23 Technical Manager courses delivered Online

About this Training Course Time is money in all industries. For the Oil & Gas industry, this is no exception and the ability to maximise return on investment is all related to where the Oil is and how easily and quickly we can get that product to the customer. Whether in a technical, managerial or supporting role, you are a valuable asset in ensuring that project delivery targets are met and profits are realised. As Petroleum Engineering (PE) activities continue to increase, professionals like you must grasp the language and technology of PE operations in order to maximise expenditures throughout the producing life of a well. Petroleum Engineering equipment and procedures have a unique language that must be conquered for maximum benefit. Clear and understandable explanations of rig equipment, completion equipment, operations procedures, and their complex interactions provide an excellent foundation for smooth communication and increased efficiency in inter-department project team efforts. A confident understanding of the technical jargon and a visual appreciation of the various pieces of equipment used provides for an overall 'big picture' of the industry value chain. This serves as an excellent foundation for smooth communication and increased efficiency in inter-department project team efforts. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives By the end of this course, the participants will be able to: Define the role of Petroleum Engineering and its interaction between other departments Describe terms used in the Oil & Gas industry such as Surface/Subsurface, Upstream, Midstream and Downstream Describe the Appraisal of Oil & Gas Discoveries, the Cost Estimations, Economics & Reserves Explain what is the Formation, how do we connect to it, and how do we ensure best value Describe how to construct a well, select the equipment & methods, understand the duration that the well is required to perform for Target Audience This course will benefit those in geology, reservoir engineering, equipment and maintenance, and non-petroleum engineering technical professionals as well as forward-looking executives in the following fields who are interested to enhance their knowledge and awareness of the drilling process for increased productivity and contribution to the team that they're supporting: Accounting Administration Business Development Commercial E & P IT Estimation & Proposal Finance & Administration Finance HSE General Management Joint Ventures Legal Logistics Materials Planning Planning & Budgeting Procurement Sourcing Supply Chain Tender Contract Training Drilling Fluids Course Level Basic or Foundation Trainer Your Expert Course Trainer has over 40 years of experience in the Oil & Gas industry. During that time, he has worked exclusively in well intervention and completions. After a number of years working for intervention service companies (completions, slickline & workovers), he joined Shell as a well service supervisor. He was responsible for the day-to-day supervision of all well intervention work on Shell's Persian/Arabian Gulf platforms. This included completion running, coil tubing, e-line, slickline, hydraulic workovers, well testing and stimulation operations. An office-based role as a senior well engineer followed. He was responsible for planning, programming and organising of all the well engineering and intervention work on a number of fields in the Middle East. He had a brief spell as a Site Representative for Santos in Australia before joining Petro-Canada as Completions Superintendent in Syria, then moved to Australia as Completions Operations Superintendent for Santos, before returning to Shell as Field Supervisor Completions and Well Interventions in Iraq where he carried out the first ever formal abandonment of a well in the Majnoon Field. While working on rotation, he regularly taught Completion Practices, Well Intervention, Well Integrity and Reporting & Planning courses all over the world. In 2014, he started to focus 100% on training and became the Technical Director for PetroEDGE. Since commencing delivering training courses in 2008, he has taught over 300 courses in 31 cities in 16 countries to in excess of 3,500 participants. 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

About this Training Course Time is money in the oil business. Drilling time is big money. Whether in a technical, managerial or supporting role, you are a valuable asset to ensuring that project delivery targets are met and profits are realised. As drilling activities continue, professionals like you must grasp the language and technology of drilling operations in order to maximise expenditures throughout the producing life of a well. Drilling equipment and procedures have a unique language that must be conquered for maximum benefit. Clear and understandable explanations of drilling rig equipment, procedures, and their complex interactions provide an excellent foundation for smooth communication and increased efficiency in inter-department project team efforts. Drilling Essentials will help you de-mystify activities around the rig and well planning. It will explain the fundamentals of drilling with an emphasis on key areas such as logistical considerations, costing, and analysis of drilling contracts. Understand the urgency of drilling requests, know more about the cost implications