690 Courses in London delivered Live Online

Getting Started MSc Finance and Management is a globally recognised finance qualification suitable for experienced finance professionals who like to kick start their career in finance. The programme is designed to provide students with advanced knowledge and skills in financial management, enhancing their career prospects in the finance industry. UCLAN awards the degree and is suitable for those who have completed a relevant postgraduate diploma. The Master's in Finance and Management is a 9-month Top-Up programme focused solely on the dissertation module. Students must undertake independent research, demonstrating their ability to apply advanced research techniques to a finance-related topic. This module carries 60 credits and enables students to showcase their knowledge, understanding, and research skills in financial management. Throughout the programme, students receive support from experienced academics and industry professionals who provide guidance and feedback on their research projects. The programme is delivered through online webinars and independent study, allowing students to balance their studies with work and personal commitments. The MSc Finance and Management Top Up is awarded and delivered by the University of Central Lancashire through distance learning. School of Business and Technology London partners with Chestnut Education Group to promote this programme. About Awarding Body Founded in 1828, the University of Central Lancashire is a public university based in Preston, Lancashire, England. Today, UCLAN is one of the largest in the United Kingdom, with a student and staff community of nearly 38,000. At present, the University has academic partners in all regions of the globe, and it is on a world stage that the first-class quality of its education was first recognised. In 2010, UCLAN became the first UK modern Higher Education institution to appear in the QS World University Rankings. In 2018, the Centre for World University Rankings estimated Central Lancashire to be in the top 3.7 per cent of all global universities, highlighting the growth the University has made in offering students real-world learning experiences and reflecting the University's extensive pool of academic talent. Ranked in the top 7% of universities worldwide. Student Communities from more than 100 countries WES Recognised Qualifi is a UK Government (Ofqual.gov.uk) regulated awarding organisation and has developed a reputation for supporting relevant skills in a range of job roles and industries, including Leadership, Enterprise and Management, Hospitality and catering, Health and Social Care, Business Process Outsourcing and Public Services. Qualifi is also a signatory to BIS international commitments of quality. The following are the key facts about Qualifi. Regulated by Ofqual.gov.uk World Education Services (WES) Recognised Assessment Major Project No examinations Entry Requirements Qualifi Level 7 Diploma in Accounting and Finance Applicants should normally have a good first degree or equivalent and be working in or have recently worked within the accounting and finance arena. If English is not your first language, you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 (Academic level) or equivalent English Language qualification. Progression Upon completion of the degree, graduates will possess the necessary skills and knowledge to pursue various career opportunities in finance, including roles in financial analysis, investment banking, risk management, corporate finance and financial planning. Additionally, the programme serves as a solid foundation for further study or research in finance. Upon completion, students will have produced an original research piece demonstrating expertise in financial investigation. This provides a significant advantage in the job market, particularly for roles requiring advanced research skills or knowledge of financial investigation techniques. Graduates of the MSc Finance and Management programme are well-prepared to pursue careers in law enforcement, regulatory agencies, financial services, and consulting. 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. Structure MSc Finance and Management Top Up Programme Structure Dissertation Module Delivery Methods The MSc Finance and Management Top Up is awarded and delivered by the University of Central Lancashire through distance learning. The University of Central Lancashire (UCLan) offers a range of distance learning options for students who require the flexibility to study remotely. These options include online courses, blended learning, and supported distance learning. UCLan's distance learning courses are designed to provide students with the same high-quality education as on-campus courses, with access to resources such as video lectures, online discussion forums, and interactive assessments. The University also provides a range of support services for distance learning students, including academic support, technical support, and access to the University's library and online resources. 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.