, or SQL, or unfamiliar with UX and Quality Assurance, the bundle makes your learning curve smoother. Q: Is this bundle worth the price? A: You're getting 8 top-tier job-aligned skills for one price—less than a single traditional course. With employers valuing Go Lang, Python, SQL, and UX, the ROI is enormous.

This course will help you become familiar with the implementation of creational design patterns. Featuring real-world examples written in modern C++, each pattern is explained in detail to help you to understand how the pattern can be implemented efficiently using language features.

Course Overview: The "FinTech and Big Data Analytics" course provides an in-depth exploration of the dynamic intersection between financial technology (FinTech) and big data. Learners will gain essential knowledge about the innovative solutions disrupting the financial services industry, such as cryptocurrencies, insurtech, and regtech. The course offers insights into the tools, technologies, and trends shaping the future of finance, with a specific focus on how big data analytics is transforming business models and decision-making. By the end of the course, learners will have a comprehensive understanding of FinTech's growth and its applications, enabling them to make informed decisions in this rapidly evolving field. Course Description: This course delves deeper into the core concepts of financial technology and big data, exploring the impact of FinTech innovations on traditional financial systems. Topics covered include the rise of cryptocurrencies, regulatory technology (RegTech), the development of insurance technologies (InsurTech), and the use of big data in reshaping business strategies. Learners will explore the key technologies that drive FinTech, such as blockchain, artificial intelligence (AI), and machine learning, and learn how they enable data-driven decision-making in finance. The course prepares learners for the evolving future of FinTech, equipping them with the necessary skills to understand and navigate this transformative landscape. Course Modules: Module 01: Introduction to Financial Technology – FinTech Module 02: Exploring Cryptocurrencies Module 03: RegTech Module 04: Rise of InsurTechs Module 05: Big Data Basics: Understanding Big Data Module 06: The Future of FinTech (See full curriculum) Who is this course for? Individuals seeking to understand the financial technology landscape. Professionals aiming to advance their careers in the rapidly evolving FinTech sector. Beginners with an interest in emerging financial technologies and data analytics. Entrepreneurs looking to innovate within the financial services industry. Career Path: Financial Analyst FinTech Specialist Data Analyst in Financial Services Blockchain Developer RegTech Consultant InsurTech Specialist Big Data Analyst in Finance

Delve into the world of data analysis with 'R Programming for Data Science,' a course designed to guide learners through the intricacies of R, a premier programming language in the data science domain. The course opens with a broad perspective on data science, illuminating the pivotal role of R in this field. Learners are then introduced to R and RStudio, equipping them with the foundational tools and interfaces essential for R programming. The curriculum progresses with an introduction to the basics of R, ensuring learners grasp the core principles that underpin more complex operations. A highlight of this course is its in-depth exploration of R's versatile data structures, including vectors, matrices, factors, and data frames. Each unit is crafted to provide learners with a comprehensive understanding of these structures, pivotal for effective data handling and manipulation. The course also emphasizes the importance of relational and logical operators in R, key elements for executing data operations. As the course advances, learners will engage with the nuances of conditional statements and loops, essential for writing efficient and dynamic R scripts. Moving into more advanced territories, the course delves into the creation and usage of functions, an integral part of R programming, and the exploration of various R packages that extend the language's capabilities. Learners will also gain expertise in the 'apply' family of functions, crucial for streamlined data processing. Further units cover regular expressions and effective strategies for managing dates and times in data sets. The course concludes with practical applications in data acquisition, cleaning, visualization, and manipulation, ensuring learners are well-prepared to tackle real-world data science challenges using R. Learning Outcomes Develop a foundational understanding of R's role in data science and proficiency