of drilling-related problems, and understand the risks involved in a drilling contract. With the course director's drilling knowledge and skills, this is your opportunity to explore and understand important drilling concepts, principles, and technology which are presented in a reader-friendly format and illustrated with examples. As a non-drilling professional, you too can grow with the drilling industry with a deeper understanding of the critical role you play in contributing to its success! Training Objectives By attending this industry fundamentals Virtual Instructor Led Training (VILT) course, you will be better able to: Understand drilling terminology & drilling processes for completing onshore & offshore wells Appreciate major cost components of drilling operations and its impact for better project planning and management Better visualise major drilling equipment and their technical functions to promote a deeper understanding of the logistical and technical considerations Gain valuable insights on the drilling industry with a synopsis of recent technology developments that impact the drilling process Target Audience This Virtual Instructor Led Training (VILT) course has been developed for new engineers and forward-looking executives in the following fields who are interested in enhancing their knowledge and awareness of the drilling process for increased productivity & contribution to the team they're supporting: Accounting Commercial Finance & Administration General Management Logistics Procurement Tender Contract Administration E & P IT Finance Joint Ventures Materials Planning Sourcing Training Business Development Estimation & Proposal HSE Legal Planning & Budgeting Supply Chain Drilling Fluids Organisational Impact Your expert course leader has over 45 years of experience in the Oil & Gas industry. During that time, he has worked exclusively in the well engineering domain. After being employed in 1974 by Shell, one of the major oil & gas producing operators, he worked as an apprentice on drilling rigs in the Netherlands. After a year, he was sent for his first international assignment to the Sultanate of Oman where he climbed up the career ladder from Assistant Driller, to Driller, to wellsite Petroleum Engineer and eventually on-site Drilling Supervisor, actively engaged in the drilling of development and exploration wells in almost every corner of this vast desert area. At that time, drilling techniques were fairly basic and safety was just a buzz word, but such a situation propels learning and the fruits of 'doing-the-basics' are still reaped today when standing in front of a class. After some seven years in the Middle East, a series of other international assignments followed in places like the United Kingdom, Indonesia, Turkey, Denmark, China, Malaysia, and Russia. Apart from on-site drilling supervisory jobs on various types of drilling rigs (such as helicopter rigs) and working environments (such as jungle and artic), he was also assigned to research, to projects and to the company's learning centre. In research, he was responsible for promoting directional drilling and surveying and advised on the first horizontal wells being drilled, in projects, he was responsible for a high pressure drilling campaign in Nigeria while in the learning centre, he looked after the development of new engineers joining the company after graduating from university. He was also involved in international well control certification and served as chairman for a period of three years. In the last years of his active career, he worked again in China as a staff development manager, a position he nurtured because he was able to pass on his knowledge to a vast number of new employees once again. After retiring in 2015, he has delivered well engineering related courses in Australia, Indonesia, Brunei, Malaysia, China, South Korea, Thailand, India, Dubai, Qatar, Kuwait, The Netherlands, and the United States. The training he provides includes well control to obtain certification in drilling and well intervention, extended reach drilling, high pressure-high temperature drilling, stuck pipe prevention and a number of other ad-hoc courses. He thoroughly enjoys training and is keen to continue taking classes as an instructor for some time to come. 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

About this Virtual Instructor Led Training (VILT) The 5 half-day Piping Stress Engineering Virtual Instructor Led Training (VILT) course will systematically expose participants to: The theory and practice of piping stress engineering, with special reference to ASME B 31.1 and ASME B 31.3 Standards. The basic principles and theories of stress and strain and piping stress engineering, through a series of lessons, case study presentations, in-class examples, multiple-choice questions (MCQs) and mandatory exercises. Principal stresses and shear stresses which form the backbone of stress analysis of a material. Expressions for these quantities will be derived using vector algebra from fundamentals. Thermal stress-range, sustained and occasional stresses, code stress equations, allowable stresses, how to increase flexibility of a piping system, cold spring. The historical development of computational techniques from hand calculations in the 1950s to the present-day software. Training Objectives On completion of this VILT course, participants will be