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Getting Started The ILM Level 3 Leadership and Management course is perfect for individuals who have management responsibilities but lack formal training and are committed to enhancing their skills. The course is especially beneficial for team leaders looking to advance to the next management level and managers who must guide their teams through organisational changes, budget reductions, or other challenging situations. Through this ILM Level 3 Leadership and Management course, you will develop leadership skills, improve decision-making capabilities, hone management techniques, enhance team performance, and gain a deeper understanding of organisational behaviour. The course will also provide opportunities for practical application of skills in real-world scenarios and open doors to further career advancement. You will have the flexibility to tailor your learning experience to align with your career aspirations and professional development goals through an extensive selection of units. Key Benefits For Learners Acquire a range of management skills and apply them in your current role Strengthen your leadership capabilities to inspire and empower teams, and skilfully navigate relationships Elevate your leadership and management proficiency by leveraging your personal knowledge, values, and driving force For Organisations Effective and confident First line managers Better relationships and healthy communication within teams Proven skills: Managers will demonstrate the ability to apply their new skills to drive success in your organisation Equip your managers with the tools to continuously develop their own skills and abilities Career Pathways The ILM Level 3 Leadership and Management can open many career pathways including, but not limited to: Team Leader, with an estimated average salary of £30,051 per annum Supervisor, with an estimated average salary of £33,000 per annum Shift Manager, with an estimated average salary of £35,216 per annum Project Officer, with an estimated average salary of £36,451 per annum About Awarding Body Institute of Leadership & Management (ILM) is a professional body that helps people worldwide improve their leadership capabilities and advance their careers. All ILM qualifications are awarded by The City and Guilds of London Institute, founded in 1878 and incorporated into the Royal Charter. ILM qualifications are regulated and approved by Ofqual, the governing body for qualifications in the UK. What is included? Learn 100% online at your own pace Dedicated support from expert tutors Dedicated Support Desk Portal: You can raise queries, request tutor support and ask for a call back whenever you need guidance and assistance. Elevate Knowledge: Your tutors will provide formative assessment feedback for each module, helping you improve your achievements throughout the program Schedule online personal tutor meetings whenever you want, which will help you get the most out of your studies and provide guidance, support and encouragement 10 months support period 24-hour access to the online learning platform 'MyLearnDirect' Schedule live online classes for each module at your convenience. (Blended learning only) Quality learning resources and study guides developed by ILM-approved tutors. All assessment materials are conveniently accessible through the online learning platform 'MyLearnDirect' Induction: We offer online and flexible learning induction to help you settle in and prepare for your online studies ILM Membership - You will receive 12 months of the Institute of Leadership & Management membership, bringing access to a wealth of resources to support your leadership development. ILM Digital credentials - Validate your skills and share achievements anywhere, anytime using Digital Credentials Assessment For each module you study, you will complete a written assignment of 2000 to 2500 words and submit it online at your MyLearnDirect learning portal. The submitted assignments will be assessed by your ILM-approved tutor. Entry Requirements ILM Level 3 Leadership and Management is designed for new aspiring team leaders, which gives an in-depth introduction to the role and responsibilities of a team leader. To be eligible for this course, you must: Be 18 years of age and over Have considerable work experience as a team leader or supervisor or a similar role Possess the ability to complete the Level 3 course Our friendly admissions advisors will provide the best advice, considering your needs and goals.  Progression Successful learners may progress to a range of qualifications including the following: ILM Level 3 Diploma in Facilities Management ILM Level 4 Award, Certificate or Diploma in Leadership and Management Why gain a ILM Qualification? The Level 3 Certificate in Leadership and Management is ideal for individuals with management responsibilities who need formal training and are serious about developing their abilities. The course is made up of a wide range of units covering core management skills - such as understanding how to organise and delegate - plus skills in communication, team leadership, change, innovation and managing people and relationships. This flexibility in unit choice allows the coourse to be tailored to meet the needs of the individual and employer. Successful completion of the course could lead you to progression to a range of qualifications including: ILM Level 3 Diploma in Leadership and Management ILM Level 3 Certificate in Coaching and Mentoring ILM Level 4 Award, Certificate or Diploma in Leadership and Management ILM graduates achieve remarkable things: An impressive 70,000 people take ILM qualifications every year, with 93% of employers agreeing that their managers improved after completion. ILM Membership - All ILM learners receive a minimum of 12 months membership of the Institute of Leadership & Management, bringing access to a wealth of resources to support their leadership development ILM Digital credentials - Validate skills and share achievements anywhere, anytime using Digital Credentials Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Managing Risk in the Workplace Reference No : 8600-403 Credit : 3 || TQT : 30 UNIT2- Developing People in the Workplace Reference No : 8600-405 Credit : 5 || TQT : 50 UNIT3- Understand How to Lead Effective Meetings Reference No : 8600-328 Credit : 2 || TQT : 20 UNIT4- Leading and Motivating a Team Effectively Reference No : 8600-341 Credit : 2 || TQT : 20 UNIT5- Developing Own Leadership Capability Using Action Learning (Diploma only) Reference No : 8600-342 Credit : 10 || TQT : 100 UNIT6- Understanding Change in the Workplace Reference No : 8600-209 Credit : 2 || TQT : 20 UNIT7- Developing Yourself as an Effective Team Member Reference No : 8600-230 Credit : 3 || TQT : 30 UNIT8- Managing Equality and Diversity in Own Area Reference No : 8600-402 Credit : 4 || TQT : 40 UNIT9- Understanding Innovation and Change in an Organisation Reference No : 8600-301 Credit : 2 || TQT : 20 UNIT10- Planning Change in the Workplace Reference No : 8600-302 Credit : 2 || TQT : 20 UNIT11- Giving Briefings and Making Presentations Reference No : 8600-307 Credit : 2 || TQT : 20 UNIT12- Understanding Performance Management Reference No : 8600-323 Credit : 2 || TQT : 20 Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

About this Virtual Instructor Led Training (VILT)  This 2-half-day Virtual Instructor Led Training (VILT) course will discuss the chemical aspects of the water-steam cycle in a power plant. The VILT course will examine the different types of chemicals used in boilers, potential issues in a water-steam cycle as well as aspects of monitoring and specifications regarding target values and alarm levels. Participants will also be equipped on what to do or key action steps to take in the event of chemistry-related incidents. This course is delivered in partnership with ENGIE Laborelec. Training Objectives The VILT course will cover the following: Detailed aspects of chemistry in a water steam cycle, including types of chemicals used in boilers depending on the treatment and type of boiler Potential issues in a water-steam cycle such as corrosion and deposition Monitoring & analytical programmes and knowledge of specifications for the water steam cycle (normal values targets - alarm levels) Chemistry aspects during transition periods: start-up, shutdown and preservation Actions to be taken in the event of an alarm Examples of incidents or deviations compared to normal chemistry Target Audience The VILT course is intended for: Power plant chemists Plant operation or maintenance engineers Consultants and technical project managers Boiler engineers Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Your expert course leader is a chemistry consultant in the energy sector. He works with operators of power plants and industrial facilities. He is active in water-steam cycle chemistry, where he provides support to increase chemistry maturity through audits, trainings or development of key performance indicators. His role also includes operational assistance in the field of chemical cleaning and troubleshooting. More recently, he expanded his field of competence towards electrical storage. In this regard, he specializes in electrochemistry and is in charge of different tests on batteries and their components within the ENGIE Batteries Lab. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

Get hands-on and learn to build a full-stack app using React.js as the frontend and its web API for the backend

Are you looking to step into the REST API automation industry with the latest technologies in the market? Are you keen to learn REST API automation using REST Assured with Java and other latest framework technologies? Interested in learning how REST APIs are automated in projects? Then this course is for you.

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Artificial intelligence & Javascript 2D Game Development - MinMax algorithm - "Computer vs You" Tic Tac Toe AI game

Why Choose 3ds Max Basics Training Course? Click for more info What am I going to get from this course? Create your own models in 3ds Max; Use built in poly modelling tools to create basic 3D objects. Learn everything you need about 3ds Max with this guide, from the basics of modelling and animation to more advanced steps.  Duration: 10 hrs Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat between 9 am and 7 pm. 3ds Max Basic Training Course: Course Name: 3ds Max Basics Training Course. Core Skills for 3D Modeling, Rendering, Animations, and Games. Target Audience: Beginners and new users from diverse industries, including architects, interior designers, engineers, game developers, artists, and animators.Course Outline: 3D Modeling and Animation with 3ds MaxI. Introduction to 3ds Max- Course overview and objectives - Navigating the user interface - Basic settings and preferencesII. Creating 3D Objects- Building simple shapes with primitive objects - Craft complex designs using Editable Poly - Enhancing objects with modifiers - Applying materials and textures for realistic effectsIII. Lighting Techniques- Illuminating scenes with different light sources - Exploring various types of lighting - Adjusting light properties for desired effects - Casting shadows to enhance realismIV. Camera Control- Creating and configuring camera views - Fine-tuning camera settings for optimal shots - Animating cameras for dynamic scenesV. Animation Fundamentals- Mastering keyframe animation techniques - Utilizing the time slider and track view - Animating object transformations - Adding movement to materials and texturesVI. Rendering Process- Configuring render settings for high-quality output - Selecting appropriate output formats - Streamlining rendering with batch processing - Enhancing final renders with post-processing effectsVII. Project-Based Learning- Applying acquired skills to complete a final project - Exercising creativity and problem-solving abilities - Integrating modeling, animation, lighting, and rendering into the projectIn-Depth Course Outline:1. Modeling- Edit Poly Modeling: Extrude, Chamfer, Cut, and Slices - Symmetry Mirror Modeling - Designing a Table and Chair - Creating a Basic House Model - Working with Lines and Shapes - Importing Plans from AutoCAD/Vectorworks - Crafting Interior Spaces - Adding Doors, Windows, Railings, and Trees - Implementing Stairs2. Modifiers- Exploring Compound Objects - Utilizing Connect, Scatter, Pro Boolean, Loft, and Terrain Modifiers - Manipulating Bend, Taper, Twist, Stretch, Skew, FFD, Wave, Ripple, and Lattice - Employing the Lathe Modifier for Curved Objects3. 3ds Max Basic Lights- Mastering Omni, Spot, and Direct Lights for Illumination4. 3ds Max Camera- Understanding Free and Target Cameras for Optimal Shots5. Texturing and Rendering- Applying Diffuse and Bump Mapping Techniques - Integrating Environment and Background Images - Configuring Render Settings for High-Quality Images - Lighting and Rendering Scenes in 3ds MaxAre you ready to take your 3D modeling and animation skills to the next level? Download the 30-day free trial of 3ds Max from Autodesk and embark on a transformative learning journey today. Explore the possibilities and unleash your creative potential!