in RStudio. Gain fluency in R programming basics, enabling the handling of complex data tasks. Acquire skills in managing various R data structures for efficient data analysis. Master relational and logical operations for advanced data manipulation in R. Learn to create functions and utilize R packages for expanded analytical capabilities. Why choose this R Programming for Data Science course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this R Programming for Data Science course for? Beginners in data science eager to learn R programming. Data analysts and scientists looking to enhance their skills in R. Researchers in various fields requiring advanced data analysis tools. Statisticians seeking to adopt R for more sophisticated data manipulations. Professionals in finance, healthcare, and other sectors needing data-driven insights. Career path Data Scientist (R Expertise): £30,000 - £70,000 Data Analyst (R Programming Skills): £27,000 - £55,000 Bioinformatics Scientist (R Proficiency): £35,000 - £60,000 Quantitative Analyst (R Knowledge): £40,000 - £80,000 Research Analyst (R Usage): £25,000 - £50,000 Business Intelligence Developer (R Familiarity): £32,000 - £65,000 Prerequisites This R Programming for Data Science does not require you to have any prior qualifications or experience. You can just enrol and start learning.This R Programming for Data Science was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Data Science Overview Introduction to Data Science 00:01:00 Data Science: Career of the Future 00:04:00 What is Data Science? 00:02:00 Data Science as a Process 00:02:00 Data Science Toolbox 00:03:00 Data Science Process Explained 00:05:00 What's next? 00:02:00 Unit 02: R and RStudio Engine and coding environment 00:03:00 Installing R and RStudio 00:04:00 RStudio: A quick tour 00:04:00 Unit 03: Introduction to Basics Arithmetic with R 00:03:00 Variable assignment 00:04:00 Basic data types in R 00:03:00 Unit 04: Vectors Creating a vector 00:05:00 Naming a vector 00:04:00 Arithmetic calculations on vectors 00:07:00 Vector selection 00:06:00 Selection by comparison 00:04:00 Unit 05: Matrices What's a Matrix? 00:02:00 Analyzing Matrices 00:03:00 Naming a Matrix 00:05:00 Adding columns and rows to a matrix 00:06:00 Selection of matrix elements 00:03:00 Arithmetic with matrices 00:07:00 Additional Materials 00:00:00 Unit 06: Factors What's a Factor? 00:02:00 Categorical Variables and Factor Levels 00:04:00 Summarizing a Factor 00:01:00 Ordered Factors 00:05:00 Unit 07: Data Frames What's a Data Frame? 00:03:00 Creating Data Frames 00:20:00 Selection of Data Frame elements 00:03:00 Conditional selection 00:03:00 Sorting a Data Frame 00:03:00 Additional Materials 00:00:00 Unit 08: Lists Why would you need lists? 00:01:00 Creating a List 00:06:00 Selecting elements from a list 00:03:00 Adding more data to the list 00:02:00 Additional Materials 00:00:00 Unit 09: Relational Operators Equality 00:03:00 Greater and Less Than 00:03:00 Compare Vectors 00:03:00 Compare Matrices 00:02:00 Additional Materials 00:00:00 Unit 10: Logical Operators AND, OR, NOT Operators 00:04:00 Logical operators with vectors and matrices 00:04:00 Reverse the result: (!) 00:01:00 Relational and Logical Operators together 00:06:00 Additional Materials 00:00:00 Unit 11: Conditional Statements The IF statement 00:04:00 IFELSE 00:03:00 The ELSEIF statement 00:05:00 Full Exercise 00:03:00 Additional Materials 00:00:00 Unit 12: Loops Write a While loop 00:04:00 Looping with more conditions 00:04:00 Break: stop the While Loop 00:04:00 What's a For loop? 00:02:00 Loop over a vector 00:02:00 Loop over a list 00:03:00 Loop over a matrix 00:04:00 For loop with conditionals 00:01:00 Using Next and Break with For loop 00:03:00 Additional Materials 00:00:00 Unit 13: Functions What is a Function? 00:02:00 Arguments matching 00:03:00 Required and Optional Arguments 00:03:00 Nested functions 00:02:00 Writing own functions 00:03:00 Functions with no arguments 00:02:00 Defining default arguments in functions 00:04:00 Function scoping 00:02:00 Control flow in functions 00:03:00 Additional Materials 00:00:00 Unit 14: R Packages Installing R Packages 00:01:00 Loading R Packages 00:04:00 Different ways to load a package 00:02:00 Additional Materials 00:00:00 Unit 15: The Apply Family - lapply What is lapply and when is used? 00:04:00 Use lapply with user-defined functions 00:03:00 lapply and anonymous functions 00:01:00 Use lapply with additional arguments 00:04:00 Additional Materials 00:00:00 Unit 16: The apply Family - sapply & vapply What is sapply? 00:02:00 How to use sapply 00:02:00 sapply with your own function 00:02:00 sapply with a function returning a vector 00:02:00 When can't sapply simplify? 