Duration 2 Days 12 CPD hours This course is intended for Solutions architects, Software engineers, Operations leads, and IT project managers. Overview Recognize the common business and technical drivers for migrating to the cloud Summarize the three phases of a migration and associated objectives, tasks, and stakeholders for each Describe AWS architecture, tools, and migration best practices Distinguish between the various cloud migration strategies and when each is most appropriate Determine an organization?s application migration readiness Discover a portfolio and gather data necessary for migration Plan and design an application migration strategy Perform and validate application migration to the cloud Optimize applications and operations after migrating to the cloud This course is for individuals who seek an understanding of how to plan and migrate existing workloads to the AWS Cloud. You will learn about various cloud migration strategies and how to apply each step of the migration process, including portfolio discovery, application migration planning and design, conducting a migration, and post-migration validation and application optimization. Hands-on labs reinforce learning, and each lab is designed to provide you with the understanding and foundation necessary to complete migration tasks in your organization. Prerequisites We recommend that attendees of this course have: Familiarity with enterprise IT infrastructure (hardware and software) Completed the AWS Technical Essentials or Architecting on AWS training 1 - What Is a Cloud Migration? Summarize the drivers and desired outcomes of a cloud migration Identify the elements of a successful migration journey Describe the three-phase AWS migration process 2 - Assessing Migration Readiness Summarize the activities and goals of the assess phase Evaluate tools for assessing your organization?s cloud readiness Describe Migration Readiness Assessments (MRAs) and their importance 3 - Preparing for a Migration and Understanding Related Workstreams Summarize the mobilize phase of the process Discuss the eight unique migration-related workstreams 4 - Discovering Landing Zones and Their Benefits Explain the function of a landing zone Discuss best practices for creating a custom landing zone Describe how you would use AWS Control Tower to create a landing zone 5 - Building a Landing Zone Summarize the process of building a landing zone Determine the best multi-account structure, governance policies, and connectivity plan for a landing zone 6 - Discovering the Portfolio and Understanding Migration Strategies Explain the activities of the detailed portfolio discovery workstream Describe how to assess an application?s migration readiness Summarize the seven migration strategies 7 - Understanding and Choosing Portfolio Discovery Tools Summarize the various discovery tools available Distinguish which tools are best to use based on scenario 8 - Planning and Designing a Migration Describe the planning and design process Summarize how to set up a migration factory Choose and finalize an application migration strategy 9 - Performing the Migration to AWS Explain the server migration process Discuss the various migration automation and governance tools available Evaluate server migration tools for compatibility with your environment 10 - Understanding Database and Data Migration Services Summarize the significance of database and data migration Discuss the various data migration tools available 11 - Understanding Additional Migration Support Options Discuss additional migration support options Summarize AWS Managed Services and AWS Marketplace Describe SAP on AWS and services offered for Windows 12 - Integrating, Validating, and Cutting Over Applications Discuss the process and benefits of integrating, validating, and cutting over applications 13 - Modernizing and Optimizing an Application Migration Identify post-migration opportunities for modernization and optimization Understand cost and security optimization processes Explore tools available to support these processes 14 - Understanding Operations Tools, Integration Testing, and Automation Summarize operations in the cloud Discuss four functions of operations and their domains Review operations automation and relevant support tools 15 - Migration Best Practices Course review and key takeaways Summarize and reinforce AWS best practices for migrating Additional course details: Nexus Humans Migrating to AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Migrating to AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Duration 5 Days 30 CPD hours This course is intended for This intermediate and beyond level course is geared for experienced technical professionals in various roles, such as developers, data analysts, data engineers, software engineers, and machine learning engineers who want to leverage Scala and Spark to tackle complex data challenges and develop scalable, high-performance applications across diverse domains. Practical programming experience is required to participate in the hands-on labs. Overview