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Online Course now available via Teachable Platform – How do People Learn? Learn at your own pace… with text and videos to support your learning experience. Inclusive Education: Neurodiversity Course Presented by Inclusive Solutions  About This Course: Designed for educators, psychologists, and teachers, this course offers an immersive experience in inclusive education strategies specifically for neurodivergent children. Two leading experts—Dennis Rollins MBE, celebrated trombonist and teacher, and Colin Newton, an experienced inclusive educational psychologist—will guide you through practical approaches and proven techniques to improve inclusive education.  Key Benefits of the Course:  Understand learning processes tailored to neurodivergent students with learning differences. Explore dominant psychological models of learning and their practical, real-world applications. Participate in engaging, hands-on activities to reinforce inclusive teaching strategies. Gain strategies to foster motivation, confidence, and a sense of autonomy in learners Meet the Instructors: Dennis Rollins MBE Dennis Rollins MBE is a renowned trombone player and award-winning educator with over three decades of experience. Known for his unique approach, Dennis has collaborated with top artists worldwide and has received prestigious awards for both performance and jazz education.   Some of Dennis’ recognised lifetime achievements are as follows:  Worked with artists such as Jamiroquai, Courtney Pine, Maceo Parker, The Brand New Heavies, Blur, US3 and Monty Alexander. Won BBC Best Band with Badbone & Co, 2006. Trombonist of the Year, British Jazz Awards and Ronnie Scott’s Jazz Awards, 2007. X2 nominated in the 2008 Parliamentary Jazz Awards: Musician of the Year and Jazz Education, winning the latter category. JazzYorkshire Award Best Band for his band Velocity Trio, 2012. British Trombone Society (BTS) Player of the year Award, 2013. Honorary Fellowship from the Royal Welsh College of Music and Drama, 2022. Recently honoured with an MBE, Dennis brings a creative, real-world perspective to teaching music, particularly for learners with complex needs.  Learn more about Dennis Rollins: Dennis Rollins Website   Colin Newton Colin Newton is a seasoned educational psychologist and passionate advocate for inclusive education. With over 40 years in the field, working across the UK and internationally. Colin is known for his passion for promoting the inclusion of all children in mainstream schools, and for his practical applied work around person-centred planning, restorative justice and in-depth problem-solving. His work has inspired a shift toward inclusive practices across the UK, as he brings both experience and innovative thinking to the world of education.  Colin says: ‘Instinctively from an early age I was against children being sent away to boarding schools and later to special schools and settings. Later I was inspired by disabled activists and Canadian and North American inclusionists who were working to change the world of education with radical innovative thinking and approaches - the work was political, social and spiritual - I was in and never looked back!’  Colin’s career has been values-driven, but also practical using applied psychology in training and real-life problem-solving with schools, families and individual children and young people.     Learning Objectives: By participating in this course, you’ll be able to:  Gain a deeper understanding of inclusive learning processes for all children and adults Differentiate approaches to address the emotional complexities of teaching and learning Master techniques to support effective teaching and meaningful learning Explore the role of relationships and engagement in successful learning Analyse psychological models and identify their real-world applications in education Reflect on the practices of outstanding teachers to inspire deeper learning   Course Topics: Learning Through Imitation Learn how social learning theory (Bandura) highlights the power of imitation. Discover how learners naturally gravitate toward peers and key adults as role models, absorbing skills and behaviours. Contextual Learning Explore Jerome Bruner’s view on context in learning. Understand how learning is always connected to a broader context, which makes it meaningful and applicable. Motivation and Structured Steps Discover techniques to ignite motivation in learners. We’ll discuss how structured, step-by-step support and person-centred encouragement can make a profound difference, particularly for those with learning barriers. Building Self-Efficacy in Learners Understand how educators can nurture self-efficacy, encouraging learners to set their own goals and take charge of their learning journey. Who Should Attend? This course is ideal for:  Educators and psychologists aiming to enhance their understanding of learning processes Teachers who want to develop inclusive teaching strategies for neurodivergent and learning-different students Format A dynamic, hands-on workshop blending lectures, real-world insights, and practical exercises. 