able to: Identify potential loads the piping systems and categorise the loads to primary and secondary. Determine stresses that develop in a pipe due to various types of loads and how to derive stress-load relationships, starting from scratch. Treat the primary and secondary stresses in piping system in line with the intent of ASME Standards B 31.1 and B 31.3 and understand how the two codes deal with flexibility of piping systems, concepts of self-springing and relaxation/shake down, displacement stress range and fatigue, what is meant by code compliance. Understand the principles of flexibility analysis, piping elements and their individual effects, flexibility factor, flexibility characteristic, bending of a curved beam and importance of virtual length of an elbow in the flexibility of a piping system. Learn stress intensification factors of bends, branch connections and flanges. Understand how the stresses in the material should be controlled for the safety of the piping system, the user and the environment. Examine how codes give guidance to determine allowable stresses, stress range reduction due to cyclic loading, and effects sustained loads have on fatigue life of piping. Confidently handle terminal forces and moments on equipment. Understand the supplementary engineering standards required to establish acceptance of the equipment terminal loads and what can be done when there are no engineering standard governing equipment terminal loads is available and learn the techniques of local stress analysis. Get a thorough understanding of the concepts and the rules established by the ASME B 31.1 and ASME B 31.3 Standards. Perform flange load analysis calculations based on Kellogg's Equivalent Pressure method & Nuclear Code method. Perform the same using a piping stress analysis software and check for flange stresses and leakage. Confidently undertake formal training of piping stress analysis using any commercial software, with a clear understanding of what happens within the software rather than a 'blind' software training and start the journey of becoming a specialist piping stress engineer.   Target Audience The VILT course is intended for: Recent mechanical engineering graduates who desire to get into the specialist discipline of Piping Stress Engineering. Junior mechanical, chemical, structural and project engineers in the industry who wish to understand the basics of Piping Stress Engineering. Engineers with some process plant experience who desire to progress into the much sought-after specialist disciplines of Piping Stress Engineering. Mechanical, process and structural engineers with some process plant experience who desire to upskill themselves with the knowledge in piping stress engineering and to become a Piping Stress Engineer. Any piping engineer with some pipe stressing experience in the industry who wish to understand the theory and practice of Piping Stress Engineering at a greater depth. A comprehensive set of course notes, practice exercises and multiple-choice questions (MCQs) are included. Participants will be given time to raise questions and participants will be assessed and graded based on responses to MCQs and mandatory exercises. A certificate will be issued to each participant and it will carry one of the three performance levels: Commendable, Merit or Satisfactory, depending on how the participant has performed in MCQs and mandatory exercises. Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a fully qualified Chartered Professional Engineer with over 40 years of professional experience in Oil & Gas (onshore and offshore), Petrochemical and Mining industries in engineering, engineering/design management and quality technical management related to plant design and construction. At present, he is assisting a few Perth based oil & gas and mining companies in detail engineering, piping stress analysis, feasibility study and business development work related to plant design. He is a pioneer in piping stress engineering in Western Australia. His recent major accomplishments include the following roles and challenges: Quality Technical Support Manager of USD 54 billion (Gorgon LNG Project). This encompassed management of quality technical services connected with Welding, Welding Related Metallurgy, Non-Destructive Examination, Insulation /Refractory /Coating, AS2885 Pipelines Regulatory Compliance and Pressure Vessel Registration. Regional Piping Practice Lead and Lead Piping Engineer of Hatch Associates. In this role, he was responsible for providing discipline leadership to several mining projects for BHP Billiton (Ravensthorpe), ALCOA-Australia (Alumina), Maáden Saudi Arabia (Alumina), QSLIC China (Magnesium), COOEC China (O&G Gorgon). He was actively involved in the development of piping engineering practice in WA, including training and professional development of graduate, junior and senior engineers. This also includes the formation of the Piping Engineering Specialist Group. Lead Piping/Pipe Stress Engineer on ConocoPhillips' (COP) Bayu Undan Gas Recycle, Condensate production and processing platform. He was able to develop several novel design methodologies for the project and provided training to engineers on how to implement them. These methodologies were commended by COP and the underwriters of the project Lloyds Register of Shipping, UK. Creator of Piping Engineering Professional Course aimed at global engineering community. Professional Affiliations: Fellow, Institution of Mechanical Engineers, UK (IMechE) Fellow, Institution of Engineers, Australia (EA), National Register of Engineers (NER) Member American Society of Mechanical Engineers, USA (ASME) Honorary Life Member, Institution of Engineers, Sri Lanka (IESL)   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 about post training coaching support and fees applicable for this. Accreditions And Affliations