Working in a hands-on learning environment led by our expert instructor you'll: Develop a basic understanding of Scala and Apache Spark fundamentals, enabling you to confidently create scalable and high-performance applications. Learn how to process large datasets efficiently, helping you handle complex data challenges and make data-driven decisions. Gain hands-on experience with real-time data streaming, allowing you to manage and analyze data as it flows into your applications. Acquire practical knowledge of machine learning algorithms using Spark MLlib, empowering you to create intelligent applications and uncover hidden insights. Master graph processing with GraphX, enabling you to analyze and visualize complex relationships in your data. Discover generative AI technologies using GPT with Spark and Scala, opening up new possibilities for automating content generation and enhancing data analysis. Embark on a journey to master the world of big data with our immersive course on Scala and Spark! Mastering Scala with Apache Spark for the Modern Data Enterprise is a five day hands on course designed to provide you with the essential skills and tools to tackle complex data projects using Scala programming language and Apache Spark, a high-performance data processing engine. Mastering these technologies will enable you to perform a wide range of tasks, from data wrangling and analytics to machine learning and artificial intelligence, across various industries and applications.Guided by our expert instructor, you?ll explore the fundamentals of Scala programming and Apache Spark while gaining valuable hands-on experience with Spark programming, RDDs, DataFrames, Spark SQL, and data sources. You?ll also explore Spark Streaming, performance optimization techniques, and the integration of popular external libraries, tools, and cloud platforms like AWS, Azure, and GCP. Machine learning enthusiasts will delve into Spark MLlib, covering basics of machine learning algorithms, data preparation, feature extraction, and various techniques such as regression, classification, clustering, and recommendation systems. Introduction to Scala Brief history and motivation Differences between Scala and Java Basic Scala syntax and constructs Scala's functional programming features Introduction to Apache Spark Overview and history Spark components and architecture Spark ecosystem Comparing Spark with other big data frameworks Basics of Spark Programming SparkContext and SparkSession Resilient Distributed Datasets (RDDs) Transformations and Actions Working with DataFrames Spark SQL and Data Sources Spark SQL library and its advantages Structured and semi-structured data sources Reading and writing data in various formats (CSV, JSON, Parquet, Avro, etc.) Data manipulation using SQL queries Basic RDD Operations Creating and manipulating RDDs Common transformations and actions on RDDs Working with key-value data Basic DataFrame and Dataset Operations Creating and manipulating DataFrames and Datasets Column operations and functions Filtering, sorting, and aggregating data Introduction to Spark Streaming Overview of Spark Streaming Discretized Stream (DStream) operations Windowed operations and stateful processing Performance Optimization Basics Best practices for efficient Spark code Broadcast variables and accumulators Monitoring Spark applications Integrating External Libraries and Tools, Spark Streaming Using popular external libraries, such as Hadoop and HBase Integrating with cloud platforms: AWS, Azure, GCP Connecting to data storage systems: HDFS, S3, Cassandra, etc. Introduction to Machine Learning Basics Overview of machine learning Supervised and unsupervised learning Common algorithms and use cases Introduction to Spark MLlib Overview of Spark MLlib MLlib's algorithms and utilities Data preparation and feature extraction Linear Regression and Classification Linear regression algorithm Logistic regression for classification Model evaluation and performance metrics Clustering Algorithms Overview of clustering algorithms K-means clustering Model evaluation and performance metrics Collaborative Filtering and Recommendation Systems Overview of recommendation systems Collaborative filtering techniques Implementing recommendations with Spark MLlib Introduction to Graph Processing Overview of graph processing Use cases and applications of graph processing Graph representations and operations Introduction to Spark GraphX Overview of GraphX Creating and transforming graphs Graph algorithms in GraphX Big Data Innovation! Using GPT and Generative AI Technologies with Spark and Scala Overview of generative AI technologies Integrating GPT with Spark and Scala Practical applications and use cases Bonus Topics / Time Permitting Introduction to Spark NLP Overview of Spark NLP Preprocessing text data Text classification and sentiment analysis Putting It All Together Work on a capstone project that integrates multiple aspects of the course, including data processing, machine learning, graph processing, and generative AI technologies.