00:02:00 What is vapply and why is it used? 00:04:00 Additional Materials 00:00:00 Unit 17: Useful Functions Mathematical functions 00:05:00 Data Utilities 00:08:00 Additional Materials 00:00:00 Unit 18: Regular Expressions grepl & grep 00:04:00 Metacharacters 00:05:00 sub & gsub 00:02:00 More metacharacters 00:04:00 Additional Materials 00:00:00 Unit 19: Dates and Times Today and Now 00:02:00 Create and format dates 00:06:00 Create and format times 00:03:00 Calculations with Dates 00:03:00 Calculations with Times 00:07:00 Additional Materials 00:00:00 Unit 20: Getting and Cleaning Data Get and set current directory 00:04:00 Get data from the web 00:04:00 Loading flat files 00:03:00 Loading Excel files 00:05:00 Additional Materials 00:00:00 Unit 21: Plotting Data in R Base plotting system 00:03:00 Base plots: Histograms 00:03:00 Base plots: Scatterplots 00:05:00 Base plots: Regression Line 00:03:00 Base plots: Boxplot 00:03:00 Unit 22: Data Manipulation with dplyr Introduction to dplyr package 00:04:00 Using the pipe operator (%>%) 00:02:00 Columns component: select() 00:05:00 Columns component: rename() and rename_with() 00:02:00 Columns component: mutate() 00:02:00 Columns component: relocate() 00:02:00 Rows component: filter() 00:01:00 Rows component: slice() 00:04:00 Rows component: arrange() 00:01:00 Rows component: rowwise() 00:02:00 Grouping of rows: summarise() 00:03:00 Grouping of rows: across() 00:02:00 COVID-19 Analysis Task 00:08:00 Additional Materials 00:00:00 Assignment Assignment - R Programming for Data Science 00:00:00

Duration 5 Days 30 CPD hours This course is intended for This course is designed for experienced integration specialists and senior-level developers with experience in application development, messaging middleware applications, and transport protocols such as HTTP and FTP. Overview Describe the features and uses of IBM App Connect Enterprise Develop, deploy, and test message flow applications Generate message flow applications from predefined patterns Use the IBM App Connect Enterprise Toolkit problem determination aids to diagnose and solve development and runtime errors Describe the function and appropriate use of IBM App Connect Enterprise processing nodes Write basic Extended Structured Query Language and Java programs to transform data Use the IBM Graphical Data Mapping editor to transform data Define, use, and test simple XML and Data Format Description Language (DFDL) data models Describe supported transport protocols and how to call them in message flows IBM App Connect Enterprise provides connectivity and universal data transformation in heterogeneous IT environments. It enables businesses of any size to eliminate point-to-point connections and batch processing, regardless of operating system, protocol, and data format. This course teaches you how to use IBM App Connect Enterprise to develop, deploy, and support message flow applications. These applications use various messaging topologies to transport messages between service requesters and service providers, and allow the messages to be routed, transformed, and enriched during processing. In this course, you learn how to construct applications to transport and transform data. The course explores how to control the flow of data by using various processing nodes, and how to use databases and maps to transform and enrich data during processing. You also learn how to construct data models by using the Data Format Description Language (DFDL) Course Outline Introduction to IBM App Connect Enterprise Application development fundamentals Exercise: Importing and testing a message flow Creating message flow applications Exercise: Creating a message flow application Connecting to IBM MQ Exercise: Connecting to IBM MQ Controlling the flow of messages Exercise: Adding flow control to a message flow application Modeling the data Exercise: Creating a DFDL model Processing file data Exercise: Processing file data Using problem determination tools and help resources Exercise: Using problem determination tools Exercise: Implementing explicit error handling Mapping messages with the Graphical Data Mapping editor Referencing a database in a message flow application Exercise: Referencing a database in a map Using Compute nodes to transform messages Exercise: Transforming data by using the Compute and JavaCompute nodes Processing JMS, HTTP, and web service messages Preparing for production Exercise: Creating a runtime-aware message flow Additional course details: Nexus Humans WM668G IBM App Connect Enterprise V11 Application Development 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 WM668G IBM App Connect Enterprise V11 Application Development 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.