About this Virtual Instructor Led Training (VILT) This 5 half-day VILT course will comprehensively cover the technical aspects of gas processing. The scope will be from the wellhead through the typical gas processing plant and discuss gas gathering (pipeline hydraulics), natural gas treating (H2S, CO2 removal), acid gas injection and sulfur recovery. One unique aspect of this training course is the operations and troubleshooting discussions in each module. This VILT course is suited to technical personnel or technical management. Training Objectives After the completion of this VILT course, participants will be able to: Grasp the key specifications of natural gas and liquid products Understand the physical and transport properties of gases and liquids and liquid-vapor phase behavior Explore the various technologies for processing natural gas and to make the specifications Examine the design of the technologies Learn how to diagnose operating problems to keep facilities running reliably Target Audience This VILT course is intended for all surface technical personnel such as process engineers & technologists, facility engineers and production engineers & technologists. This VILT course will greatly benefit but not limited to: Process, petroleum and production engineers Field operators and technicians Personnel involved in gas treatment and processing Managers and Supervisors involved with gas processing operations Course Level Basic or Foundation Intermediate Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). The maximum number of participants for this course is 20 persons. Case studies and Exercises: This VILT course will use actual case references throughout its duration in various forms. This will allow the application of the participants' newly-acquired knowledge. Case studies also stimulate independent thinking and discussion among the participants Trainer Your expert course leader has written several papers that have been published in both academic and industry journals. He has over 30 years of industry experience, specializing in gas processing (pipeline hydraulics, separation, dehydration, treating, sulphur recovery and refrigeration processes) and also has experience with crude oil dehydration, stabilization and micro-refining topping plants. He has experience with developing new technology and is recently involved in lithium, waste biomass and used motor oil pyrolysis and geothermal projects. He has recognized expertise in thermodynamics and physical and transport properties of fluids. He has consulted for several EPC and operating companies through his company Chem-Pet Process Tech., and currently holds the role of Director of Technology in an integrated engineering and solutions provider to the energy industry. He is currently involved with a small power-based carbon capture project as well as helping clients determine the best options for utilities decisions. He has been involved with CO2 dehydration and CO2 flood gas treating as well as acid gas injection projects for several years. Highlighted Achievements: Developed ORC geothermal model to determine the available power from wells in Alberta Acting on the Technical Advisory Board for E3 Metals, extracting lithium from formation water. Acted as a Subject Matter Expert for assessing the performance of the Plains Midstream Canada, Empress 1 Deep Cut Straddle Plant in a potential litigation. Acted as an Expert Witness for JL Transportation patent defence of a dense phase technology. Process engineer lead on the addition of the new Orloff gas plant for Deltastream. Also troubleshooted the oil battery shipping pump, plate exchanger and FWKO and treater. Evaluated gas processing and sulphur recovery options for new feeds to the Zhaikmunai Zelenovsky Gas Plant, Kazakhstan (with PM Lucas, Serbia). Completed capacity analysis for hydrocarbon dew point versus liquid recovery of three trains at Birchcliff Pouce Coupe facility including amine unit, refrigerated gas plant and acid gas injection. Completed process design for CO2 flue gas dehydration for Husky Energy Inc (with Status Engineering) Provided simulations of EnCana Foster Creek and Christina Lake and Husky McMullen SAGD facilities (with Vista Projects). Performed process engineering for Cenovus Pelican Lake SAGD pilot (with GRB Engineering) Bear Lake heavy oil polymer injection pilot (with GRB Engineering). Lead process engineer on the design of IEC Kerrobert crude oil micro-refinery (topping plant). Provided engineering support and troubleshooting for Enerchem Slave Lake Crude tower and product blending (with Status Engineering). 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

This video covers the essential topics necessary for working with Apache Maven. You will understand the techniques and methods to create multi-module Apache Maven projects from scratch, along with delving into topics needed for testing and deploying Java applications.