This course not only comprises core theoretical concepts but also several interesting hands-on demonstrations that will help you build practical experience on the Amazon Web Services (AWS) platform; you will gain confidence in architecting, designing, and implementing solutions on AWS.

🏗️ Site Management Training Course Overview: Shaping Success in Construction Leadership Ready to take charge of construction projects and lead with excellence? Our 'Site Management Training Course' is tailored for individuals aspiring to become proficient site managers. From ensuring safety on site to managing resources and ensuring top-notch quality, this course equips you with the skills needed to navigate the dynamic world of construction leadership. 🌐 Module 1: Introduction to Site Management Embark on your journey with a comprehensive introduction to the principles and responsibilities of site management. Understand the critical role a site manager plays in construction projects, from project initiation to completion. Lay the groundwork for becoming a successful leader in the construction industry. ️ Module 2: Health and Safety on Site Prioritize the well-being of your team with a deep dive into health and safety protocols on construction sites. Learn to identify and mitigate risks, implement safety measures, and create a secure working environment. Ensure compliance with industry standards and regulations to protect both workers and the project. 📅 Module 3: Planning and Scheduling Master the art of strategic planning and scheduling for construction projects. Explore techniques for creating realistic project timelines, allocating resources efficiently, and maintaining project progress. Learn to overcome challenges and optimize schedules to ensure timely project delivery. 🛠️ Module 4: Resource Management Effectively manage resources to optimize project outcomes. Learn to allocate manpower, materials, and equipment efficiently. Explore strategies for cost control, procurement, and logistics management to ensure that resources are utilized effectively throughout the construction process. 🌟 Module 5: Quality Management Elevate the standards of your construction projects with a focus on quality management. Understand the principles of quality assurance and control. Explore techniques for monitoring and evaluating construction processes to ensure adherence to specifications and standards, resulting in superior project outcomes. 🏗️ Why Choose Our Site Management Training Course? Practical Learning: Hands-on exercises and real-world case studies for practical skill development. Expert Guidance: Learn from seasoned site managers with extensive experience in construction leadership. Interactive Learning: Engage in activities designed to enhance your site management skills dynamically. Career Advancement: Open doors to diverse opportunities in construction project management. 🚧 Enroll Now and Lead the Future of Construction Projects! Don't miss the opportunity to become a skilled and effective site manager. Our Site Management Training Course is your gateway to mastering the skills and techniques needed to excel in construction leadership. Enroll now and shape the success of your construction projects with confidence! Course Curriculum Module 1_ Introduction to Site Management. Introduction to Site Management. 00:00 Module 2_ Health and Safety on Site. Health and Safety on Site. 00:00 Module 3_ Planning and Scheduling. Planning and Scheduling. 00:00 Module 4_ Resource Management. Resource Management. 00:00 Module 5_ Quality Management. Quality Management. 00:00

About this Training Course There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc - apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil & Gas industry. In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided. This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results. Training Objectives By attending this course, participants will be able to acquire the following: Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these. Be able to communicate more effectively with staff in other disciplines. Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation. Gain an awareness of modern seismic technology. Apply the learning in a series of practical, illustrative exercises. Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&P activities Target Audience The blended course is intended for non-geophysicists who have intensive interaction with geophysicists. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests. Course Level Intermediate Trainer Your expert course leader has degree in Geology (University of Leiden), a Master's degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on 'Full wave theory and the structure of the lower mantle'. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the 'shadow zone' of the core. These observations were then translated into rock properties of the D' transition zone. After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments. After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of 'Contractor' software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht. From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods. After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies. In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating 'Artificial Intelligence' in his courses, he also developed a dedicated Machine Learning course for geophysics. 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