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Executive AI Coaching: Boost Your Leadership with Generative AI Unlock the power of AI for your business with personalised executive coaching. Paul Addicott-Evans, founder of AECS, offers bespoke 1-on-1 sessions to transform leaders into AI champions. Enhance productivity, drive innovation, and stay ahead in the AI revolution. 20+ years of tech and business expertise. Tailored for C-suite, senior leaders, and entrepreneurs. Elevate your leadership—master generative AI today!

Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

Autocad face to face training customised and bespoke.

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CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.

12 week nutrition transformation. One to one and group support via live webinars and at home preparation. Get your health goals back on track with this guided nutrition course.

This course accompanies your Practitioner diploma in clinical hypnotherapy, its a practical Hypnotherapy Training course: It's 5-Days of immersive practice. Dive into the practical implementation of clinical hypnotherapy with 5 intensive days of training. These training days are designed to equip you with essential hands-on skills for immediate application. These training days invite you to experience and practice with guidance the tools and techniques taught in the first 5 modules of the practitioner diploma in clinical hypnotherapy. Across these training days, you will actively learn to: * Induce Hypnosis & Build Rapport: Master various hypnotic inductions and communication techniques to effectively guide clients into a trance state. * Implement Suggestion & Regression Therapy: Gain practical experience in crafting and delivering powerful suggestion therapy, along with exploring regression techniques to address root causes of challenges. * Apply Advanced Language Patterns: Develop and refine your use of hypnotic language for effective client consultations, rapid transformation, and facilitating positive behavior and state changes. * Address Specific Client Needs: Learn practical methods for rapid phobia release, managing anxiety, overcoming fears, and applying solution-focused techniques to help clients achieve their desired outcomes. * Prepare for Practice: Begin to understand the fundamentals of setting up and developing your own clinical hypnotherapy practice, preparing you for real-world application. This immersive training emphasises hands-on practice, ensuring you gain the confidence and capability it accompanies the accademic part of your self directed learning to begin your journey in clinical hypnotherapy.

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https://www.valuex2.com/agile-hr-certification/ https://www.linkedin.com/company/80563537/

https://www.valuex2.com/icagile-business-agility-foundations-certification-training/ https://www.linkedin.com/company/80563537/