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This course aims to prepare individuals for the AWS Certified Solutions Architect Associate exam. It covers essential AWS services, cloud architecture design, deployment strategies, and best practices for managing various AWS components. Learning Outcomes: Understand the fundamental concepts of AWS Cloud Services and their application in real-world scenarios. Design and implement AWS Storage and Virtual Private Cloud (VPC) solutions. Learn how to design, implement, and manage Compute Services effectively. Master Identity and Access Management (IAM) and its best practices for secure access control. Explore Auto Scaling Solutions and Virtual Network Services to optimize AWS infrastructure. Gain proficiency in deploying applications and databases on AWS. Discover additional AWS services and their integration for comprehensive cloud solutions. Develop insights into achieving operational excellence with AWS services. Why buy this AWS Certified Solutions Architect Associate Preparation? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the AWS Certified Solutions Architect Associate Preparation there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This AWS Certified Solutions Architect Associate Preparation course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This AWS Certified Solutions Architect Associate Preparation does not require you to have any prior qualifications or experience. You can just enrol and start learning.This AWS Certified Solutions Architect Associate Preparation was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This AWS Certified Solutions Architect Associate Preparation is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Introduction 00:03:00 Section 02: Exam Tips and Tricks What is AWS? 00:02:00 Why use AWS? 00:03:00 How to Get Started with AWS 00:04:00 AWS Certifications 00:04:00 Preparation Resources 00:02:00 Benefits of Certification 00:02:00 AWS CSA-A Overview 00:04:00 What's New on the 2020 Updated Exam? 00:03:00 AWS CSA-A Exam Objectives 00:06:00 The Four Key Areas (Compute, Networking, Storage, and Databases) 00:04:00 Master the Knowledge Areas 00:02:00 Use the System 00:05:00 Take Notes 00:03:00 Be Mentally and Physically Prepared 00:04:00 Take the Exam 00:04:00 Section 03: AWS Cloud Services Overview Cloud Computing Defined 00:08:00 Benefits of Cloud Computing 00:10:00 Cloud Computing Models 00:07:00 History 00:07:00 Platform 00:06:00 Services, Part 1 00:10:00 Services, Part 2 00:08:00 Security and Compliance 00:07:00 Regions and Availability 00:06:00 Section 04: AWS Storage Design Storage Services 00:07:00 S3 Storage Class 00:07:00 S3 Terminology 00:09:00 S3 Advanced Features 00:08:00 Creating S3 Buckets Lab 00:08:00 S3 Bucket Properties 00:08:00 S3 Managing Objects Lab 00:11:00 Glacier 00:07:00 Setting up a Glacier Vault Lab 00:08:00 S3 and Tape Gateway 00:06:00 S3 Enhanced Features 00:08:00 Elastic Block Store (EBS) 00:08:00 Creating EBS Volumes Lab 00:07:00 Elastic File System (EFS) 00:07:00 Creating an EFS File System Lab 00:07:00 EFS and PrivateLink 00:03:00 Intro to Amazon FSx 00:06:00 Hands-on with FSx 00:06:00 Integrating on-Premises Storage 00:07:00 Storage Access Security Lab 00:10:00 Storage Performance 00:08:00 Section 05: Virtual Private Cloud (VPC) Virtual Private Cloud (VPC) Overview 00:10:00 Creating a VPC Lab 00:11:00 Configuring DHCP Options Lab 00:04:00 Elastic IP Addresses 00:07:00 Elastic Network Interfaces (ENIs) 00:05:00 Endpoints 00:07:00 VPC Peering 00:08:00 Creating a VPC Peering Connection Lab 00:10:00 Security Groups Overview 00:07:00 Network Address Translation (NAT) 00:11:00 Gateways (VPGs and CGWs) 00:08:00 VPN Configuration Option 00:04:00 Section 06: Compute Services Design EC2 Overview 00:11:00 EC2 Instance Types 00:11:00 EC2 Pricing 00:13:00 EBS and EC2 00:05:00 Section 07: Compute Services Implementation Launching an EC2 Linux Instance Lab 00:13:00 Configuring an EC2 Linux Instance Lab 00:08:00 Setting up an EC2 Windows Instance Lab 00:12:00 Shared Tenancy 00:05:00 Dedicated Hosts 00:08:00 Dedicated Instances 00:06:00 AMI Virtualization 00:12:00 Section 08: Compute Services Management Instance Management 00:09:00 Connecting to Instances Lab 00:09:00 Working with Security Groups 00:10:00 Working with Security Groups Lab 00:10:00 Advanced EC2 Management 00:06:00 AWS Batch 00:06:00 Elastic Container Service (ECS) 00:08:00 Elastic Beanstalk Environment 00:11:00 Section 09: Identity and Access Management (IAM) Identity and Access Management (IAM) Overview 00:07:00 Principals 00:10:00 Root User 00:06:00 Authentication 00:06:00 Authorization Policies 00:13:00 Multi-Factor Authentication 00:08:00 Key Rotation 00:10:00 Multiple Permissions 00:06:00 AWS Compliance Program 00:07:00 AWS Security Hub 00:06:00 Shared Responsibility Models 00:06:00 Section 10: IAM Best Practices User Accounts 00:11:00 Password Policies 00:09:00 Credential Rotation 00:06:00 Principle of Least Privilege 00:05:00 IAM Roles 00:08:00 Policy Conditions 00:08:00 CloudTrail 00:12:00 Section 11: Auto Scaling Solutions Auto Scaling Overview 00:06:00 Auto Scaling Groups 00:04:00 Termination Policies 00:07:00 Auto Scaling Configuration Lab 00:13:00 Launch Methods 00:04:00 Load Balancer