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
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Courses Are Included In This Software Engineering: Software Programming, Web Design & Development Bundle: Course 01: C# Programming - Beginner to Advanced Course 02: C++ Development: The Complete Coding Guide Course 03: JavaScript Fundamentals Course 04: Refactor JavaScript Course 05: Node.JS: API Development with Swagger Course 06: Three.js & WebGL 3D Programming Course 07: Python Programming Bible Course 08: Machine Learning with Python Course Course 09: Data Science and Visualisation with Machine Learning Course 10: Project on Deep Learning - Artificial Neural Network Course 11: Penetration Testing with OWASP ZAP Course 12: HTML Web Development Crash Course Course 13: CSS Web Development Course 14: Advanced Diploma in PHP Web Development with MySQL, GitHub & Heroku Course 15: Advanced SAS Programming Using MacrosSQL Course 16: Diploma in User Experience UI/UX Design (Advanced) Course 17: Basics of WordPress: Create Unlimited Websites Course 18: Using WordPress for Affiliate Marketing Course 19: WordPress 5.0 for Beginners to Advanced Course 20: WordPress and SEO Online Course Course 21: How To Build Easy Drag & Drop Landing Pages With WordPress Course 22: Make a WordPress WooCommerce Amazon Affiliate Store Course 23: WordPress Security Mastery Course 24: How To Build a WordPress Membership Site With Memberpress Course 25: Bootstrap - Responsive Web Design Course 26: Masterclass Bootstrap 5 Course - Responsive Web Design Course 27: ASP.Net MVC and Entity Framework Course 28: .NET Core API Development Course 29: How To Startup Your Own SaaS (Software As a Service) Company (SaaS Evolution) Course 30: Basic Jira and Confluence Don't just dream about creating the next big software innovation-make it a reality. Upgrade your skills with the Software Engineering: Computer Programming, Web Design & Development course bundle and attempt to succeed in the fast-paced world of technology. Enrol today and start your journey towards becoming a pivotal player in the tech industry! Learning Outcomes of this Bundle: Master programming fundamentals in C#, C++, JavaScript, and Python. Develop comprehensive web applications using HTML, CSS, PHP, and WordPress. Implement advanced web designs with Bootstrap for responsive layouts. Utilise Python for machine learning and data visualisation projects. Learn security practices and penetration testing with OWASP ZAP. Design and deploy dynamic user interfaces with advanced UI/UX principles. Why Prefer this Course? Get a Free QLS Endorsed Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! The "Software Engineering: Computer Programming, Web Design & Development" course bundle is especially designed to empower learners with the skills required to excel in the tech industry. By mastering programming fundamentals in diverse languages such as C#, C++, JavaScript, and Python, participants will gain a robust foundation in coding principles that are applicable across a variety of development environments. This foundational knowledge is crucial for troubleshooting and innovating within the rapidly evolving landscape of technology. Beyond technical skills, the course also focuses on applying Python for Machine Learning and Data Visualisation projects, providing a competitive edge in fields like Data Science and Artificial Intelligence. Security practices and Penetration Testing with tools like OWASP ZAP further prepare learners to secure applications against potential threats. By completing this bundle, participants will not only enhance their coding and web development abilities but also acquire valuable skills in Security and UI/UX Design, making them well-rounded professionals ready for various challenges in the tech industry. Moreover, this diploma offers learners the opportunity to acquire a Recognised Qualification that is highly valued in the field of Software Engineering. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within the Software Engineering setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to Software Engineering related fields impacting their Software Engineering experiences and long-term development. Course Curriculum Course 01: C# Programming - Beginner to Advanced Module 01: Introduction Module 02: Basics To Get Started Module 03: Logic Module 04: Methods (Basic) Module 05: Classes (Basics) Module 06: Variables (Basic) Module 07: Error Handling Module 08: Useful Methods Module 09: Text (Advanced) Module 10: Classes (Advanced) Module 11: Binary (Advanced) Module 12: Asynchronous (Advanced) Module 13: Search In Objects (Linq) Course 02: C++ Development: The Complete Coding Guide Module 01: Introduction & Setting Up Module 02: Basics Module 03: Operators Module 04: String Streams Module 05: Statements & Loops Module 06: Functions Module 07: Advanced Data Types Module 08: Classes Module 09: Errors Module 10: The Mighty Preprocessor Module 11: File I/O Module 12: Extras Course 03: JavaScript Fundamentals Module 01: Introduction Module 02: Reasons of Employee Resignation Module 03: What is JavaScript? Module 04: Running JS Code Module 05: Variables Module 06: What is Talent Management Module 07: Talent Management – The Pillar of Successful Business Module 08: Comparison Operators Module 09: Responsibilities of Talent Management Manager & Professionals Module 10: Function Module 11: Object Module 12: Methods Module 13: While Loops Module 14: Little Activity Before We Begin Module 15: For Loops Module 16: Arrays Module 17: Welcome to the Course Module 18: Multidimensional Arrays Module 19: Introduction to the DOM API Module 20: Conclusion =========>>>>> And 27 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*30 = £390) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring software developers. Current IT professionals. Web developers. System engineers. Tech enthusiasts. Career changers. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Software Developer: $50,000 - $120,000 Web Developer: $40,000 - $85,000 Front-End Developer: $50,000 - $110,000 Python Developer: $60,000 - $120,000 UI/UX Designer: $55,000 - $100,000 Systems Engineer: $60,000 - $130,000 Certificates CPD Accredited Hard copy certificate Hard copy certificate - Included If you are an international student, you will be required to pay an additional fee of 10 GBP for international delivery, and 4.99 GBP for delivery within the UK, for each certificate CPD Accredited Digital Certificate Digital certificate - Included CPD Accredited e-Certificate - Free Enrolment Letter - Free Student ID Card - Free
SAFe® Agile Software Engineering: In-House Training The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality
SAFe® Agile Software Engineering: Virtual In-House Training The introduction of Lean-Agile and DevOps principles and practices into software engineering has sparked new skills and approaches that help organizations deliver higher-quality, software-centric solutions faster and more predictably. This workshop-oriented course explores foundational principles and practices and how continuous flow of value delivery and built-in quality are enabled by XP technical practices, Behavioral-Driven Development (BDD), and Test-Driven Development (TDD). Attendees will learn proven practices to detail, model, design, implement, verify, and validate stories in the SAFe® Continuous Delivery Pipeline, as well as the practices that build quality into code and designs. Attendees will also explore how software engineering fits into the larger solution context and understand their role in collaborating on intentional architecture and DevOps. What you will Learn To perform the role of a SAFe® Agile Software Engineer, you should be able to: Define Agile Software Engineering and the underlying values, principles, and practices Apply the Test-First principle to create alignment between tests and requirements Create shared understanding with Behavior-Driven Development (BDD) Communicate with Agile modeling Design from context for testability Build applications with code and design quality Utilize the test infrastructure for automated testing Collaborate on intentional architecture and emergent design Apply Lean-Agile principles to optimize the flow of value Create an Agile Software Engineering plan Introduction to Agile Software Engineering Connecting Principles and Practices to Built-in Quality Accelerating Flow Applying Intentional Architecture Thinking Test-First Discovering Story Details Creating a Shared Understanding with Behavior-Driven Development (BDD) Communicating with Models Building Systems with Code Quality Building Systems with Design Quality Implementing with Quality