Duration 3 Days 18 CPD hours This course is intended for This course is intended for IT professionals who are experienced in general Windows Server and Windows Client administration. Students should have a foundational knowledge of Windows PowerShell, which they can obtain by taking course 10961C: Automating Administration with Windows PowerShell. In addition, this course provides scripting guidance for Microsoft Azure administrators and developers who support development environments and deployment processes. Overview After completing this course, you will be able to: Create advanced functions. Use Microsoft .NET Framework and REST API in Windows PowerShell. Handle script errors. Use XML, JSON, and custom formatted data. Manage Microsoft Azure resources Analyze and debug scripts Understand Windows PowerShell workflow. This course teaches students how to automate administrative tasks using PowerShell. Students will learn crucial scripting skills such as creating advanced functions, writing controller scripts, and handling script errors. Candidates will learn how to use PowerShell when working with Microsoft Azure, SQL Server, Active Directory, IIS, Windows PowerShell Workflow, .NET resources, the REST API and XML, CSV & JSON formatted data files.This course replaces retired Microsoft course 10962. Module 1: Creating advanced functions Lesson 1: Converting a command into an advanced function Lesson 2: Creating a script module Lesson 3: Defining parameter attributes and input validation Lesson 4: Writing functions that accept pipeline input Lesson 5: Producing complex pipeline output Lesson 6: Using comment-based Help Lesson 7: Using Whatif and Confirm parameters Module 2: Using Microsoft .NET Framework and REST API in Windows PowerShell Lesson 1: Using .NET Framework in PowerShell Lesson 2: Using REST API in PowerShell Module 3: Writing controller scripts Lesson 1: Understanding controller scripts Lesson 2: Writing controller scripts with a user interface Lesson 3: Writing controller scripts that create reports Module 4: Handling script errors Lesson 1: Understanding error handling Lesson 2: Handling errors in a script Module 5: Using XML, JSON, and custom-formatted data Lesson 1: Working with XML formatted data Lesson 2: Working with JSON formatted data Lesson 3: Working with custom-formatted data Module 6: Enhancing server management with Desired State Configuration and Just Enough Administration Lesson 1: Implementing Desired State Configuration Lesson 2: Implementing Just Enough Administration Module 7: Analyzing and debugging scripts Lesson 1: Debugging in Windows PowerShell Lesson 2: Analyzing and debugging an existing script Module 8: Understanding Windows PowerShell Workflow Lesson 1: Understanding Windows PowerShell Workflows Lesson 2: Running Windows PowerShell Workflows

About this Training Course  Exploration and production technology, equipment specification and processes have a unique language that must be conquered by executives such as you. 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 industry value chain. This serves as an excellent foundation for smooth communication and increased efficiency in inter-department project team efforts. Gain a comprehensive overview of the entire value chain and process of oil & gas upstream operations and business in this 3 full-day training course. Training Objectives By attending this industry fundamentals training course, participants will be better able to: Appreciate the dynamics of world energy demand & supply and its impact on pricing Understand the formation of petroleum reservoirs and basic geological considerations Examine the exploration process to gain an overview of the technical processes involved Gain a comprehensive overview of drilling activities - from pre-drilling preparation, through to well drilling, well evaluations and post drilling activities Get familiarised with the common production methods and the different stages of its processes Integrate your understanding of asset maintenance and downstream supply chain activities Better visualise through video presentations the various exploration equipment/ technologies and understand the major cost components Target Audience This course will be useful and applicable, but not limited to: Accounting Administration Business Development Commercial Construction E & P IT / Data Finance Finance & Treasury Health & Safety Human Resource Joint Venture Co-ordinators Legal Logistics Materials Planning Procurement Sales & Marketing Senior Management Sourcing Strategic Planning Supply Chain Tender Contract Course Level Basic or Foundation Training Methods Multi-media presentation methodology to enable better understanding and appreciation technical jargon and equipment applied in the field A pre-course questionnaire to help us focus on your key learning objectives Detailed reference manual for continuous learning and sharing Limited class size to ensure one to one interactivity Trainer Your expert course leader worked for BP for 28 years as a Research Associate and Team Leader, working on Feasibility Studies and acting as a trouble shooter covering all aspects of BPs businesses. These covered field Development Project in the North Sea and several novel resource recovery techniques which were taken from Concept to Field Pilot trials in Canada. His specific work in the offshore area covered Subsea Robotics / Automation, Seabed Production Concepts, Seabed Excavation Methods, Underwater Repair Techniques, Flexible Riser Studies and Maintenance Cost Reductions. After leaving BP in 1992, he continued working in the offshore oil industry through Azur Offshore Ltd, including activities in the assessment of Emerging and Novel Technologies, Technical and Economic Audits, Studies, Production Sharing Agreement Evaluations, Safety and Environmental issues. Clients have included Chevron UK, BP Exploration, British Gas, Technomare, Trident Consultants, Fina UK and Cameron France. He is a regular University lecturer at Crandfield School of Industrial Sciences (UK) and is a course Group Project external examiner for Crandfield. He also lectures on offshore oil industry activities at ENSIETA (France), the Technical University of Delft (Holland) and the Northern Territories University in Darwin (Australia). He is an active member of the UK Society for Underwater Technology (SUT) and serves on their Subsea Engineering and Operations Committee. 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 radical way of building empathy is inspired by the work of the ‘Roots of Empathy’ organisation in Canada. Roots of Empathy (ROE) is dedicated to building caring and peaceful societies through the development of empathy in children. It is a parenting education programme for elementary school students (between the ages of 3 to 14 years) based on monthly visits to the classroom by a parent and infant from the school neighbourhood. Course Category Behaviour and Relationships Autism and Communication Meeting emotional needs Description This radical way of building empathy is inspired by the work of the ‘Roots of Empathy’ organisation in Canada. As Mary Gordon founder of this way of working describes: ‘By regular visits to the classroom of local mums and their children build an empathic relationship with the baby.MARY GORDON Roots of Empathy (ROE) is dedicated to building caring and peaceful societies through the development of empathy in children. It is a parenting education program for elementary school students (between the ages of 3 to 14 years) based on monthly visits to the classroom by a parent and infant from the school neighbourhood. We teach teachers and educators to help children to observe, over the school year, how their baby forms an attachment to his or her parent. Children are encouraged to record how the infants develop. The children learn to spot their babies cues and unique temperament, while celebrating developmental milestones. Children are prepared for responsible and responsive parenting as they increase their knowledge about human development, learning, and infant safety. The baby project program brings about the development of empathy and emotional literacy: As children learn to take the perspective of others they are less likely to hurt through bullying, exclusion, aggression, and violence. Children learn how to challenge cruelty and injustice in their own classroom. Messages of social inclusion and activities that are consensus-building contribute to a culture of caring that changes the tone of the classroom. Involving fathers and men provides rich models of male nurturance Testimonials ‘13% increase in empathy scores for our year 1s’ ‘Years 2s empathy had increased by 35%’ ‘Now that I am older I can be happy for other people’ (6 year old) ‘Everyone is special – thats the truth – but when I was small I thought its not fair when someone got a present and I didn’t’ (7 year old) Dramatic improvements in children taking responsibility for actions and being less defiant over the year of the project. Learning Objectives Understanding of method and approach to building empathy with babies Full understanding of background to this approach Practical advice received as to how to set up baby project in classrooms across school Who Is It For ? Teachers School leaders Project Coordinators Social Care Course Content We will provide theoretical and evidence back ground to impact of this work. We will describe existing UK school based work. We will inspire staff in attendance to want to actively engage in this work There may even be a baby to hold!!