Concepts 00:08:00 Elastic Load Balancing (ELB) 00:10:00 Section 12: Virtual Network Services DNS 00:14:00 Configuring DNS Lab 00:07:00 Configuring Route 53 Lab 00:13:00 Configuring ACLs and NACLs Lab 00:09:00 Flow Logs 00:07:00 Section 13: AWS Application Deployment Application and Deployment Services 00:04:00 Lambda 00:06:00 API Gateway 00:09:00 Kinesis 00:06:00 Kinesis Data Streams and Firehose 00:06:00 Kinesis Data Analytics 00:04:00 Reference Architectures 00:06:00 CloudFront 00:10:00 Web Application Firewall (WAF) 00:09:00 Simple Queue Service (SQS) 00:10:00 Simple Notification Service (SNS) 00:08:00 Simple Workflow (SWF) 00:07:00 Step Functions 00:05:00 OpsWorks 00:08:00 Cognito 00:04:00 Elastic MapReduce (EMR) 00:05:00 CloudFormation 00:10:00 CloudFormation Properties 00:03:00 CloudWatch 00:06:00 Trusted Advisor 00:07:00 Organizations 00:09:00 Section 14: AWS Database Design Database Types 00:08:00 Relational Databases 00:08:00 Database Hosting Methods 00:05:00 High Availability Solutions 00:06:00 Scalability Solutions 00:06:00 Database Security 00:08:00 Aurora 00:06:00 Redshift 00:11:00 DynamoDB 00:10:00 Section 15: Database Deployment DynamoDB Tables Lab 00:08:00 MySQL Lab 00:13:00 Configuration Lab 00:13:00 Backups Lab 00:04:00 Restore Lab 00:04:00 Snapshot Lab 00:08:00 Monitoring Lab 00:06:00 Section 16: Additional AWS Services Media Content Delivery 00:13:00 Desktop and Appstreaming 00:06:00 ElastiCache 00:05:00 Security Services Lab 00:12:00 Analytics Engines 00:11:00 Development Operations (DevOps) 00:12:00 AWS Solutions 00:05:00 AWS Transit Gateway 00:03:00 AWS Backup 00:04:00 AWS Cost Explorer 00:04:00 Section 17: Operational Excellence with AWS The Operational Excellence Process 00:08:00 Widget Makers Scenario 00:06:00 Resilient Design 00:08:00 Resilient Design Scenario 00:05:00 Performant Design 00:09:00 Performant Design Scenario 00:06:00 Secure Design 00:08:00 Secure Design Scenario 00:05:00 Cost Optimization 00:07:00 Cost Optimization Scenario 00:05:00 General Best Practices 00:07:00

[Updated: February 2024] [FREE Mental Health Care Training - MCA & DOLS] [FREE Understanding Children & Young People's Mental Health] [FREE Dual Diagnosis Level 2] [FREE EFT- Emotional Freedom Technique] Life's challenges are inescapable, & we could all use some help when things become challenging - someone to bring some light into a grim situation - Counsellors. Whether you're suffering from depression, anxiety, low self-esteem, or need some guidance in your life, counselling can help. Join this Counselling and Psychology course & learn in detail about counselling. This Advanced Diploma in Counselling at QLS Level 7 is endorsed by The Quality Licence Scheme & accredited by CPDQS (with 250 CPD points) to make your skill development & career progression more accessible than ever! Mental health issues can drastically limit a person's ability to live a happy life. Relationships, family life, & jobs may all be affected by them. Mental health issues affect people of all economic, social, & ethnic backgrounds. People of all ages, from children to the elderly, can be affected by depression & anxiety. What do you learn from our Diploma of Counselling and Psychology (Online) Course: With the aid of this Counselling and Psychology course curriculum, you will gain various vital skills & knowledge, including: Have a thorough understanding of theories & models Discover the legal, cultural, & ethical aspects of professional counselling Learn about the use of medication & therapy to treat mental diseases Know in detail about communication skills & empathy Explore many aspects of life coaching & career counselling This training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Progression of Diploma of Counselling and Psychology (Online) Course: After completing this course, you can progress towards- Counselling level 4 Level 2 Certificate in Counselling Skills (RQF) NCFE CACHE Level 3 Diploma in Counselling Skills Level 6 Counselling Advanced Diploma in Counselling at QLS Level 7 course will cover the following topics: Theories and Models Psychotherapy & Psychiatric Disorders Treating Trauma, Stress, and Anxiety Life Coaching Family Law Conflict and Violence Communication Skills 4 Free Gifts are included in this Counselling course Free courses will cover the following topics: Free Course No 01: Mental Health Care Training Mental Capacity Act Decision Making Confidentiality and Record Keeping Authorised Deprivation Legal Background to DOLS Free Course No 02: Understanding Children and Young People's Mental Health Attachment and Relationship Building in Childhood Factors that Influence Development Mental Health Problems in Young and Adults Autism, ADHD and Dyslexia in Young Adults Mental Health Related Legislation in the UK Free Course No 03: Dual Diagnosis Level 2 Drugs and Their Effects Neurophysiology Minimisation and Optical Health Ethical Issues Dual Diagnosis Free Course No 04: EFT - Emotional Freedom Technique Emotional Freedom Technique Applying EFT to Physical Issues Doing Business with EFT Why Choose Our Diploma of Counselling and Psychology (Online) Course: Earn a certificate endorsed by the Quality Licence Scheme & another certificate accredited by CPDQS Get instant access to this