Getting Started The OTHM Level 7 Diploma in Immersive Software Engineering aims to equip learners with advanced-level knowledge and skills to design, develop, and evaluate immersive software engineering systems. By completing this qualification, learners will acquire the skills to support research and innovation in various domains, such as Web and cloud technologies, Security, Automation, Data analytics, and Project methodologies. The primary objective of this diploma is to develop critical thinking and research skills in learners to identify and address complex problems in the software engineering field. Key Benefits This qualification will bring you many vital benefits, such as; The study program is designed to be both stimulating and challenging, providing learners with a chance to gain essential subject knowledge to help them succeed in further studies or the workforce. The program's content has been updated to match the latest employer and higher education requirements. Assessments evaluate both cognitive and affective skills, along with applied skills. Learners will develop valuable knowledge and academic skills, including active research, effective writing and analysis, creative problem-solving, decision-making, and digital literacy. Key Highlights Are you aspiring to become a Software Developer? Then, the OTHM Level 7 Diploma in Immersive Software Engineering program offered by the School of Business and Technology London is the right solution for you. Remember! The assessment for the qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our OTHM-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 7 Diploma in Immersive Software Engineering can open many career pathways including, but not limited to: Chief technology officer; Est. Salary £1,41,489 per annum Senior software engineer; Est. Salary £55,913 per annum Junior software engineer; Est. Salary £25,904 per annum Team Leader; Est. salary £27,903 per annum About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Security Engineering Reference No : Unit 1 - F/650/7994 Credit : 20 || TQT : 200 Hours This unit teaches secure software development, system hardening, authentication, encryption, network security, and web application architecture. UNIT2- Software Programming Principles and Practices in Java I Reference No : Unit 2 - H/650/7995 Credit : 20 || TQT : 200 Hours This unit teaches learners about programming languages, including what it is, how it works, and how to interact with computers. Learners will learn the basics through real-world coding examples and regular coding assignments. UNIT3- Agile Project Management Reference No : Unit 3 - J/650/7996 Credit : 20 || TQT : 200 Hours This unit covers project management, Scrum, and Kanab for IT product development. Build products iteratively and optimize value flow for customers. UNIT4- Cloud Computing & DevOps Reference No : Unit 4 - K/650/7997 Credit : 20 || TQT : 200 Hours This unit teaches cloud computing, DevOps, and various cloud models (IaaS, PaaS, SaaS), including different cloud services. UNIT5- Database & SQL Programming Reference No : Unit 5 - L/650/7998 Credit : 20 || TQT : 200 Hours The unit teaches learners the limitations of traditional storage systems, how modern relational databases overcome these challenges, and programming skills to communicate with databases using SQL. UNIT6- Web Designing Reference No : Unit 6 - M/650/7999 Credit : 20 || TQT : 200 Hours This course teaches learners to create HTML, CSS, and JavaScript web pages. Design sites, use styles, tables, lists, and HTML user input properties, and learn JavaScript basics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.