Mindfulness: A Critical Success Factor for Perfecting Your PM Cultivate mindfulness to dynamically balance technical, management, and behavioral skills and perfect your performance. Mindful awareness, process thinking, and wisdom teachings can be weaved into everyday life to promote healthy, effective living and help you achieve goals and objectives, high energy, resiliency, joy, healthy relationships, and a sense of fulfillment. This video focuses on how to cultivate mindfulness to dynamically balance technical, management, and behavioral skills and perfect your project management performance. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.

Duration 3 Days 18 CPD hours This course is intended for This course is ideal for the following professionals: Data Network Engineers and Administrators Data Center Technical Managers Overview After completing the course, you should be able to: Describe the components and functionality of DCNM. Describe the software define network protocols of VXLAN, eVPN and BGP. Deploy a DCNM environment in high-availability environment. Operate the DCNM discovery process to acquire management of all devices. List high lever navigation features of DCNM and utilize the DCNM GUI (Graphical User Interface) to optimize data center topologies. Manage and monitor data center LAN fabric from DCNM. Program RESTful APIs native to DCNM to perform any network management task. Troubleshoot and monitor the network using DCNM troubleshooting tools. Describe the benefits of DCNM Network Insights. The course, Managing LAN Infrastructure with Cisco Data Center Network Manager (DCNML) v1.0 enhances your knowledge of managing LAN Infrastructure with Cisco Data Center Network Manager (DCNM) implementing a spine-and-leaf network fabric using DCNM with Virtual Extensible LAN (VXLAN), Ethernet VPN (EVPN), and Border Gateway Protocol (BGP). You will learn how the integration of spine-and-leaf network fabric with Cisco Data Center Network Manager increases overall data center infrastructure uptime and reliability, thereby improving business continuity. It provides a robust framework and comprehensive feature set that meets the routing, switching, and storage administration needs of data centers. Cisco DCNM streamlines the provisioning for the unified fabric and monitors the SAN (Storage area network) and LAN (Local area network) components. Introducing Cisco DCNM LAN Cisco DCNM Introduction Cisco DCNM LAN Solution Overview Deploying VXLAN EVPN with Cisco DCNM LAN VXLAN Overlays and Underlays Easy Fabric VXLAN EVPN Underlay Model Deploying Cisco DCNM Cisco DCNM High Availability Cisco DCNM Installation Requirements Discovering Existing Network Devices with Cisco DCNM Configure Switches for Discovery Exploring the Data Center with Cisco DCNM Topology Access Topology View in the GUI Navigate the Map Views and Layouts Managing and Monitoring the Data Center with Cisco DCNM LAN Manage the Configuration Archive Deploy Changes to the Fabric Automating Cisco DCNM Programmatically Explore APIs for the Network REST API Tool Troubleshooting and Monitoring Cisco DCNM Troubleshoot and Monitor Cisco DCNM Describing Network Insights Network Insights Advisor Additional course details: Nexus Humans Cisco Managing LAN Infrastructure with Cisco Data Center Network Manager v1.1 (DCNML) 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 Managing LAN Infrastructure with Cisco Data Center Network Manager v1.1 (DCNML) 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 basic course is intended for anyone who is new to software development and wants, or needs, to gain an understanding of the fundamentals of coding and basics of Java and object-oriented programming concepts. Attendees might include: Technically-minded attendees who want or who want to begin the process of becoming an OO application developer Technical team members from non-development roles, re-skilling to move into software and application development roles within an organization Recent college graduates looking to apply their college experience to programming skills in a professional environment, or perhaps needing to learn the best practices and standards for programming within their new organization Technical managers tasked with overseeing programming teams, or development projects, where basic coding knowledge and exposure will be useful in project oversight or communications needs Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in basic coding with Java, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will learn: The steps involved in the creation and deployment of a computer program What OO programming is and what the advantages of OO are in today's world To work with objects, classes, and OO implementations The basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction The basic constructs that all programming languages share The basic Java constructs supporting processing as well as the OO