Counselling and Psychology course. Learn Counselling and Psychology from anywhere in the world Counselling and Psychology is affordable and simple to understand Counselling and Psychology is entirely online, interactive lesson with voiceover audio Lifetime access to the Counselling and Psychology course materials Counselling and Psychology comes with 24/7 tutor support The demand for Counselling and Psychology personnel has never been greater. Now is a perfect moment to start a career if you are enthusiastic about assisting people & contributing to the health & welfare of individuals, families, & communities. Enrol in the Counselling and Psychology course & assist people to live a fulfilling life. Certificate of Completion After successfully completing this course, you can order your CPD Accredited PDF Certificate (Advanced Diploma in Counselling at QLS Level 7 ) as proof of your achievement. For the Hard Copy certificate, you have to pay £29.99 + Postal Charge. CPD 250 CPD hours / points Accredited by CPD Quality Standards Module 01: Introduction 09:53 1: Introduction Video Preview 01:26 2: Counselling and Counsellors Preview 08:27 Module 02: Theories and Models (Part 1) 12:49 3: Theories and Models of Counselling (Part 1) 12:49 Module 03: Theories and Models (Part 2) 13:48 4: Theories and Models of Counselling (Part 2) 13:48 Module 04: Legal, Cultural and Ethical Issues 12:00 5: Legal, Cultural and Ethical Issues in Professional Counselling 12:00 Module 05: Forms of Psychotherapy 12:03 6: Forms of Psychotherapy 12:03 Module 06: Psychotherapy 09:06 7: Counselling and Psychotherapy 09:06 Module 07: Dynamic Psychotherapy 18:50 8: Dynamic Psychotherapy 18:50 Module 08: Childhood and Adolescent Psychiatric Disorders 14:43 9: Childhood and Adolescent Psychiatric Disorders 14:43 Module 09: Working with Children and Adolescents in Schools 13:34 10: Counselling Children and Adolescents in Schools 13:34 Module 10: Treating Trauma and Substance Abuse 10:59 11: Counselling Trauma and Substance Abuse 10:59 Module 11: Treating Stress and Anxiety Disorders 17:52 12: Module 11: Counselling Stress and Anxiety Disorders 17:52 Module 12: Treating Personality Disorders 25:53 13: Counselling Personality Disorders 25:53 Module 13: Treating Mood Disorders and Depression 12:45 14: Counselling Mood Disorders and Depression 12:45 Module 14: Treating Eating & Sleeping Disorders 27:48 15: Counselling Eating & Sleeping Disorders 27:48 Module 15: Life Coaching and Career 10:12 16: Life Coaching and Career Counselling 10:12 Module 16: Family Law 13:35 17: Family Law 13:35 Module 17: Framing Family Law 13:43 18: Framing Family Law 13:43 Module 18: Marriage in Family Law 09:48 19: Marriage in Family Law 09:48 Module 19: Domestic Violence 14:55 20: Domestic Violence 14:55 Module 20: Couple and Family Counselling 15:18 21: Couple and Family Counselling 15:18 Module 21: Conflict Resolution 09:37 22: Conflict Resolution 09:37 Module 22: Pre-Marital 11:21 23: Pre-Marital Counselling 11:21 Module 23: Affairs 12:57 24: Affairs 12:57 Module 24: Apology & Forgiveness 10:09 25: Apology & Forgiveness 10:09 Module 25: Adapting to Changes 10:18 26: Adapting to Changes 10:18 Module 26: Treating Self-Harm and Suicide 11:31 27: Counselling Self-Harm and Suicide 11:31 Module 27: Engaging and Assessing the Patients 12:45 28: Engaging and Assessing the Clients 12:45 Module 28: Helping the Client in Crisis 08:38 29: Helping the Client in Crisis 08:38 Module 29: Crisis Intervention 08:03 30: Crisis Intervention 08:03 Module 30: Low Intensity CBT Treatment 10:41 31: Low Intensity CBT Treatment 10:41 Module 31: Medication and Therapy in the Treatment of Mental Illness 14:38 32: Medication and Therapy in the Treatment of Mental Illness 14:38 Module 32: Communication Skills and Empathy 12:36 33: Communication Skills and Empathy in Counselling 11:36 34: Final Words Preview 01:00 Assessment (Optional) 04:00 35: Assignment - Advanced Diploma in Counselling at QLS Level 7 Preview 04:00 Order Your Certificate 02:00 36: Order Your CPD Certificate 01:00 37: Order Your QLS Endorsed Certificate 01:00 Recommendations! 01:00 38: Take your career to the next level with HF Online! 01:00 Free Course No 01: Mental Health Care Training - MCA & DOLS 1:54:42 39: Module 01: The Mental Capacity Act 08:36 40: Module 02: Assessment of Mental Capacity 07:27 41: Module 03: Best Interest Decision Making 11:33 42: Module 04: Advocacy and Advance Planning 07:57 43: Module 05: Providing Care or Treatment to People Who Lack Capacity 07:15 44: Module 06: Confidentiality and Record Keeping 06:07 45: Module 07: Public Bodies and Services Created by MCA Act 2005 04:37 46: Module 08: Interface with Legislation, Policy and Procedures 08:26 47: Module 09: Deprivation of Liberty Safeguards 09:11 48: Module 10: Authorised Deprivation 11:18 49: Module 11: Legal Background to DOLS 07:52 50: Module 12: The MCA (2005) and DOLS During a Pandemic 09:46 51: Module 13: Liberty Protection Safeguards (LPS) 14:37 Free Course No 02: Understanding Children and Young People's Mental Health 3:40:24 52: Module 01: Introduction to Mental Health 14:09 53: Module 02: Child Psychology 21:26 54: Module 03: Attachment and Relationship Building in Childhood 28:33 55: Module 04: Impacts of Separation