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for existing Python programmers who have at least one year of Python experience and who want to expand their programming proficiency in Python 3. Overview In this course, you will expand your Python proficiencies. You will: Select an object-oriented programming approach for Python applications. Create object-oriented Python applications. Create a desktop application. Create a data-driven application. Create and secure web service-connected applications. Program Python for data science. Implement unit testing and exception handling. Package an application for distribution.   Python continues to be a popular programming language, perhaps owing to its easy learning curve, small code footprint, and versatility for business, web, and scientific uses. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you'll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, creating web service-connected apps, performing data science tasks, unit testing, and creating and installing packages and executable applications. Selecting an Object-Oriented Programming Approach for Python Applications Topic A: Implement Object-Oriented Design Topic B: Leverage the Benefits of Object-Oriented Programming Creating Object-Oriented Python Applications Topic A: Create a Class Topic B: Use Built-in Methods Topic C: Implement the Factory Design Pattern Creating a Desktop Application Topic A: Design a Graphical User Interface (GUI) Topic B: Create Interactive Applications Creating Data-Driven Applications Topic A: Connect to Data Topic B: Store, Update, and Delete Data in a Database Creating and Securing a Web Service-Connected App Topic A: Select a Network Application Protocol Topic B: Create a RESTful Web Service Topic C: Create a Web Service Client Topic D: Secure Connected Applications Programming Python for Data Science Topic A: Clean Data with Python Topic B: Visualize Data with Python Topic C: Perform Linear Regression with Machine Learning Implementing Unit Testing and Exception Handling Topic A: Handle Exceptions Topic B: Write a Unit Test Topic C: Execute a Unit Test Packaging an Application for Distribution Topic A: Create and Install a Package Topic B: Generate Alternative Distribution Files Additional course details: Nexus Humans Advanced Programming Techniques with Python 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 Advanced Programming Techniques with Python 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 introductory-level Python course is geared for experienced web developers new to Python who want to use Python and Django for full stack web development projects. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Develop full-stack web sites based on content stored in an RDMS Use python data types appropriately Define data models Understand the architecture of a Django-based web site Create Django templates for easy-to-modify views Map views to URLs Take advantage of the built-in Admin interface Provide HTML form processing Geared for experienced web developers new to Python, Introduction to Full Stack Web Development with Python and Django is a five-day hands-on course that teaches students how to develop Web applications using the Django framework. Students will explore the basics of creating basic applications using the MVC (model-view-controller) design pattern, as well as more advanced topics such as administration, session management, authentication, and automated testing. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world. The Python Environment Starting Python Using the interpreter Running a Python script Getting help Editors and IDEs Getting Started Using variables Built in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control Conditional expressions Relational and Boolean operators while loops Lists and Tuples About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Working with Files File overview The with statement Opening a file Reading/writing files Dictionaries and Sets About dictionaries Creating and using dictionaries About sets Creating and using sets Functions Returning values Function parameters Variable Scope Sorting with functions Errors and Exception Handling Exception overview Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages Creating Modules The import statement Module search path Creating packages Classes About OO programming Defining classes Constructors Properties Instance methods and data Class/static methods and data Inheritance Django Architecture Django overview Sites and apps Shared configuration Minimal Django layout Built in flexibility Configuring a Project Executing manage.py Starting the project Generating app files App configuration Database setup The development server Using cookiecutter Creating models Defining models Related objects SQL Migration Simplel model access Login for Nothing and Admin for Free Setting up the admin user Using the admin interface Views What is a view HttpResponse URL route configuration Shortcut: get_object_or_404() Class-based views Templates About templates Variable lookups The url tag Shortcut: render() Querying Models QuerySets Field lookups Chaining filters Slicing QuerySets Related fields Q objects Advanced Templates Use Comments Inheritance Filters Escaping HTML Custom filters Forms Forms overview GET and POST The Form class Processing the form Widgets Validation Forms in templates Automated Testing Why create tests? When to create tests Using Django's test framework Using the test client Running tests Checking code coverage

