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As a rule, you must spend at least 2 to 3 times the class hours for homework and material review. For example, if the course Back-end Programming with Java has 40 class hours, you need to spend from 80 to 120 hours doing homework and reviewing the materials to prepare and take the international exam. The time for study may vary based on your previous experience and knowledge.  \nBe prepared that your career is a journey, not a destination, and learning will never stop!  \nGood luck!  \nCourse 20: AWS Machine Learning  \nDuration, hours: 32  \nSchedule (hours are in Georgian time):  \n20.1 AWS Machine Learning, Group1  \n4.00 learning hours/day, 8 sessions Class hours: 10:00-14:00  \nWed, 20-Nov-24 Thu, 21-Nov-24 Fri, 22-Nov-24 Mon, 25-Nov-24 Tue, 26-Nov-24 Wed, 27-Nov-24 Thu, 28-Nov-24 Fri, 29-Nov-24;  \n20.2 AWS Machine Learning, Group2  \n4.00 learning hours/day, 8 sessions Class hours: 15:00-19:00  \nWed, 20-Nov-24 Thu, 21-Nov-24 Fri, 22-Nov-24 Mon, 25-Nov-24 Tue, 26-Nov-24 Wed, 27-Nov-24 Thu, 28-Nov-24 Fri, 29-Nov-24;  \nINTERNATIONAL CERTIFICATE  \nAWS Certified Machine Learning-Specialty  \n[https://aws.amazon.com/certification/certified-machine-learning-specialty/](https://aws.amazon.com/certification/certified-machine-learning-specialty/)  \n[Who should take this exam?](Who should take this exam?)   \nAWS Certified Machine Learning-Specialty is intended for individuals who perform a development or data science role and have more than one year of experience developing, architecting, or running machine learning/deep learning workloads in the AWS Cloud. Before you take this exam, we recommend you have:  \n• At least two years of hands-on experience developing, architecting, and running ML or deep learning workloads in the AWS Cloud  \n• Ability to express the intuition behind basic ML algorithms  \n• Experience performing basic hyperparameter optimization  \n• Experience with ML and deep learning frameworks  \n• Ability to follow model-training, deployment, and operational best practices  \nTrainer: Pushkar Jethwa  \nWith over 14 years of experience in the IT industry, I am Pushkar Jethwa, an AWS Certified Instructor and Microsoft Certified Trainer (MCT) specializing in OpenAI, Machine Learning, Artificial Intelligence, and Cloud technologies. My career has been marked by a dedication to leveraging technology to drive innovation and solve complex challenges.  \nI bring a wealth of experience working with a diverse set of tools and platforms, including Azure, AWS, Python, . NET Core, Databricks, and Snowflake. My hands-on experience and deep understanding of these technologies enable me to deliver high-impact training and support to professionals looking to advance their skills in these areas.  \nAs an instructor, my mission is to make complex concepts accessible and engaging. I design and deliver courses that not only cover theoretical knowledge but also provide practical, real-world applications. Whether you are delving into AWS Data Engineering, exploring AWS Machine Learning Specialties, or mastering data platforms, my goal is to equip you with the skills and confidence needed to excel.  \nIn addition to teaching, I am passionate about staying current with the latest advancements in technology and  \ncontinuously expanding my expertise. I look forward to helping you achieve your professional goals and navigate the ever-evolving landscape of IT.  \nINTERNATIONAL CERTIFICATE PRESENTATION  \nExam name: AWS Certified Machine Learning-Specialty  \nExam details URL: [https://aws.amazon.com/certification/certified-machine-learning-specialty/](https://aws.amazon.com/certification/certified-machine-learning-specialty/)  \n[Prerequisites:](Prerequisites: The AWS Certified Machine Learning-Specialty)[ The AWS Certi","cbCaipZwwMwSNJA8","https://ap.wps.com/l/cbCaipZwwMwSNJA8","pdf",317811,"English","# Course 20: AWS Machine Learning\n## Duration and Schedule\n## International Certificate\n## Who Should Take the Exam\n## Prerequisites\n## Course Overview\n## Who Should Attend\n## Course Outline","[{\"question\":\"How long is Course 20: AWS Machine Learning and how is it scheduled?\",\"answer\":\"The course duration is 32 learning hours, delivered across two group schedules with 8 sessions each and daily learning time blocks.\"},{\"question\":\"What are the prerequisites for AWS Certified Machine Learning-Specialty?\",\"answer\":\"Candidates should have at least two years of experience developing, architecting, and running ML or deep learning workloads in AWS, plus the ability to explain basic ML algorithm intuition and perform basic hyperparameter optimization, along with relevant framework and best-practice experience.\"},{\"question\":\"What topics does the course cover in the ML pipeline?\",\"answer\":\"The course focuses on selecting and justifying an ML approach, using the ML pipeline to solve business problems, and training, evaluating, deploying, and tuning models in Amazon SageMaker. It also addresses scalable, cost-optimized, and secure pipeline best practices in AWS.\"}]","Course 20 - AWS Machine Learning - International Certificate Track | PDF",1789933397,23]