and Loss on Attachment 16:01 56: Module 05: Factors that Influence Development 18:39 57: Module 06: Mental Health Problems in Young and Adults 10:22 58: Module 07: Other Mental Health Problems in Young and Adults 10:43 59: Module 08: Autism, ADHD and Dyslexia in Young and Adults 21:00 60: Module 09: Dealing With Autism, ADHD and Dyslexia in Young and Adults 21:42 61: Module 10: The Self Harming Behaviour 13:14 62: Module 11: Mental Health Treatment and Medicine 13:17 63: Module 12: Mental Health over Life Span and Society in the UK 09:49 64: Module 13: Mental Health Related Legislations in the UK 21:29 Free Course No 03: Dual Diagnosis Level 2 4:31:11 65: Module 01: Dual Diagnosis: A Challenge of New Era 20:19 66: Module 02: Drugs and Their Effects 24:37 67: Module 03: Mental Health: An Introduction 33:27 68: Module 04: Brain Works - Neurophysiology 25:11 69: Module 05: Harm Minimisation and Optical Health 32:33 70: Module 06: Models of Care and Dual Diagnosis 23:36 71: Module 07: Psychological Interventions in Dual Diagnosis 13:28 72: Module 08: Practice and Policy Issues 13:50 73: Module 09: Ethical Issues and Mental Health Act 19:46 74: Module 10: The Assessment Process in Dual Diagnosis 23:13 75: Module 11: Treatment in Dual Diagnosis 41:11 Free Course No 04: EFT - Emotional Freedom Technique 1:04:12 76: Module 01: What Is EFT (Emotional Freedom Technique)? 06:36 77: Module 02: EFT and Emotions, The Brain (EFT with the body) 06:46 78: Module 03: EFT Procedure 09:07 79: Module 04: Detailed Instructions of EFT 07:37 80: Module 05: Applying EFT to Physical Issues 08:13 81: Module 06: Treating Children with EFT 07:42 82: Module 07: EFT That Can Improve/ Heal Life & Tips 08:17 83: Module 08: Doing Business with EFT 09:54 Who is this course for? Anyone from any background can enrol in this Counselling and Psychology course. Nevertheless, this course is particularly recommended for- Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Requirements Students seeking to enrol in the Diploma of Counselling and Psychology (Online) Course should meet the following requirements; Basic knowledge of English Language Be age 16 years or above Basic Knowledge of Information & Communication Technologies for studying online or digital platform. Career path This Diploma of Counselling and Psychology (Online) Course will help you when you apply for positions like: School counsellor Mental Health Social Worker Psychologist Mental Health Counsellor Operating Your Own Counselling Practice Careers Counsellor or Adviser Drug and Alcohol Counsellor Family and Marriage Counsellor Rehabilitation Counsellor Certificates Certificate Accredited by CPDQS Digital certificate - Included Assessment Process You have to complete the course assignment questions given at the end of the course and score a minimum of 60% to pass the exam and achieve a Quality Licence Scheme endorsed certificate. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing theexam, you will be able to request a certificate with additional cost that has been endorsed by the Quality Licence Scheme. Advanced Diploma in Counselling at QLS Level 7 Hard copy certificate - £139 Show off Your New Skills with a Certificate of Completion After successfully completing the course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of - 139 GBP inside the UK 149 GBP (including postal fees) for International Delivery Certificate Accredited by CPDQS Upon finishing the course, you need to order to receive aCertificate Accredited by CPDQSthat is accepted all over the UK and also internationally. The pricing schemes are: 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International Delivery)

Who is this course for? Sketchup Artificial Intelligence Training Course. Mastering SketchUp Artificial Intelligence (AI) is essential for designers, offering automation, efficiency, and innovative solutions. It saves time, enhances visualizations, fosters collaboration, and future-proofs skills, ensuring a competitive edge in the design industry. Click here for more info: Website How to Book? 1-on-1 training. Customize your schedule from Mon to Sat from 9 am to 7 pm Call to book  Duration: 16 hours. Method: In-person or Live Online Sketchup and (Artificial Intelligence) Stable Diffusion Rendering Course (16 hours) Module 1: Sketchup Fundamentals (2 hours) Sketchup software overview and interface navigation Introduction to basic drawing tools and fundamental geometry creation techniques Module 2: Texturing and Material Mastery (2 hours) Application of textures and customization of materials Exploration of texture mapping and comprehensive material libraries Module 3: Illumination and Shadows (2 hours) Comprehending lighting principles and strategic light placement Crafting realistic shadows and reflections Module 4: Advanced Modeling Techniques (3 hours) Creating intricate shapes and harnessing advanced modeling tools Efficiently managing groups, components, and modifiers Module 5: Stable Diffusion Rendering (2 hours) Initiating stable diffusion rendering Optimizing rendering settings for superior outcomes Module 6: Scene Composition and Camera Configuration (2 hours) Exploring composition principles and camera perspectives Scene management and creation of