One of the most frequent telephone queries we receive at Inclusive Solutions is from parents whose disabled son or daughter is about to make the transition from Primary to Secondary School. Typically there is a tale to be told of LA planning procedures that are too little and too late, and a severe lack of confidence from all parties that the transition will be successful. Little wonder that transfers from mainstream to special schools continue to peak at Year 7! Course Category Peer Support Strategic Work Visioning and Problem Solving Person Centred Planning Description One of the most frequent telephone queries we receive at Inclusive Solutions is from parents whose disabled son or daughter is about to make the transition from Primary to Secondary School. Typically there is a tale to be told of LA planning procedures that are too little and too late, and a severe lack of confidence from all parties that the transition will be successful. Little wonder that transfers from mainstream to special schools continue to peak at Year 7! Because of this we have put together a different kind of support plan that aims to maximise the chances of Primary/Secondary transitions being successful. In essence our approach brings together a person centred planning tool called ‘MAPS’ and a ‘Circle of Friends’ recruited from within the Year 7 tutor group. The Circle of Friends forms the core of the MAPS session and are central in developing (with parents and staff) a Plan for embedding the focus child in the new school setting. Community Circles bring together disabled and non disabled pupils in a network of mutual support. Peer support is an approach to impacting on inclusion and transition in primary and secondary schools by actively involving other pupils. Enjoy participating in a multi media workshop that will challenge, entertain and reach for your emotions. Watch young people doing their stuff! Testimonials ‘It had a huge impact on all levels’ ‘Very user friendly’ Learning Objectives To be able to understand the values and wider context of peer support To be able to set up and run a peer counselling scheme to reduce bullying To understand and be able to maximise the power of the peer group in supporting relationships, achievement and behaviour change Who Is It For ? Primary and secondary teachers Heads and Deputies SENCOs Learning Support and Guidance staff Advanced Skills Teachers Parents Local Authority Support Services Community Development workers Early Years and School based Practitioners Course Content The course explores the questions : How can we improve our transition arrangements? Practically how do we go about involving pupils in this process? Do you have any fresh ideas on transition processes? Take a tour through this range of strategies for bringing about smooth transitions, meeting challenging emotional needs and to develop inclusion. Circles of friends: peer support and inclusion. Pupils work to problem solve with and actively support the inclusion and behaviour change of one of their peers Community Circles of Exchange and Mutual Support set up between disabled and non disabled group Peer support, counselling and mediation: reduce bullying and address emotional needs as older pupils offer active listening support and interventions Cross Age Mentoring: older pupils offer supportive mentoring to younger pupils in the same school or in feeder primary schools MAPS and PATH as person centred planning for transitions