24-Hour Flash Sale! Prices Reduced Like Never Before!! Get ready to dive into the thriving heart of the 21st-century tech landscape. The UK's tech industry, employing over 1.6 million professionals, is a powerhouse of opportunity, continuously seeking skilled software engineers and web developers to innovate and elevate digital platforms. With the "Software Engineering: Software and Web Development" bundle, you get a chance to join a transformative educational journey designed to convert beginners into in-demand professionals. This is your gateway and the perfect launchpad to mastering the digital tools that shape the modern world! This comprehensive course bundle systematically builds your skills from the ground up. It begins with a Diploma in Complete Web Development, guiding you through the creation of responsive websites using HTML, CSS, and Bootstrap. As you progress, delve into programming with Ultimate Python Training, and master JavaScript, C#, and more. The curriculum extends into specialised areas such as Mobile and Web Development, SQL Training, and strategies for launching your own SaaS company. This Software Engineering: Software and Web Development bundle consists of the following courses: Course 01: Diploma in Complete Web Development at QLS Level 5 Course 02: Python For Beginners Part 1 Course 03: Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML Course 04: Diploma in Front-End Web Development (HTML, CSS, & Bootstrap) Course 05: Mobile and Web Development Course 06: Web Application Penetration Testing Course Course 07: C# Basics Course 08: SQL Training Course 09: How To Startup Your Own SaaS (Software As a Service) Company (SaaS Evolution) Step into a promising career in software and web development with our expertly tailored course bundle. With state-of-the-art training that aligns with current industry demands, your dream job is just a course away. Enrol now and begin your journey to becoming a pivotal figure in the tech revolution! Learning Outcomes of this Bundle: Master foundational programming concepts with Python, C#, and Javascript. Craft captivating user interfaces using HTML, CSS, and Bootstrap. Develop interactive web applications for desktop and mobile. Safeguard web systems through ethical penetration testing techniques. Launch your own software venture with SaaS business strategies. Manage and manipulate data effectively with SQL. Enrol now and unlock your potential in Software and Web Development. Why Prefer this Course? Get a Free QLS Endorsed & CPD Accredited Certificate upon completion of the course Get a Free Student ID Card with this training program (£10 postal charge will be applicable for international delivery) The course is Affordable and Simple to understand Get Lifetime Access to the course materials The training program comes with 24/7 Tutor Support Start your learning journey straight away! Moreover, this diploma offers learners the opportunity to acquire skills that are highly valued in the field of Software Engineering. With this Certification, graduates are better positioned to pursue career advancement and higher responsibilities within the Software Engineering setting. The skills and knowledge gained from this course will enable learners to make meaningful contributions to Software Engineering-related fields, impacting their Software Engineering experiences and long-term development. Course Curriculum Course 01: Diploma in Complete Web Development at QLS Level 5 Module 01: HTML 5 Module 02: CSS 3 Module 03: Bootstrap Module 04: Project 1 - Design a Landing Page Module 05: Project 2 - Business Website Module 06: Project 3 - Portfolio Course 02: Python For Beginners Part 1 Module 01: Introduction to the Python for Beginners Course Module 02: Getting Started with Python Module 03: Data Types and Operators Module 04: Data Structures Module 05: Control Flow Course 03: Coding Essentials - Javascript, ASP. Net, C# - Bonus HTML Module 01: Introduction Module 02: HTML Module 03: HTML Basic Module 04: HTML Intermediate Module 05: HTML Advanced Module 06: JavaScript Introduction Module 07: JavaScript Basics Module 08: JavaScript Operators Module 09: JavaScript Conditional Statements Module 10: JavaScript Control Flow Statements Module 11: JavaScript Functions Module 12: JavaScript Error Handling Module 13: JavaScript Client-Side Validations Module 14: C# Introduction Module 15: C# Basic Module 16: C# Operators Module 17: C# Statements Module 18: C# Control Flow Statements Module 19: C# Built-In Coding Module 20: C# Debugging Techniques Module 21: C# Object-Oriented Programming [OOPs] Module 22: C# Methods Module 23: C# Class Encapsulation Module 24: C# Inheritance And Polymorphism Module 25: C# Abstract And Interfaces Module 26: C# Error Handling Techniques =========>>>>> And 27 More Courses <<<<<========= How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*30 = £390) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £119) CPD 230 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: Aspiring software developers Budding web designers Future tech entrepreneurs IT professionals expanding skills Students in tech fields Career switchers to tech Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Software Developer: £30,000 - £70,000 Web Developer: £25,000 - £55,000 Front-End Developer: £30,000 - £50,000 SQL Database Administrator: £30,000 - £60,000 Penetration Tester: £35,000 - £70,000 Certificates CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free. CPD Accredited Hard Copy Certificate Hard copy certificate - £29.99 Please note that International students have to pay an additional £10 as a shipment fee. Diploma in Complete Web Development at QLS Level 5 Hard copy certificate - £119 Please note that International students have to pay an additional £10 as a shipment fee.