captivating walkthrough animations Module 7: Rendering Optimization Strategies (2 hours) Techniques for optimizing models to expedite rendering Application of render passes and post-processing methods Module 8: Real-World Projects and Portfolio Building (1 hour) Application of acquired skills in completing authentic projects Professional portfolio presentation techniques Optional: Stable Diffusion and Python Installation (Additional 10 hours) Module 1: Introduction to Stable Diffusion and Python Comprehensive understanding of Stable Diffusion and Python's significance Module 2: System Prerequisites Hardware and software requirements for successful installation Module 3: Python Installation Guide Step-by-step installation process for various operating systems Module 4: Configuring Python Environment Configuration of environment variables and package managers Module 5: Stable Diffusion Installation Downloading and installing the Stable Diffusion package Module 6: Setting Up the Development Environment Configuration of integrated development environments (IDEs) for Python and Stable Diffusion Module 7: Troubleshooting and Common Issues Identification and resolution of common installation errors Module 8: Best Practices and Recommendations Effective management of Python and Stable Diffusion installations Module 9: Practical Applications and Projects Hands-on exercises exemplifying the practical usage of Stable Diffusion and Python Module 10: Advanced Topics (Optional) Exploration of advanced features and techniques Stable Diffusion https://stablediffusionweb.com https://stable-diffusion-ui.github.io https://stability.ai/stable-diffusion Upon successful completion of the Sketchup and Stable Diffusion Rendering Course with a focus on AI image rendering, participants will achieve the following: 1. Mastery of AI Image Rendering: Attain expertise in employing AI-powered rendering techniques to produce realistic and top-quality visualizations. 2. Proficiency in Sketchup for 3D Modeling: Navigate the software adeptly, utilize drawing tools with proficiency, and craft intricate 3D models. 3. Enhanced Rendering Optimization: Implement AI-based rendering to enhance model visuals, resulting in faster rendering times and superior image quality. 4. Application of AI-driven Lighting and Shadows: Employ AI algorithms for precise lighting placement, shadows, and reflections, elevating the realism of renderings. 5. Development of a Professional Portfolio: Present AI-rendered projects within a polished professional portfolio, highlighting advanced image rendering capabilities. 1. Mastering Sketchup: Attain proficiency in Sketchup, a renowned and user-friendly 3D modeling software, equipping you with the skills needed to adeptly create and manipulate 3D models. 2. Advanced Rendering Expertise: Explore stable diffusion rendering, an avant-garde technique that simplifies the creation of realistic and high-quality renderings. Broaden your rendering capabilities, producing visually stunning representations of your designs. 3. Practical Industry Applications: Cultivate practical skills relevant to diverse industries, encompassing architecture, interior design, product development, and visualization. Elevate your professional portfolio with captivating renderings that showcase your design prowess. 4. Interactive Learning: Participate in hands-on exercises and projects that promote active learning and the practical application of concepts. Benefit from personalized feedback and expert guidance, ensuring your continuous progress throughout the course. 5. Career Advancement: Elevate your career prospects by adding valuable skills to your toolkit. Proficiency in crafting detailed 3D models and impressive renderings through stable diffusion techniques opens doors to diverse job opportunities within the design and visualization sector. 6. Flexibility and Convenience: Access course materials online and learn at your own pace. Enjoy the flexibility of tailoring the coursework to your schedule, allowing you to harmonize your learning journey with other commitments. Course Advantages: Tailored Learning: Enjoy personalized 1-on-1 sessions, accommodating your schedule from Monday to Saturday, 9 am to 7 pm. Mastery of Sketchup: Develop proficiency in the widely-used and user-friendly 3D modeling software, enabling efficient creation and manipulation of 3D models. Advanced Rendering Proficiency: Acquire expertise in stable diffusion rendering for producing realistic, high-quality renderings that enhance the visual appeal of your designs. Practical Applicability: Develop practical skills applicable across diverse domains, including architecture, interior design, product development, and visualization, enriching your professional portfolio. Interactive Practical Experience: Engage in hands-on exercises with personalized guidance from seasoned instructors, ensuring consistent progress in your skillset. Career Progression: Boost your career opportunities by gaining valuable skills in 3D modeling and generating impressive renderings through stable diffusion techniques. Comprehensive Support: Benefit from free portfolio reviews, mock interviews, and career advice, providing additional resources to enhance your professional journey.

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Microsoft Power BI Masterclass 2021 Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Microsoft Power BI Masterclass 2021 Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Microsoft Power BI Masterclass 2021 Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Microsoft Power BI Masterclass 2021 Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Microsoft Power BI Masterclass 2021? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Microsoft Power BI Masterclass 2021 there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Microsoft Power BI Masterclass 2021 course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill.   Prerequisites This Microsoft Power BI Masterclass 2021 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Microsoft Power BI Masterclass 2021 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Microsoft Power BI Masterclass 2021 is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: Introduction Welcome! 00:01:00 What is Power BI? 00:03:00 Download & Installing Power BI Desktop 00:04:00 Getting to know the interface 00:03:00 Mini Project: Transform Data 00:07:00 Mini Project: Visualize Data 00:05:00 Mini Project: Creating a Data Model 00:07:00 Course Outline: What will you learn in this course? 00:05:00 How to learn best with this course? 00:03:00 Section 02: Preparing our Project Creating our initial project file 00:04:00 Working with the attached project files 00:04:00 Section 03: Data Transformation - The Query Editor Exploring the Query Editor 00:06:00 Connecting to our data source 00:07:00 Editing rows 00:08:00 Changing data types 00:08:00 Replacing values 00:03:00 Close & Apply 00:03:00 Connecting to a csv file 00:03:00 Connecting to a web page 00:05:00 Extracting characters 00:06:00 Splitting & merging columns 00:09:00 Creating conditional columns 00:06:00 Creating columns from examples 00:09:00 Merging Queries 00:17:00 Pivoting & Unpivoting 00:06:00 Appending Queries 00:08:00 Practice & Solution: Population table 00:15:00 The Fact-Dimension-Model 00:09:00 Practice: Load the dimension table 00:04:00 Organizing our queries in groups 00:03:00 Entering data manually 00:05:00 Creating an index column 00:03:00 Workflow & more transformations 00:05:00 Module summary 00:05:00 Exercise 1 - Instruction 00:02:00 Exercise Solution 00:11:00 Section 04: Data Transformation - Advanced Advanced Editor - Best practices 00:09:00 Performance: References vs. Duplicating 00:10:00 Performance: Enable / Disable Load & Report Refresh 00:05:00 Group by 00:05:00 Mathematical Operations 00:05:00 Run R Script 00:15:00 Using Parameters to dynamically transform data 00:06:00 M formula language: Basics 00:07:00 M formula language: Values, Lists & Tables 00:14:00 M formula language: Functions 00:13:00 M formula language: More functions & steps 00:05:00 Exercise 2 - Instructions 00:01:00 Exercise 2 - solution 00:05:00 Section 05: Creating a Data Model Understanding the relationship 00:05:00 Create & edit relationships 00:06:00 One-to-many & one-to-one relationship 00:06:00 Many-to-many (m:n) relationship 00:08:00 Cross filter direction 00:06:00 Activate & deactivate relationships 00:06:00 Model summary 00:03:00 Exercise 3 Create Model 00:02:00 Exercise 3 Solution 00:02:00 Section 06: Data Visualization Our first visual 00:08:00 The format tab 00:12:00 Understanding tables 00:10:00 Conditional formatting 00:09:00 The Pie Chart 00:06:00 All about the filter visual 00:13:00 The filter pane for developers 00:09:00 Cross filtering & edit interactions 00:04:00 Syncing slicers across pages 00:07:00 Creating drill downs 00:08:00 Creating drill throughs 00:07:00 The tree map visual 00:07:00 The decomposition tree 00:05:00 Understanding the matrix visual 00:05:00 Editing pages 00:07:00 Buttons & Actions 00:09:00 Bookmarks to customize your report 00:10:00 Analytics and Forecasts with line charts 00:10:00 Working with custom visuals 00:07:00 Get data using R Script & R Script visual 00:08:00 Asking questions - Q&A visual 00:04:00 Wrap up - data visualization 00:08:00 Section 07: Power BI & Python Python in Power BI - Plan of attack 00:03:00 Setting up Python for Power BI 00:03:00 Transforming data using Python 00:11:00 Creating visualizations using Python 00:08:00 Violin plots, pair plots & ridge plots using Python 00:15:00 Machine learning (BayesTextAnalyzer) using Python 00:00:00 Performance & Troubleshooting 00:03:00 Section 08: Storytelling with Data Introduction 00:01:00 Show Empathy & Identify the Requirement 00:03:00 Finding the Most Suitable KPI's 00:02:00 Choose an Effective Visualization 00:04:00 Make Use of Natural Reading Pattern 00:03:00 Tell a Story Using Visual Cues 00:05:00 Avoid Chaos & Group Information 00:02:00 Warp Up - Storytelling with Data 00:02:00 Section 09: DAX - The Essentials Introduction 00:03:00 The project data 00:04:00 Measures vs. Calculated Columns 00:15:00 Automatically creating a date table in DAX 00:08:00 CALENDAR 00:05:00 Creating a complete date table with features 00:04:00 Creating key measure table 00:03:00 Aggregation functions 00:06:00 The different versions of COUNT 00:14:00 SUMX - Row based calculations 00:09:00 Section 10: DAX - The CALCULATE function CALCULATE - The basics 00:11:00 Changing the context with FILTER 00:07:00 ALL 00:08:00 ALL SELECTED 00:03:00 ALL EXCEPT 00:07:00 Section 11: Power BI Service - Power BI Cloud How to go on now? 00:03:00 Power BI Pro vs Premium & Signing up 00:04:00 Exploring the interface 