Data dashboards provide key information to stakeholders so that they can make informed decisions. While there are plenty of software solutions for building these essential data products, there is much less guidance on how to design dashboards to meet the diverse needs of users.  This course is for anyone who is building or implementing dashboards, and wants to know more about design principles and best practice. You could be using business intelligence software (such as Power BI or Tableau), or implementing bespoke solutions.  The course will give your team the ability to evaluate user needs and levels of understanding, make informed decisions about chart selections, and make effective use of interactivity dynamic data.  We’ll work with you before the course to ensure that we understand your organisation and what you’re hoping to achieve.  Sample learning content  Session 1: Data with a purpose Understanding the different types of dashboard. Information overload and other common dashboard pitfalls. Assessing user needs and levels of data fluency. Session 2: Planning a dashboard Assessing diverse user needs and levels of data fluency. Taking a User Experience (UX) approach to design and navigation. Applying an interative and collaborative approach to onboarding. Session 3: Graphs, charts and dials  Understanding how graphical perception informs chart choices. Making intelligent design choices to help users explore. Design principles for layout and navigation. Session 4: Using interactivity  Making effective use of filters to slice and dice data sets. Using layers of information to enable drilldown data exploration. Complenting dashboards with automated alerts and queries. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial “Alan was great to work with, he took us through the concepts behind data visualisation which means our team is now equipped for the future. He has a wide range of experience across the topic that is delivered in a clear, concise and friendly manner. We look forward to working with Alan again in the future.” John Masterson | Chief Product Officer | ImproveWell

To drive actions and get decisions made, you need to be able to present effectively to customers, clients, senior managers or colleagues. The perfect presentation is a potent combination of content, design and delivery  You need to distill down complex concepts, large data sets, intricate processes and innovative ideas. You need to make the right design choices to ensure your slide decks communicate quickly (as well as looking great). And you need the confidence and storytelling techniques to lead your audience through the content.  This course is for anyone who regularly needs to create and deliver presentations for different stakeholders. It will cover how to plan, design and deliver brilliant presentations.  Sample learning content  Session 1: Planning a presentation  Assessing the needs and level of understanding of your audience. Frameworks for building a logical and compelling narrative. Emphasising key messages, while allowing for deep dives and questions. Session 2: Presenting data and processes Understand graphical perception and how people absorb visual information. Effective charts for different types of data stories. How to display processes, timelines and organisational structures. Session 3: Design tricks Using colours to add emphasis and meaning. Creating hierarchies of information to help your audience. Building templates and style guides. Session 4: Delivery techniques Perfecting your performance in-person or online. Dealing with difficult questions and hostile audiences. Refining the beginning, middle and end of your narrative. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial "We’ve now worked with Alan for almost 3 years, and during that time he has continued to deliver the highest quality training for our clients and delegates. Alan’s passionate delivery style has continued to deliver innovative training solutions to over 1500 delegates across the public, private and voluntary sector. Each of our courses with him has always delivered exceptional feedback and satisfaction levels." Joe Barlow | Head of Programme, Understanding ModernGov

Data has become the most important resource for every organisation – but the insights gained from data analysis will only ever be truly valuable if they can be clearly expressed to other people.  This course is for anybody who works with data, and needs to communicate the meaning that's in the numbers to colleagues, customers, bosses or external stakeholders.  It will give you or your team the confidence and skills to translate raw data into compelling visual stories for your key audiences. The principles and skills covered apply to the simplest PowerPoint chart, to more complex interactive visualisations.  We’ll work with you before the course to ensure that we understand your organisation and what you’re hoping to achieve.  Sample learning content Session 1: What makes a great data-driven story The key elements of a successful infographic or presentation. Industry best practice, and discussion of good (and bad) examples. A simple framework for identifying the Audience, Story and Action. Session 2: Data in context How to balance function and aesthetic appeal. Identifying the right graph, chart, infographic or other visual. Framing the data and providing contextual information. Session 3: Designing for the human brain Using colours to add emphasis and meaning. Design and layout principles, and creating hierarchies of information. The principle of ‘self-sufficiency’, and removing clutter. Session 4: Navigation and narrative Tailoring visualisations for different types of communications. Structuring presentations and longer reports. Thinking in layers to create interactive dashboards. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets.
 Testimonial “I was familiar with Alan’s work as a Guardian Masterclass instructor on data visualisation and digital journalism, which made it easy for me to recommend him for onsite training at the Liverpool School of Tropical Medicine. We had a large group of people interested in honing their abilities to depict their research and stories in engaging ways. Alan’s course provided great insight about common communication pitfalls and how to avoid them, how to become better communicators by understanding the audience diversity, and it showcased some great online tools for creating infographics. This should be mandatory training for all students, academics, report writers and those involved with conveying research to the media as it will help increase the clarity and accessibility of our own research stories.”
 Dr Lee Haines | Liverpool School of Tropical Medicine

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

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints