Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the The Machine Learning Pipeline on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
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Module 03: Accident Investigation Procedure Module 04: Documenting The Accident Scene Module 05: Conducting Effective Interviews Module 06: Investigation and Cause Analysis Module 07: Developing Solutions Module 08: Report Documentation and Communication What is the Accident Investigation Bundle Assessment Process? We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the exams. CPD 220 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Bundle Right for You? 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This course equips participants with essential academic writing and research skills. Delve into the intricacies of conducting research, differentiate between primary and secondary sources, and grasp the concept of critical thinking. Develop the ability to construct reliable academic arguments, incorporating key components and understanding the nuances of inductive and deductive reasoning. After the successful completion of the course, you will be able to learn about the following: Understand the fundamental principles and concepts that define Humanistic Therapy. Gain insight into the operational mechanisms and practical applications of Humanistic Therapy. Explore the historical development and evolution of Humanistic Therapy. Identify and analyze prominent psychologists who have employed Humanistic Therapy in their practice. Evaluate the effectiveness and impact of Humanistic Therapy in addressing various psychological challenges. Compare and contrast Humanistic Therapy with other therapeutic approaches. Understand Maslow's influential Hierarchy of Needs 7 Stage Model within the context of Humanistic Therapy. Examine the distinctive features and theoretical elements that characterize Humanistic Theories. Define the overarching goal and objectives of Humanistic Therapy in promoting mental health and well-being. Analyze the strengths and weaknesses inherent in the practice of Humanistic Therapy. Explore critical perspectives and criticisms surrounding Humanistic Therapy to foster a comprehensive understanding. Participants will learn to conduct academic research, compare information sources, and differentiate between primary and secondary research. Critical thinking skills will be honed, emphasizing their importance in academic research and providing practical techniques for argument evaluation. The course concludes with mastering the construction of reliable academic arguments, covering key components, inductive and deductive reasoning, and tailored argument structures. This course aims to delve into the principles and mechanisms of Humanistic Therapy, examining its historical development and the notable psychologists who embraced this approach. Participants will assess the effectiveness of Humanistic Therapy by comparing it with alternative therapeutic models. The course will scrutinize essential components such as Maslow's Hierarchy of Needs 7 Stage Model, characteristics of Humanistic Theories, and the objectives of Humanistic Therapy. Additionally, the strengths, weaknesses, and criticisms associated with Humanistic Therapy will be explored. Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Introduction to Humanistic Therapy Self-paced pre-recorded learning content on this topic. Introduction to Humanistic Therapy Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course.The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience, Humanistic Therapy Counselor Psychotherapist Clinical Humanistic Therapist Humanistic Mental Health Specialist Personal Growth Facilitator Humanistic Psychology Practitioner Client-Centered Therapist Expressive Arts Therapist Holistic Wellness Counselor Humanistic Intervention Specialist Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.
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