00:04:00 Discovering your workspace 00:03:00 Connecting Power BI Desktop & Cloud 00:04:00 Understanding datasets & reports 00:03:00 Working on reports 00:04:00 Updating reports from Power BI Desktop 00:04:00 Creating and working with workspaces 00:07:00 Installing & using a data gateway 00:13:00 Get Quick Insights 00:03:00 Creating dashboards 00:04:00 Sharing our results through Apps 00:10:00 Power BI Mobile App 00:05:00 Creating the layout for the Mobile App 00:04:00 Wrap up - Power BI Cloud 00:07:00 Section 12: Row-Level Security Introduction 00:03:00 Creating a Row-Level Security 00:05:00 Row-Level Security in the Cloud 00:04:00 Row-Level Security & Data Model 00:05:00 Dynamic Row-Level Security 00:07:00 Dynamic Many-to-Many RLS 00:04:00 Hierarchical Row-Level Security 00:13:00 Section 13: More data sources JSON & REST API 00:10:00 Setting up a local MySQL database 00:14:00 Connecting to a MySQL database in Power BI 00:05:00 Connecting to a SQL database (PostgreSQL) 00:05:00 Section 14: Next steps to improve & stay up to date Congratulations & next steps 00:06:00 The End 00:01:00 Resources Resources - Microsoft Power BI Masterclass 2021 00:00:00 Assignment Assignment - Microsoft Power BI 00:00:00

Who is this Course for? Mastering Unity 3D Intermediate Level Training Course Our Unity 3D training programs are tailored for individuals aspiring to become game developers, creative minds, & enthusiasts keen to explore the realm of game development. Learn 3D & 2D games or looking to master Unity's cross-platform features. Click here for more info: Website Duration: 20 hours Approach: 1-on-1 Individualized Attention & Customized Content Timetable: Scheduling any hour between 9 am and 7 pm, from Mon to Sat Course Overview: Sessions 1-2: Introduction to Unity Familiarize yourself with Unity's interface and workspace Create a new Unity project and set up the initial scene and navigation Sessions 3-4: Asset Management Explore and download free assets Import various asset types into Unity and understand their applications Sessions 5-6: Environmental Design Utilize Unity's terrain tools for environment creation Enhance scenes with textures, materials, and environmental objects Sessions 7-8: Character Development Design 3D character models Rig, animate, and import characters into Unity Sessions 9-10: Player Interaction Set up player controls and script basic movements Implement camera controls for seamless gameplay experiences Sessions 11-12: Physics and Realism Understand and implement physics in Unity Configure collisions, gravity, force, and torque for realistic interactions Sessions 13-14: Audio Enhancement Master audio implementation with sound effects and background music Fine-tune volume and pitch for immersive gameplay Sessions 15-16: Lighting and Visual Effects Employ advanced lighting techniques, including dynamic day-night cycles Enhance visuals with lens flares and particle systems Sessions 17-18: User Interface Design Construct user interfaces using Unity's canvas system Integrate interactive elements such as buttons and menus, ensuring smooth functionality Sessions 19-20: Optimization and Performance Implement optimization techniques and utilize the profiler for performance analysis Improve frame rates and reduce memory usage for seamless gameplay Session 21-22: Multiplayer Integration Explore multiplayer implementation and set up local multiplayer games Session 23-24: Mobile Game Development Discover mobile game development in Unity Build, deploy, and optimize games for mobile devices, focusing on performance and controls Session 25: Advanced Topics Delve into advanced scripting techniques, including coroutines, delegates, and events Explore shader programming and visual effects, and venture into VR development with Unity and Oculus Quest Final Project: Create a Comprehensive Game Test the game thoroughly, identify and resolve bugs Make necessary adjustments and improvements for a polished final product Experience the Real-Time Development Platform: Unleash your creativity and create 3D, 2D, VR, and AR experiences across various industries, including games, automotive, AEC, film, and more. Unity Pro offers a complete solution to develop better, iterate faster, and grow your business. Enjoy amazing games and immersive experiences with multi-platform support. Get started today: Unity Pro. Learning Outcomes: Participants will gain expertise in Unity 3D, mastering asset management, environmental design, character animation, player interaction, physics, audio, lighting, UI, optimization, and advanced scripting. They will develop a complete game, honing skills in debugging and project completion. Career Opportunities: Graduates can pursue roles as Game Developers, Mobile Game Developers, VR/AR Developers, Game Designers, UI/UX Designers, Game Testers, Indie Game Developers, Educational Game Developers, Freelance Developers, or Game Development Instructors, leveraging their Unity 3D skills for diverse and exciting career paths in the gaming industry. Skills Acquired: Participants in the Mastering Unity 3D Intermediate Level Training Course will gain advanced proficiency in Unity 3D game development, including: Advanced 3D Game Development Techniques Real-time Physics and Animation Skills Multiplatform Game Deployment Expertise Job Opportunities: Upon completion, individuals can pursue roles such as: Game Developer Unity 3D Programmer AR/VR Developer Interactive Simulation Designer This course equips participants with the expertise required for exciting opportunities in game development studios, AR/VR companies, and interactive media agencies, setting the stage for a successful career in the gaming and simulation industry. Course Advantages: Comprehensive Unity Mastery: Develop expertise in various Unity aspects, including game design, scripting, animation, and optimization. Hands-On Project Experience: Engage in practical projects mirroring real-world game development, enhancing your skills and portfolio. 