orientation How to use Java exception handling About and how to use classes, inheritance and polymorphism About use collections, generics, autoboxing, and enumerations How to take advantage of the Java tooling that is available with the programming environment being used in the class Getting Started with Programming, OO and Java Basics for Non-Developers is a skills-focused, hands-on coding course that teaches students the fundamentals of programming object oriented (OO) applications with Java to a basic level, using sound coding skills and best practices for OO development. This course is presented in a way that enables interested students to embrace the fundamentals of coding as well as an introduction to Java, in a gentle paced environment that focuses on coding basics.Students are introduced to the application development cycle, structure of programs, and specific language syntax. The course introduces important algorithmic constructs, string and character manipulation, dynamic memory allocation, standard I/O, and fundamental object-oriented programming concepts. The course explains the use of inheritance and polymorphism early on so the students can practice extensively in the hands-on labs. Structured programming techniques and error handling are emphasized. The course includes the processing of command line arguments and environment variables, so students will be able to write flexible, user-friendly programs. Students will leave this course armed with the required skills to begin their journey as a Java programmer using modern coding skills and technologies. Introduction to Computer Programming Introduction to Programming Programming Tools Programming Fundamentals Thinking About Objects Program Basics Programming Constructs Java: A First Look The Java Platform Using the JDK The Eclipse Paradigm Writing a Simple Class OO Concepts Object-Oriented Programming Inheritance, Abstraction, and Polymorphism Getting Started with Java Adding Methods to the Class Language Statements Using Strings Specializing in a Subclass Essential Java Programming Fields and Variables Using Arrays Java Packages and Visibility Advanced Java Programming Inheritance and Polymorphism Interfaces and Abstract Classes Exceptions Java Developer's Toolbox Utility Classes Enumerations and Static Imports Formatting Strings Collections and Generics Introduction to Generics Collections

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Duration 1 Days 6 CPD hours This course is intended for This overview-level course is ideally suited for professionals seeking an introduction to microservices architecture and its application within a business context. Ideal attendee roles include software developers, system architects, technical managers, and IT professionals who are part of teams transitioning to a microservices approach. It's also an excellent starting point for non-technical roles such as product owners or business analysts who work closely with technical teams and want to better understand and become conversant in the language and principles of microservices. Overview This course combines engaging instructor-led presentations and useful demonstrations with engaging group activities. Throughout the course you'll explore: Understand the Basics of Microservices: Get to know the fundamental principles and characteristics of microservices and how they revolutionize traditional software development approaches. Explore the Design of Microservices: Gain an overview of how microservices are designed based on business requirements and what makes them unique in the software architecture world. Overview of Managing and Scaling Microservices: Get an introduction to how microservices are managed and scaled independently, and understand the significance of these features in your business operations. Familiarize with the Microservices Ecosystem: Learn about the typical patterns, best practices, and common pitfalls in the microservices world, setting a foundation for future learning and implementation. Introduction to Microservices in a Business Context: Acquire a basic understanding of how microservices can be aligned with specific business capabilities, and get a glimpse into how they can coexist with legacy systems in a business setting. Microservices have rapidly emerged as a popular architectural style, breaking down applications into small, independent services that can be developed, deployed, and scaled individually. Microservices offer a robust method to address a variety of projects, such as e-commerce platforms and content management systems, enhancing scalability and boosting productivity. This technology, when employed correctly, can greatly increase software delivery speed and system resilience, making it a crucial skill set for modern technology professionals.Understanding Microservices - A Technical Overview is a one-day course ideally suited for technical professionals seeking an introduction