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SAP Courses Overview SAP is one of the largest ERP(Enterprise Resource Planning) software in the world. It provides end to end solution for Financials, Manufacturing, Logistics, Distributions etc. SAP applications, built around their latest R/3 system, provide the capability to manage financial, asset, and cost accounting, production operations and materials, personnel, plants, and archived documents. The R/3 system runs on a number of platforms including Windows and MAC and uses the client/server model. SAP Business Cases/ Live Project Our SAP training courses are designed in a way which gives the students maximum exposure of real-life scenario through no of business cases and guidance on implementation by professional SAP Consultants. Certificate of Attendance- You receive a certificate once you finish the course from Osborne Training,  SAP Certification During the training, you get access to the SAP sandbox which continues even after training finishes until the completion of the Internship. You can also do an external exam to receive certification from SAP (Optional), for details on exam booking you may visit the SAP website. SAP Training Modules Available Financial & Controlling (FICO) High-Performance Analytic Appliance (HANA) Supply Relationship Management (SRM) Customer Relationship Management (CRM) Free SAP Access Free SAP Sandbox Access provided for 6 months so that you can practice even after your SAP training course.

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This Business English tutoring course is designed to help adult learners improve their English language skills within a professional context. Participants will focus on developing their communication skills, vocabulary, and cultural understanding necessary for success in the business world. Through practical exercises, role-plays, and industry-specific materials, learners will enhance their ability to effectively communicate in English within various business situations.  Course Duration: 12 weeks (48 sessions) Course Objectives: By the end of this course, participants will: 1. Communicate confidently and effectively in English within a business setting. 2. Expand business-related vocabulary and improve language accuracy. 3. Develop listening skills to understand business conversations and presentations. 4. Enhance reading comprehension skills for business-related texts. 5. Write accurately and coherently for business correspondence. Course Outline: Week 1: Introduction to Business English - Introduction to course objectives, expectations, and methodology - Assessment of participants' current language proficiency and individual learning goals - Overview of key business English skills and areas of focus Week 2: Business Communication Skills - Developing effective oral communication skills for business settings - Role-plays and discussions related to common business scenarios - Enhancing fluency, clarity, and confidence in expressing ideas and opinions Week 3: Business Vocabulary Expansion - Expanding business-related vocabulary and terminology - Exercises and activities to reinforce and practice key business terms - Incorporating industry-specific jargon into oral and written communication Week 4: Business Writing Skills - Improving writing skills for business correspondence - Practice exercises for emails, reports, memos, and other business documents - Enhancing clarity, coherence, and professional tone in written communication Week 5: Listening and Comprehension in Business Contexts - Developing listening skills to understand business conversations, presentations, and meetings - Authentic listening materials related to various business topics - Strategies for note-taking, understanding accents, and extracting key information Week 6: Reading and Comprehension for Business - Developing reading skills for business-related texts - Strategies for skimming, scanning, and understanding complex business documents - Identifying main ideas, supporting details, and summarising key information Week 7: Business Presentation Skills - Developing effective presentation skills for business contexts - Techniques for organising content, engaging the audience, and delivering impactful presentations - Practice sessions with feedback and guidance Week 8: Business Negotiation Skills - Enhancing negotiation skills for business interactions - Role-plays and practical exercises for successful negotiations - Polishing language and strategies for effective business communication Week 9: Business Etiquette and Cultural Understanding - Understanding business etiquette and cultural nuances in professional settings - Developing intercultural communication skills for international business contexts - Practicing effective communication in diverse and multicultural environments Week 10: Business Networking and Socialising - Developing language skills for networking and socialising in business contexts - Role-plays and exercises for effective communication at conferences, events, etc. - Polishing conversational skills, small talk, and building professional relationships Week 11: Business Grammar and Language Accuracy - Reviewing and reinforcing essential grammar rules and structures in a business context - Identification and correction of common errors in business writing and speaking - Exercises and activities to improve language accuracy Week 12: Review and Final Evaluation - Reviewing course content and addressing individual needs - Comprehensive review exercises for all language skills in a business context - Final evaluation and feedback session Note: This syllabus serves as a guideline and can be customised based on the specific needs, interests, and proficiency levels of the participants. The course may also include guest speakers or industry-specific case studies to provide further immersion and practical application of language skills.