Getting Started The programme's primary objective is to deliver practical and realistic solutions to business-related strategic challenges backed by appropriate references to theoretical and conceptual analysis. Students showcase their understanding and findings by producing a Consultancy Project Report. Globalisation means that effective and fair management of people is more vital than ever. In a turbulent, rapidly changing business environment, the demand for HR professionals who can strategically manage and develop staff potential - whilst overcoming issues such as redundancy, flexible working and the recent challenges of furloughed staff and social distancing - has never been more fundamental to business success. The programme meets the career enhancement needs of human resource (HR) managers, advisers, and administrators. The Advanced Entry route programme is available to students that already hold relevant experience and a recognised Postgraduate Diploma (PgD) in Human Resource Management or an equivalent qualification. The Consultancy Project Report is delivered and assessed by our academic team based in the UK, utilising our virtual learning platform and with direct support from allocated supervisors. The Advanced Entry route programme typically takes 6-9 months to complete. Throughout the programme, students receive guidance from their dedicated supervisor, ensuring they make the most of their learning experience. The MA in Human Resource Management (Advanced Entry), delivered by the London Graduate School and awarded by the University of Buckingham. School of Business and Technology London partners with LGS to promote this programme. Upon completing the programme, students are awarded an MA in Human Resource Management from the University of Buckingham. Additionally, students can attend the graduation ceremony held in the UK, celebrating their achievements. About Awarding Body Buckingham is unique. It is the only independent University in the UK with a Royal Charter and probably the smallest, with around 2,700 students (approx 1,600 on campus). The University campus is well known for being one of the most attractive locations in the region. The Great Ouse River, home to much wildlife, winds through the heart of campus. Each student mixes with over 100 other different nationalities, so being at Buckingham is just like being in a mini global village. These contacts, acquaintances and friendships carry on long after life at Buckingham is over. Ranked Top 10 for Student Satisfaction Ranked Top 10 for Graduate Prospect Recognised by World Education Services (WES) OTHM Qualifications are approved and regulated by Ofqual (Office of Qualifications and Examinations Regulation) and recognised by Qualifications Wales. OTHM qualifications have achieved a reputation for maintaining significant skills in various job roles and industries like Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. OTHM serves the progression option with several UK universities that acknowledges the ability of learners after studying Level 3-7 qualifications to be considered for advanced entry into corresponding degree year/top-up and Master's/top-up programmes. Regulated by ofqual.gov.uk Recognised by World Education Services (WES) Assessment Assignments and Projects only No Examinations Entry Requirements A relevant and recognised postgraduate diploma or equivalent, such as the OTHM Level 7 Diploma in Human Resource Management. Along with the application, students must provide the certificate and transcript as proof of this qualification. A Bachelor's degree or an equivalent higher qualification. A copy of a valid photo ID for identification purposes. A well-written Statement of Purpose should outline the student's motivations, career goals, and reasons for pursuing the MA in Human Resource Management. An updated Curriculum Vitae (CV) that highlights at least two years of work experience at the graduate level in either a managerial or professional capacity. By submitting these necessary documents, applicants can take the initial step towards joining the MA in Human Resource Management programme and furthering their expertise in the field of HR. English Requirements A pass in English at the A level. Completion of a Bachelor's degree programme taught and assessed in English. An overall score of 6.5 or higher in the International English Language Testing System (IELTS), with a minimum score of 6.0 in each component. A Test of English as a Foreign Language (TOEFL) score of 72 or higher, with a minimum of 18 in reading, 17 in listening, 20 in speaking, and 17 in writing. In addition to the above requirements, all applicants will be required to participate in a live virtual interview with a staff member from the London Graduate School. 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. Structure MA in Human Resource Management (Advanced Entry) Programme structure Research Methods Consultancy Project Report Delivery Methods The MA in Human Resource Management (Advanced Entry), delivered by the London Graduate School and awarded by the University of Buckingham through distance learning. You will receive excellent support from academic team of London Graduate School, including your programme manager and your supervisor who will be with you every step of the way. 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.

This very practical workshop has a simple objective: to help you prepare, design and deliver memorable and high-quality presentations. This programme will help you: Use a proven, structured tool-kit when designing and developing presentations Benefit from short cuts and best practice when designing and using Powerpoint presentations Select the right information, examples, exercises and activities - and use them well Prepare and structure a presentation or session appropriate to the audience, and to best achieve your objectives Maintain audience or group interest Develop and practise presentation skills to improve your voice tone, speech power and body language Use practical methods to control nerves and anxiety - develop higher levels of confidence and credibility Command a room, hold attention and create a high impact 1 Introduction Personal objectives Key messages and learning objectives of the workshop 2 Presentation skills What does good look like? Exercise: Characteristics of high/low impact presentations Presenting yourself as a 'winner' The energy / attitude model Exercise: Being a winner 3 Preparation skills - eight steps to preparing a great presentation, plus Powerpoint tips •The magic circle• How to 'assume the role' when presenting• The eight steps• Step 1 - develop your objectives- The five questions that you must answer before preparing your presentation- Defining your objectives and outcomes- Creating a first draft- Step 1 exercise• Step 2 - analyse your audience- Doing your homework: audience, event, venue- Developing a pre-event check-list- Methods and means for researching your audience- Step 2 exercise• Steps 3 and 4 - structure the main body of your presentation and state the main ideas- Ways to structure your presentation for maximum impact- Balancing and managing content and topics- Organising your information: 6 options and methods- Your 'one main point' and creating a 30-second summary- Steps 3 and 4 exercises• Step 5 - decide on supporting information, using the toolkit- Making your case convincing: ways to support your claims- Selecting and using relevant and interesting examples- Quotes, case studies and printed material- Presenting statistics, tables and graphs- Ways of maintaining visual interest- Transitions and links, creating a 'golden thread'- Step 5 exercise: Creating compelling stories and anecdotes4• Step 6 - create an effective 'opening'- Claiming the stage and creating a good first impression- The three most powerful ways of opening a presentation- The five elements of a strong opening- Step 6 exercise: Participants work individually to prepare an opening, focusing onpersonal introduction, and then deliver to the group, with structured feedback• Step 7 - develop transitions- Step 7 exercise / examples• Step 8 - create an effective close- Signalling and sign-posting; the importance of, and how to do it effectively- Five ways to close a presentation successfully- Step 8 exercise / examples• Presentation design and Powerpoint- An interactive review of participants' own real-life past presentations and advanced tipsand techniques on using Powerpoint effectively 4 Facilitation skills The three main types of group activity - triads, teams and main group How to select the right activity, define the objectives, set it up and run the debrief Using energisers - with examples Exercise: Dealing with 'difficult' behaviours Exercise: Working in triads, design and deliver 5 Tips and tricks: presentation and facilitation 10 reasons why facilitation fails Five golden rules for success Defining the session goals and the facilitation plan Open and closed questions - why and when to use Using a 'car park' to manage unresolved issues Using AV aids - tips and tricks Exercises: Including participants working in pairs to prepare a short section form of one of their own presentations 6 Putting it all together Summary of key learning points Action plan

At some point in your life you will have attended a training course or workshop, but what happens when you are asked to deliver one? Some people relish the opportunity while others are challenged by it. Whatever you feel about training others, it is a skill that is admired and can be studied and learned. With the trainer you will be learning the techniques, skills and understanding you need and you will have the chance to deliver a short training session to others, receive feedback and having the confidence to deliver it for real in your job. The training will comprise one day followed by a half day when all those able to attend will deliver and have feedback on a 20 minute training activity. To be able to create and maintain an environment conducive to learning and engagement To understand basic learning theory and practice and the difference between training, facilitating and learning To understand how adults learn and how to apply it as a trainer To be able to plan and deliver a training activity using the appropriate set of skills and behaviours To be able to review and evaluate learning and identify how outcomes are met To manage the learning process and the participant engagement in the training environment To be able to present effectively and appropriately to a variety of audiences To deliver and receive feedback on a short delivered training activity with peers To review and evaluate learning and have an action plan to take back and put into practice DAY ONE (full-day) 1 Welcome, housekeeping, how the day will be run Introductions (and making the most of them) Warm up - breaking the ice followed by review and feedback Creating an environment conducive to learning and engagement; managing expectations well as a trainer Group task with feedback and review in plenary 2 What is training and how do adults learn? Trainer input: David Kolb's Learning Cycle Group tasks 3 How to plan a session and what to include - trainer input Starting at the end and working backwards Linking outcomes to purposeful activities Practice task and planning time for day two using a template 4 The skills and behaviours of a brilliant trainer Modelling skills and behaviours Creative task and discussion 5 Mini reviewing task De-brief - using reviewing in training 6 How to manage the process Trainer input followed by practice Paying conscious attention to language (verbal and non verbal), feelings and responses in the room and managing yourself as a trainer 7 The trainer's toolkit #1 Key tools, materials and templates Choosing different tools and approaches with different audiences Know your audience 8 The trainer's toolkit #2 Key tools, materials and templates continued Addressing trainer good practice 9 Review, evaluation and action planning activities Why and what should we be evaluating and why it's important Action planning task Group review task DAY TWO (half-day) The day will comprise a series of 30 minute timed sessions where each delegate will present and deliver a training activity with the group. The training activity will be prepared and planned in advance and will take 20 minutes (+ or - 2 minutes) to deliver in real time. This will be followed by review and feedback from the trainer and peers to complete the total of 30 minutes as a time slot. Reiteration of the task and discussion can take place with the trainer if needed, and there is time included in Day One to support the training planning.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for network and software engineers who hold the following job roles: Network engineer Systems engineer Wireless engineer Consulting systems engineer Technical solutions architect Network administrator Wireless design engineer Network manager Site reliability engineer Deployment engineer Sales engineer Account manager Overview After taking this course, you should be able to: Leverage the tools and APIs to automate Cisco ACI powered data centers. Demonstrate workflows (configuration, verification, healthchecking, monitoring) using Python, Ansible, and Postman. Leverage the various models and APIs of the Cisco Nexus OS platform to perform day 0 operations, improve troubleshooting methodologies with custom tools, augment the CLI using scripts, and integrate various workflows using Ansible and Python. Describe the paradigm shift of Model Driven Telemetry and understand the building blocks of a working solution. Describe how the Cisco Data Center compute solutions can be managed and automated using API centric tooling, by using the Python SDK, PowerTool, and Ansible modules to implement various workflows on Cisco UCS, Cisco IMC, Cisco UCS Manager, Cisco UCS Director, and Cisco Intersight. The Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.1 course teaches you how to implement Cisco© Data Center automated solutions including programming concepts, orchestration, and automation tools. Through a combination of lessons and hands-on practice, you will manage the tools and learn the benefits of programmability and automation in the Cisco-powered Data Center. You will examine Cisco Application Centric Infrastructure (Cisco ACI©), Software-Defined Networking (SDN) for data center and cloud networks, Cisco Nexus© (Cisco NX-OS) platforms for device-centric automation, and Cisco Unified Computing System (Cisco UCS©) for Data Center compute. You will study their current ecosystem of Application Programming Interfaces (APIs), software development toolkits, and relevant workflows along with open industry standards, tools, and APIs, such as Python, Ansible, Git, JavaScript Object Notation (JSON), Yaml Ain't Markup Language (YAML), Network Configuration Protocol (NETCONF), Representational State Transfer Configuration Protocol (RESTCONF), and Yet Another Generation (YANG).This course prepares you for the 300-635 Automating Cisco Data Center Solutions (DCAUTO) certification exam. Introducing Automation for Cisco Solutions (CSAU) is required prior to enrolling in Implementing Automation for Cisco Data Center Solutions (DCAUI) because it provides crucial foundational knowledge essential to success. This course also earns you 24 Continuing Education (CE) credits towards recertification. Course Outline Describing the Cisco ACI Policy Model Describing the Cisco APIC REST API Using Python to Interact with the ACI REST API Using Ansible to Automate Cisco ACI Introducing Cisco NX-OS Programmability Describing Day-Zero Provisioning with Cisco NX-OS Implementing On-Box Programmability and Automation with Cisco NX-OS Implementing Off-Box Programmability and Automation with Cisco NX-OS Automating Cisco UCS Using Developer Tools Implementing Workflows Using Cisco UCS Director Describing Cisco DCNM Describing Cisco Intersight Additional course details: Nexus Humans Cisco Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.1 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 Cisco Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.1 course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This intermediate course is for application programmers who need to write embedded SQL COBOL or PL/I programs in either a DB2 9 or DB2 10 for z/OS environment. Overview Incorporate static SQL statements in an application program Prepare the program for execution Validate execution results are correct Produce code to support multiple rows being returned from the database manager using cursors Identify considerations regarding units of work, concurrency, and restart of programs Identify differences between static and dynamic SQL Provide test data for applications Discuss program and DB2 options relative to performance of static SQL This course enables you to acquire the skills necessary to produce application programs that manipulate DB2 databases. Emphasis is on embedding Structured Query Language (SQL) statements and preparing programs for execution. CV720G;CF82G;DB2 Concepts Identify DB2 family products Explain DB2 workstation component functions Identify DB2 objects Identify the key differences between static SQL and other application alternatives for accessing DB2 data Program Structure I Embed INSERT, UPDATE, DELETE and single-row SELECT statements in application programs Effectively communicate with DB2 when processing NULL values and determining success of statement execution Demonstrate use of DB2 coding aids Code CONNECT statements within an application program Identify connection types and impacts on a unit of work Program for the Call Attach Facility (CAF) Program Preparation Identify the additional steps necessary to prepare a program that contains embedded SQL for execution Describe the functions of the DB2 PRECOMPILE and BIND processes Describe factors relevant to the BIND process, including RUNSTATS positioning, package status, parameters, and authorization requirements Program Structure II Use DECLARE, OPEN, FETCH, and CLOSE CURSOR statements to handle select criteria that may return multiple rows in application programs Issue positioned UPDATE and DELETE statements Identify how scrollable cursors can be used Recovery and Locking Concepts Define a unit of recovery Identify the basic locking strategies used by DB2 Dynamic SQL Introduction Describe the difference between static and dynamic SQL List the types of dynamic statements Code dynamic SQL in a program Managing Test Data Identify methods to insert data into a table Use the LOAD or IMPORT utility Identify the purpose of the RUNSTATS utility Identify the purpose of the REORG utility Performance Considerations Use programming techniques that enhance DB2 application performance by following general guidelines, using indexable predicates, and avoiding unnecessary sorts Identify the access paths available to DB2 List common causes of deadlocks and avoid such causes when possible Use the EXPLAIN tools as aids to develop applications that emphasize performance Additional course details: Nexus Humans CV722 IBM DB2 11 for z/OS Application Programming Workshop 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 CV722 IBM DB2 11 for z/OS Application Programming Workshop course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for Application developers who want to build cloud-native applications or redesign existing applications that will run on Google Cloud Platform Overview This course teaches participants the following skills: Use best practices for application development. Choose the appropriate data storage option for application data. Implement federated identity management. Develop loosely coupled application components or microservices. Integrate application components and data sources. Debug, trace, and monitor applications. Perform repeatable deployments with containers and deployment services. Choose the appropriate application runtime environment; use Google Container Engine as a runtime environment and later switch to a no-ops solution with Google App Engine flexible environment. Learn how to design, develop, and deploy applications that seamlessly integrate components from the Google Cloud ecosystem. This course uses lectures, demos, and hands-on labs to show you how to use Google Cloud services and pre-trained machine learning APIs to build secure, scalable, and intelligent cloud-native applications. Best Practices for Application Development Code and environment management. Design and development of secure, scalable, reliable, loosely coupled application components and microservices. Continuous integration and delivery. Re-architecting applications for the cloud. Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK How to set up and use Google Cloud Client Libraries, Google Cloud SDK, and Google Firebase SDK. Lab: Set up Google Client Libraries, Cloud SDK, and Firebase SDK on a Linux instance and set up application credentials. Overview of Data Storage Options Overview of options to store application data. Use cases for Google Cloud Storage, Cloud Firestore, Cloud Bigtable, Google Cloud SQL, and Cloud Spanner. Best Practices for Using Cloud Firestore Best practices related to using Cloud Firestore in Datastore mode for:Queries, Built-in and composite indexes, Inserting and deleting data (batch operations),Transactions,Error handling. Bulk-loading data into Cloud Firestore by using Google Cloud Dataflow. Lab: Store application data in Cloud Datastore. Performing Operations on Cloud Storage Operations that can be performed on buckets and objects. Consistency model. Error handling. Best Practices for Using Cloud Storage Naming buckets for static websites and other uses. Naming objects (from an access distribution perspective). Performance considerations. Setting up and debugging a CORS configuration on a bucket. Lab: Store files in Cloud Storage. Handling Authentication and Authorization Cloud Identity and Access Management (IAM) roles and service accounts. User authentication by using Firebase Authentication. User authentication and authorization by using Cloud Identity-Aware Proxy. Lab: Authenticate users by using Firebase Authentication. Using Pub/Sub to Integrate Components of Your Application Topics, publishers, and subscribers. Pull and push subscriptions. Use cases for Cloud Pub/Sub. Lab: Develop a backend service to process messages in a message queue. Adding Intelligence to Your Application Overview of pre-trained machine learning APIs such as Cloud Vision API and Cloud Natural Language Processing API. Using Cloud Functions for Event-Driven Processing Key concepts such as triggers, background functions, HTTP functions. Use cases. Developing and deploying functions. Logging, error reporting, and monitoring. Managing APIs with Cloud Endpoints Open API deployment configuration. Lab: Deploy an API for your application. Deploying Applications Creating and storing container images. Repeatable deployments with deployment configuration and templates. Lab: Use Deployment Manager to deploy a web application into Google App Engine flexible environment test and production environments. Execution Environments for Your Application Considerations for choosing an execution environment for your application or service:Google Compute Engine (GCE),Google Kubernetes Engine (GKE), App Engine flexible environment, Cloud Functions, Cloud Dataflow, Cloud Run. Lab: Deploying your application on App Engine flexible environment. Debugging, Monitoring, and Tuning Performance Application Performance Management Tools. Stackdriver Debugger. Stackdriver Error Reporting. Lab: Debugging an application error by using Stackdriver Debugger and Error Reporting. Stackdriver Logging. Key concepts related to Stackdriver Trace and Stackdriver Monitoring. Lab: Use Stackdriver Monitoring and Stackdriver Trace to trace a request across services, observe, and optimize performance.

Duration 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. An Overview of Python Why Python? Python in the Shell Python in Web Notebooks (iPython, Jupyter, Zeppelin) Demo: Python, Notebooks, and Data Science Getting Started Using variables Builtin functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Sequences, Arrays, Dictionaries and Sets About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Generator Expressions Nested sequences Working with Dictionaries Working with Sets Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Functions Defining functions Parameters Global and local scope Nested functions Returning values Essential Demos Sorting Exceptions Importing Modules Classes Regular Expressions The standard library Math functions The string module Dates and times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Python and Data Science Data Science Essentials Pandas Overview NumPy Overview SciKit Overview MatPlotLib Overview Working with Python in Data Science Additional course details: Nexus Humans Python for Data Science: Hands-on Technical Overview (TTPS4873) 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 Python for Data Science: Hands-on Technical Overview (TTPS4873) 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.