to microservices architecture and its application within a business context. Under the guidance of an industry expert, this engaging class combines lecture-style learning with lively demonstrations, case study review and group discussions.Throughout the course you?ll explore the principles and characteristics that define microservices, how to identify suitable projects for a microservices approach, the factors to consider when designing them, and the strategies to effectively manage and scale them within complex systems. You?ll also learn about the best practices, patterns, and anti-patterns, arming you with the knowledge to make the right architectural choices. This course also explores the real-world implementation of microservices in a business enterprise. We'll discuss how to align the application of microservices with your organization's specific business capabilities, and offer strategies for smoothly integrating this technology within existing legacy systems. Introduction to Microservices Understand what microservices are and their role in modern software development. Introduction to Microservices: what they are and why they matter. Monolithic vs Microservices: highlighting the shift and benefits. Key principles and characteristics of microservices. Identifying suitable applications for microservices transformation. Demo: Analyzing a sample application and identifying potential microservices Architecting and Managing Microservices Learn the basic strategies for scaling and managing microservices. Scaling Microservices: from a single service to hundreds. Key components of a microservices architecture. Introduction to resilience patterns: Circuit-Breakers and Bulkheads. Load management and provisioning in a microservices setup. Understanding the role of cloud services in microservices. Optional Demo: Illustrating how a microservice-based application scales in real-time Designing Microservices Learn the key aspects to consider when designing microservices. Defining microservice boundaries: Deciding the scope of a microservice. Communication patterns in microservices. Understanding Microservice endpoints. Exploring data stores and transaction boundaries in microservices. Overcoming challenges in Microservices design. Demo: Designing microservices for a hypothetical business requirement Implementing Microservices in a Business Enterprise Understand the process and considerations for implementing microservices in an enterprise context. Assessing enterprise readiness for microservices. Building the business case for microservices: strategic advantages and potential challenges. Aligning microservices with business capabilities. Organizational changes: Team structures and processes for microservices. Dealing with Legacy Systems: Strategies for microservices integration. Demo: Exploring a case study of successful microservices implementation in a business enterprise The Microservices Ecosystem Understand the key tools and best practices in the Microservices ecosystem. Understanding the typical Microservices Stack. Monitoring and Logging in Microservices. Introduction to Docker: Containerization of Microservices. Deployment strategies in a Microservices setup. Introduction to Orchestration in Microservices Demo: Containerizing and deploying a simple microservice Microservices Deployment Strategies Understand various ways to safely introduce changes in a microservices environment. The concept of Blue-Green Deployment: changing services without downtime. Canary Releases and Feature Toggles: slowly rolling out changes to users. Database changes in a microservices environment: keeping data consistent. Demo: Examining various deployment strategies Microservices Best Practices and DevOps Learn key strategies to ensure a smooth operation of your microservices setup. The DevOps culture in Microservices: collaboration for efficiency. Defining a Minimum Viable Product in a Microservices setup: building small, delivering fast. Dealing with data in a distributed setup: managing Data Islands. The importance of Continuous Integration/Continuous Delivery in a microservices setup. Governance: Keeping track of your services and their consumers. Demo: Visualizing a simple continuous delivery pipeline Microservices Patterns and Anti-Patterns Learn about common do's and don'ts when working with microservices. Understanding patterns that help with efficient microservices operation. Recognizing and avoiding anti-patterns that can hinder performance. Dealing with common challenges: dependencies between services, managing service boundaries. Demo: Examples of real-world patterns and anti-patterns Simple Overview of OAuth and OpenID for Microservices Introduction to OAuth and OpenID: What they are and why they matter in Microservices. The role of tokens in OAuth 2.0: How they help in securing communications. A simplified look at OpenID Connect: Linking identities across services. Demo