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is as follows: Network Administrators Administrators interested in Automation Individuals interested in devops, specifically for networking Overview This course teaches students to blend Python skillsets with Ansible through the lens of automating networks. Automation techniques for the most popular vendor (incl. Cisco, Juniper, Arista) will be subjects of study, however, students may request examples from vendors within their own environments. Topics begin with a focus on automating networks with Python; this skill set is then folded into a broadening understanding of automating with Ansible. Students will have programmatic experience automating enterprise class networks by the conclusion of this course (includes writing custom Ansible modules with Python). Class is a combination of lecture, demonstration, and hands-on labs. Students are invited to share their own relevant Python and Ansible scripts with the instructor to ensure class subjects are as relevant as possible. All notes and scripts will be made available to students by the end of each day via a cloud-share or email. Lab time will be given reinforce that day's topics and demonstrations. No two networks are the same! Learn to automate your network with a Python and Ansible skillset. Course can be taught across all major (and most minor) network vendors. Course demonstrations can be adapted to best-fit the customer?s network to ensure all lessons have maximum relevance. Day 1 ? Critical Python Catchup & Review Overview of Python and Ansible Python white space rules & best practices Printing and more Printing Date types and Variables Packing and Unpacking Variables f Strings Conditional expressions Relational and Boolean operators Lists, Tuples, Dictionaries Indexing and slicing Built-in functions Iterating with Loops (for and while) Working with files Software Control Management (SCM) (Git, Github, Bitbucket, Cloudshare, etc.) Using Python to access REST interfaces Working with JSON Python, Ansible and Paramiko Using Paramiko to SSH with keys and passwords RESTful API review API keys Paramiko Review Using Paramiko to SFTP with keys and passwords Day 02 ? Python and Network Automation Introduction to Netmiko (automating routers and switches) Using Netmiko to send commands to / from network devices Working with YAML Converting JSON to YAML with Python Ansible keywords YAML and JSON for data exchange Ansible and YAML Ansible Playbook components Tying together Python and Ansible ? Using Python within Ansible Ansible Network Modules What is new in Ansible (most current updates / release notes) Network Agnostic modules Writing network playbooks Reviewing the construction of network playbooks Writing Ansible playbooks that respond to network failures Day 03 ? Blending Python and Ansible Skillsets Review how to use Python within Ansible Calling Python scripts with Ansible Jinja2 Templating Engine for Python (and Ansible) Using Templates in Ansible playbooks Jinja2 filters, looping, and other useful tricks for automating with Ansible Playbook tagging for selective runs When to use Python and when to use Ansible ?Big Picture? options for using Python & Ansible within your Network Ansible Roles Day 04 ? Customizing Ansible with Python Review ? Running Scripts with Ansible Prompting for Ansible user input Ansible Galaxy & Getting at Roles Writing a custom Ansible Module with Python Ansible ?Engine? vs Ansible ?Tower? ? marketing hype, capabilities, costs, etc. Case Study: Automate your Enterprise Network When to use Python and when to use Ansible Writing your own Ansible modules in Python ?Big Picture? options for using Python & Ansible within your Network Overview ? NETCONF / YANG and what they mean for Python and Ansible Molecule ? Testing your roles Additional course details: Nexus Humans Network Automation with Python and Ansible 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 Network Automation with Python and Ansible 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.

Microsoft Excel training | Excel Courses for Accountants: Excel Courses Overview Microsoft Excel is the world's most popular spreadsheet program, learning how to use the software with Osborne Training shows that you've taken one of the best Excel training courses available. Comprehensive excel courses come with up to date material to practice at home and during your class. Excel courses for accountants This course is a highly recognised excel course for accountants. We will also provide a step by step manual of all the tricks you can do using Excel spreadsheets to gain better management reporting and budgeting skills. It is a fundamental program for professional Accountants. Excel spreadsheets are the most powerful tool, extensively used for reporting and analysis. Having advanced skills in excel can excel your career and help you to stand ahead of the competitive job market. Advanced skills in Excel is a must for any potential professional accountants and who are already running a practice or considering opening a practice. Certificate of Attendance Excel Course Content Creating worksheets, formatting text Simple and complex formulas Handling rows and columns Average, max and min functions and using charts. Use of IF Formula Summing Techniques Cell References Formula Linking Tables and Bordering Look up References (Vlookup, Hlookup, etc) Data Validation Conditional Formatting Date & Time Formulas Charts & Graphs Protection & Security Creating Pivot Table Pivot Table Analysis

