2431 Courses in Cardiff delivered Live Online

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

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

About this Training Course Oil & Gas professionals increasingly need to translate complex findings, analysis and recommendations for effective decision-making. If you face challenges in getting your findings into paper, you will benefit from this training course. The Technical Report Writing and Presentation Skills for Oil & Gas Engineers and Technical Professionals course focuses on the unique needs of technical professionals who write for both technical and non-technical readers. This separately bookable training course will demonstrate how technical professionals can use their technical knowledge and logical edge to write in a reader-friendly style, produce grammatically accurate reports and persuasively communicate for buy-in purposes. An ILM Recognised programme. Training Objectives LEARNING OUTCOMES FOR TECHNICAL REPORT WRITING SKILLS By the end of this course, participants will be able to: Write and turn-around accurate technical documents quickly to meet deadlines and productivity goals Understand how technical reports should be structured by applying a systematic approach to the writing task, involving planning, drafting, revision and production Use clear & powerful language to target and persuade readers for positive results Use tried and tested proof reading techniques to check and review documents more effectively Identify and avoid common pitfalls in technical report writing LEARNING OUTCOMES FOR TECHNICAL PRESENTATION SKILLS By the end of this course, participants will be able to: Present and sell your technical presentation more effectively both internally and externally Plan and structure your meetings and presentations for maximum effect Capture your technical and non-technical audience by delivering your presentation with power and authority Handle questions, interruptions and objections with confidence Target Audience This programme has been researched and developed for all Oil & Gas Engineers and Technical Professionals Course Level Basic or Foundation Trainer Your course leader managed the Business Skills Unit of the British Council programmes as well as oversee all training-related matters from 1997. The trainer considers himself a trainer first and specialises predominantly in high-level writing and technical report writing programmes. In addition to conducting training in Technical Writing, the trainer has also been the chief editor for many large writing projects. These include a year-long project editing the entire Start-Up Manual (including the Black Start Manual) for Nippon Oil's Helang Integrated Platform, a 4-month project rewriting the manuals for the Puteri Dulang FSO off Terengganu, and editing the current revision of the PETRONAS Procedures and Guidelines for Upstream Activities (PPGUA). 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

Simply speaking, Life Coaching is about raising awareness of how we can move from A to B. Sometimes we don't know what place B is, and we can use Coaching to gain clarity on what B looks and feels like. Life Coaching is non-directive, which means as a Coach, I help you to unlock your potential rather than tell you what to do. The experience creates a space for accountability and motivation to take positive action. ​ My role as your Holistic Coach is to provide you with a safe space for you to ground, explore & embrace your emotions, claim your personal power to design & live your dream life.

The Forensic Analysis Bootcamp is an 8-week deep-dive into forensic equity analysis, featuring a 90-minute Zoom workshop each week. The content includes extensive use of real-life case studies and covers stocks spanning a wide range of sectors and regions. You will learn how companies manipulate expenses and inflate profits, how to spot balance sheet issues, weaknesses of the cash flow statement and issues and more.

Solution-Focused Brief Therapy (SFBT) Package: Unlock Your Strengths, Embrace Your Solutions Miss Date Doctor’s Solution-Focused Brief Therapy (SFBT) package is your ticket to positive change and growth. SFBT is a future-oriented, goal-directed therapy that focuses on exploring your strengths and resources to create practical solutions. Our expert therapists will work with you to identify your goals and design a roadmap for success. You’ll harness your innate abilities to overcome challenges and create lasting positive changes in your life. Experience the power of empowerment as you uncover your potential and embrace solutions that align with your values. The SFBT package offers a transformative experience, setting you on a path to a more fulfilling and purpose-driven life. 3 X 1 HOUR SESSION https://relationshipsmdd.com/product/solution-focused-brief-therapy-package-2/

Global leading Asset Management course online. This online IAM Certificate course will be hosted through Teams.