Join a Climate Fresk Climate science workshop to learn about the causes and effects of climate change through a fun and collaborative experience.
SAFe® Scrum Master Build your skills as a high-performing team member of an Agile Release Train (ART) and prepare to support the facilitation of team and program events when you become a SAFe® 5 Scrum Master (SSM). In this course, you'll gain an understanding of the role of Scrum Master in a SAFe® enterprise. Unlike traditional Scrum Master training that focuses on the fundamentals of team-level Scrum, the SAFe® Scrum Master course explores the role of the Scrum Master in the context of the entire enterprise and prepares you to successfully plan and execute the Program Increment (PI), the primary enabler of alignment throughout all levels of a SAFe® organization. What you will Learn To perform the role of a SAFe® Scrum Master, attendees should be able to: Describe Scrum in a SAFe® enterprise Facilitate Scrum events Facilitate effective Iteration execution Support effective Program Increment execution Support relentless improvement Coach Agile teams for maximum business results Support DevOps implementation Build a high-performing ART by becoming a servant leader and coach Develop an action plan to continue your learning journey Introducing Scrum in SAFe® Characterizing the role of the Scrum Master Experiencing Program Increment planning Facilitating Iteration execution Finishing the Program Increment Coaching the Agile team
5G training course description This course is designed to give the delegate an understanding of the technologies and interworking requirements of the next generation of cellular communications. It is not a definitive set of descriptions but a possibility of the final deployment. During the course we will investigate the 10 pillars for 5G, which will include various Radio Access Technologies that are required to interwork smoothly. Hence we will look at the 4G Pro features and other RATs. What will you learn List the ten pillars of 5G deployment. Explain the 5G Internet and Software Distributed Networks (SDN). Explain carrier aggregation, the mobile cloud and RAT virtualisation. Explain an overall picture of 5G architecture. 5G training course details Who will benefit: Anyone who is looking to work with next generation networks. Prerequisites: Mobile communications demystified Duration 3 days 5G training course contents Drivers for 5G 5G Road Map, 10 Pillars of 5G, evolving RATs, small cell, o SON, MTCm, mm-wave, backhaul, EE, new spectrum, spectrum sharing, RAN virtualisation. 4G LTE advanced features *MIMO, Downlink & uplink MIMO R8, MIMO technology in LTE advanced, Downlink 8-layer SU-MIMO, Downlink MU-MIMO, Uplink MU-MIMO, Uplink transmit diversity, Coordinated multi-point operation (CoMP), Independent eNB & remote base station configurations, Downlink CoMP, * Uplink Multi-Cell Reception. ICIC & eICIC ICIC, Homogeneous to heterogeneous network, eICIC, Macro-pico scenario, Macro-femto scenario, Time orthogonal frequencies. Almost Blank Subframe (ABS). Carrier aggregation Component carriers (CC), * CC aggregation, Intra-band contiguous solutions, Intra-band non-contiguous solutions, Inter-band non-contiguous solutions, CA bandwidth classes, Aggregated transmission bandwidth configurations (ATBC), Possible carrier aggregation configurations (Rel 9, 10 & 12). Enhanced Interference Mitigation & Traffic Adaptation (eIMTA) TDD UL-DL reconfiguration for traffic adaptation, Reconfiguration mechanisms, Interference mitigation schemes, Dynamic & flexible resource allocation. 5G architectures 5G in Europe, horizon 2020 framework, 5G infrastructure PPP, METIS project, innovation centre, 5G in North America, research, company R & D, 5G specifications. The 5G internet Cloud services, IoT & context awareness, network reconfiguration & virtualization support, hypervisors, SDN, the controller, service-oriented API, OpenFlow switches, SDN operation, SDN control for traffic flow redirection, OpenFlow controllers, how SDN works, application, control and infrastructure layers, a programmable network, how SDN & NFV tie together, SDN's downside, SDN orchestration, Mobility, architectures for distributed mobility management, MEDIEVAL & MEDIVO projects, a clean slate approach, mobility first architecture, network virtualization (VNet), INM, NetInf, ForMux, MEEM, GP & AM, QoS support, network resource provisioning, IntServ, RSVP, DiffServ, CoS, aggregated resource provisioning, SICAP, MARA, Emerging approach for resource over-provisioning, example use case architecture for the 5G internet, integrating SDN/NFV for efficient resource control, control information repository, service admission control policies, network resource provisioning, control enforcement functions, network configurations, network operations. Small cells for 5G Average spectral efficiency evolution, What are small cells? WiFi & Femto cells as candidate small-cell technologies, Capacity limits & achievable gains with densifications, gains with multi-antenna techniques, gains with small cells, Mobile data demand, approach & methodology, subscriber density projections, traffic demand projections, global mobile data traffic increase modelling, country level backhaul traffic projections, 2020 average spectrum requirement, Small cell challenges, backhaul, spectrum, automation. Cooperation for next generation wireless networks Cooperative diversity & relaying strategies, Cooperative ARQ & MAC protocols, NCCARQ & PRCSMA packet exchange, Physical layer impact on MAC protocol, NCCARQ overview, PHY layer impact, Performance evaluation, simulation scenario and results. Mobile clouds; technology & services for future communications platforms Mobile cloud, software, hardware and networking resources, Mobile cloud enablers, mobile user domain, wireless technologies, WWAN WLAN and WPAN range, Bluetooth, IEEE.802.15.4, software stacks, infrared, near field communications (NFC), store & forward vs compute & forward, random/linear network coding. Security for 5G communications Potential 5G architectures, Security issues & challenges in 5G, user equipment, mobile malware attacks, 5G mobile botnets, attacks on 4G networks, C-RNTI & packet sequence numbers based UE location tracking, false buffer status reports attacks, message insertion attacks, HeNB attacks, physical attacks, attacks on mobile operator's network, user data & identity attacks, DDoS attacks, amplification, HSS saturation, external IP networks.
Course Content History of Massage Benefits and effects of treatment Associated Anatomy & Physiology Contra-indications & contra-actions to treatment Client care and communication in beauty related industries Aftercare advice Monitor and maintain health and safety practice in the salon Practical demonstration Professional assessment Record cards and data-protection Duration Four days – 10.00am - 4.00pm
About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations
SAFe® Product Owner / Product Manager: In-House Training Develop the skillsets needed to guide the delivery of value in a Lean Enterprise by becoming a SAFe® 5.0 Product Owner / Product Manager (POPM). During this course, attendees gain an in-depth understanding of how to effectively perform their role in the Agile Release Train (ART) as it delivers value through Program Increments. Attendees explore how to apply Lean thinking to decompose Epics into Features and Stories, refine Features and Stories, manage Program and Team backlogs, and plan and execute Iterations and Program Increments. Attendees also discover how the Continuous Delivery Pipeline and DevOps culture contribute to the relentless improvement of the ART. What you will Learn To perform the role of a SAFe® Product Owner / Product Manager, attendees should be able to: Articulate the Product Owner and Product Manager roles Connect SAFe® Lean-Agile principles and values to the PO / PM roles Decompose Epics into Features and decompose Features into Stories Manage Program and Team backlogs Collaborate with Agile teams in estimating and forecasting work Represent customer needs in Program Increment Planning Execute the Program Increment and deliver continuous value Becoming a Product Owner / Product Manager in the SAFe® enterprise Preparing for PI Planning Leading PI Planning Executing Iterations Executing the Program Increment Becoming a Certified SAFe® Product Owner / Product Manager
SAFe® Product Owner / Product Manager Develop the skillsets needed to guide the delivery of value in a Lean Enterprise by becoming a SAFe® 5.0 Product Owner / Product Manager (POPM). During this course, attendees gain an in-depth understanding of how to effectively perform their role in the Agile Release Train (ART) as it delivers value through Program Increments. Attendees explore how to apply Lean thinking to decompose Epics into Features and Stories, refine Features and Stories, manage Program and Team backlogs, and plan and execute Iterations and Program Increments. Attendees also discover how the Continuous Delivery Pipeline and DevOps culture contribute to the relentless improvement of the ART. What you will Learn To perform the role of a SAFe® Product Owner / Product Manager, attendees should be able to: Articulate the Product Owner and Product Manager roles Connect SAFe® Lean-Agile principles and values to the PO / PM roles Decompose Epics into Features and decompose Features into Stories Manage Program and Team backlogs Collaborate with Agile teams in estimating and forecasting work Represent customer needs in Program Increment Planning Execute the Program Increment and deliver continuous value Becoming a Product Owner / Product Manager in the SAFe® enterprise Preparing for PI Planning Leading PI Planning Executing Iterations Executing the Program Increment Becoming a Certified SAFe® Product Owner / Product Manager
SAFe® Scrum Master: In-House Training Build your skills as a high-performing team member of an Agile Release Train (ART) and prepare to support the facilitation of team and program events when you become a SAFe® 5 Scrum Master (SSM). In this course, you'll gain an understanding of the role of Scrum Master in a SAFe® enterprise. Unlike traditional Scrum Master training that focuses on the fundamentals of team-level Scrum, the SAFe® Scrum Master course explores the role of the Scrum Master in the context of the entire enterprise and prepares you to successfully plan and execute the Program Increment (PI), the primary enabler of alignment throughout all levels of a SAFe® organization. What you will Learn To perform the role of a SAFe® Scrum Master, attendees should be able to: Describe Scrum in a SAFe® enterprise Facilitate Scrum events Facilitate effective Iteration execution Support effective Program Increment execution Support relentless improvement Coach Agile teams for maximum business results Support DevOps implementation Build a high-performing ART by becoming a servant leader and coach Develop an action plan to continue your learning journey Introducing Scrum in SAFe® Characterizing the role of the Scrum Master Experiencing Program Increment planning Facilitating Iteration execution Finishing the Program Increment Coaching the Agile team
About this Training Course Materials Management is an essential link in the Supply Chain process. It takes an even bigger significance in the Upstream industry when the cost of a rupture in equipment or stock can be tremendous, without even considering the cost of the equipment itself. The downside may result in the accumulation of out-of-commission materials which leads to business inefficiency. What does it take to maintain efficient Materials Management? This 3 full-day course will explain more in detail. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives At the end of this course, participants will be able to: Understand the importance of an efficient Materials Management in the Supply Chain process Examine the control and validation of Stock processes Understand the role of the Duet and work within the Stock Duet in materials management Learn about the key factors in Stock optimisation Target Audience This course will benefit all personnel involved in Supply Chain including Stock Controllers, Cost Controllers, Buyers, Logisticians and those from the technical department such as Technical Administrators and members of the duet. Course Level Basic or Foundation Trainer Your expert course leader has 25 years of experience in management positions in Contracting, Procurement and Logistics, mainly in the Oil & Gas Industry. He was a Lecturer for IFP Training for 5 years. During his Oil & Gas industry experience, he has worked on major Oil and Gas development projects like the Yadana project in Myanmar, Akpo project in Nigeria and YLNG in Yemen. His international experience allows him to adapt very easily and integrate the multicultural specificities of the Oil & Gas industry in his teaching. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations
Game design training face to face training customised and bespoke.