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Duration 2 Days 12 CPD hours This course is intended for This program is designed for students who have attended successfully the IJOS and JRE courses (prior to April 1, 2017) or the IJOS course (since April 3, 2017) and are working toward JNCIA-JUNOS certification. Overview The objectives for this course follow the requirements for the current JNCIA-JUNOS. At the end of this course, the successful student will be able to: Identify the concepts and functionality of various fundamental elements of networking Identify the concepts, benefits and functionality of the core elements of the Junos OS Identify the concepts, operation and functionality of the Junos user interfaces Identify the main elements for configuring Junos devices Describe how to configure basic components of a Junos device Identify methods of monitoring and maintaining Junos devices Describe monitoring and maintenance procedures for a Junos device Identify basic routing concepts and functionality for Junos devices Describe how to configure and monitor basic routing elements for a Junos device Identify the concepts and functionality of routing policy and firewall filters on Junos devices Describe how to configure and monitor routing policies and firewall filters on a Junos device Apply knowledge of Junos operating system configuration, operations, and functionality to real-world scenarios This intense, two-day program is designed to prepare attendees who have previously taken the Introduction to the Junos Operating System (IJOS) course for taking the certification exam while simultaneously gaining insight into real-world applications Session 1: Practice Labs Guided practice labs to reintroduce the lab environment Session 2: Real-World Scenario Labs Labs that emulate real-world application of JNCIA-level knowledge, configurations, operations, and functionality. These labs will challenge students to complete scenario-based problems to accomplish specific network goals. Session 3: Networking Fundamentals Collision domains and broadcast domains Function of routers and switches Optical network fundamentals ? SONET/SDH, OTN Ethernet networks Layer 2 addressing, including address resolution IPv4 and IPv6 fundamentals Layer 3 / IP addressing, including subnet masks Subnetting and supernetting Decimal to binary conversion Longest match routing Connection-oriented vs. connectionless protocols Session 4: Junos OS Fundamentals Junos device portfolio ? product families, general functionality Software architecture Control and forwarding planes Routing Engine and Packet Forwarding Engine Protocol daemons Transit traffic processing Exception traffic Session 5: User Interfaces CLI functionality CLI modes CLI navigation CLI Help Filtering output Active vs. candidate configuration Reverting to previous configurations Modifying, managing, and saving configuration files Viewing, comparing, and loading configuration files J-Web ? core/common functionality Session 6: Junos Configuration Basics Initial configuration User accounts Login classes User authentication methods Interface types and properties Configuration groups Additional initial configuration elements ? NTP, SNMP, syslog, etc. Configuration archival Logging and tracing Rescue configuration Session 7: Operational Monitoring and Maintenance Show commands Monitor commands Interface statistics and errors Network tools ? ping, traceroute, telnet, SSH, etc. Real-time performance monitoring (RPM) Junos OS installation Software upgrades Powering on and shutting down Junos devices Root password recovery Session 8: Routing Fundamentals Packet forwarding concepts Routing tables Routing vs. forwarding tables Route preference Routing instances Static routing Advantages of / use cases for dynamic routing protocols Session 9: Routing Policy and Firewall Filters Default routing policies Import and export policies Routing policy flow Effect of policies on routes and routing tables Policy structure and terms Policy match criteria, match types, and actions Firewall filter concepts Firewall filter concepts Filter match criteria and actions Effect of filters on packets Unicast reverse-path-forwarding (RPF) Session 10: JNCIA-JUNOS Certification Exam The exam voucher is included in the price of the course DWWTC is a certified PearsonVUE Testing Center' Additional course details: Nexus Humans JNCIA Practicum and Exam Preparation 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 JNCIA Practicum and Exam Preparation 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.

What is Stress and what is burnout? What are some of the very real physical symptoms that we experience and how do we counteract these. This session takes the time to explore what is going on in our bodies and minds at times of stress and looks at some ways to bring balance back to our systems.