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The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Complete Python Machine Learning & Data Science Fundamentals there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Complete Python Machine Learning & Data Science Fundamentals course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

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Irrigation Design (2 hours) Design and edit efficient irrigation systems and zones Integrate irrigation components into site plans V. 3D Visualization (3 hours) Create captivating 3D models with realistic textures and materials Enhance designs with advanced lighting and special effects VI. Customization (1 hour) Tailor the interface for efficient landscape design Create custom object styles and resource libraries VII. Collaboration and Sharing (1 hour) Seamlessly import/export data from other platforms Share designs effectively with colleagues and collaborators VIII. Conclusion and Next Steps (1 hour) Review course content comprehensively Receive guidance on further learning resources Engage in a Q&A session and provide valuable feedback Enhance your landscape design expertise and unleash your creativity. Enroll now in our Vectorworks Landmark Basic to Intermediate Training and transform your designs. Download Vectorworks Landmark By the end of the Vectorworks Landmark Training Course, participants will: Understand the key features and functionalities of Vectorworks Landmark for landscape design. Demonstrate proficiency in using essential tools for site analysis, site plans, and hardscape design. Create detailed planting plans, selecting appropriate plants, and understanding their compatibility and growth patterns. Design efficient and effective irrigation systems, including generating irrigation reports. Create 3D visualizations of landscape designs, applying textures, materials, lighting, and special effects. Customize the interface and create personalized object styles and resources. Collaborate and share landscape design drawings with other software users. Have the foundation to pursue further learning and exploration in landscape design using Vectorworks Landmark. Mastering Foundations Begin your project by organizing your files and importing survey data. Learn to sketch existing buildings using Building Shell tools and model neighboring structures with Massing Model. Explore different methods for laying out survey points and marking existing features with precision. Objectives: Review File Organization Techniques Import Survey Data (DWG Import) Create Building Structures with Building Shell Tools Utilize Triangulation and Arc Tool for Precision Master Various Tape Measurement Techniques Elevating Your Design Enhance your survey with detailed ground, existing trees, and fences. Conduct shadow analysis to optimize planting locations. Dive into the Vectorworks Plant tool, your key design companion. Objectives: Develop Detailed Ground Surfaces Incorporate Existing Trees and Fences Design with Railing Fence Tool Conduct Shadow Analysis using Heliodon Tool Utilize Plant Tool Modes for Plant Placement Access Existing Plant Libraries and Customize Plants in 2D/3D Crafting Landscapes Create vibrant plant mixes using Landscape Area tool and apply them across your site models. Design intricate hardscapes, aligning them effortlessly even in complex paving scenarios. Learn to use components for detailed reporting, cut and fill calculations, and precise detailing. Explore custom object creation and site furniture placement. Objectives: Design Landscape Areas and Define Custom Plant Mixes Create Hardscapes and Define Custom Paving Constructions Generate Reports and Tags for Landscape Areas and Hardscapes Access and Manage Objects in Resource Manager Craft Custom Objects and Site Furniture Polished Presentation Present your designs professionally using Sheet layers and viewports. Create Section viewports to cut through your model and Detail viewports to focus on specific areas. Enhance visual appeal with mood boards and annotations, ensuring a refined, detailed presentation. Objectives: Craft Sheet Layers for Presentation Create Plan, Elevation, and Perspective Viewports Generate Section and Detail Viewports Annotate Viewports for Clear Communication Incorporate Images and Plant Reports for Comprehensive Presentations Master Vectorworks Landmark: Gain expertise in essential and advanced 2D/3D landscape design tools for precision and efficiency. Boost Efficiency: Learn time-saving techniques and workflows tailored to Vectorworks Landmark, enhancing productivity. Versatile Landscape Skills: Develop proficiency in site analysis, planting plans, hardscapes, and irrigation systems for diverse projects. Industry-Ready Expertise: Acquire sought-after skills in landscape architecture, paving the way for career growth. Flexible Learning: Access recorded lessons for convenient review and receive lifetime email support for ongoing guidance.