Length: 8 courses
Price: $475/person (USD)
Access Length: 6 months
Bulk Pricing: 10+ Contact Us
Instant Access After Purchase
Lecture by Recorded Video
Stop and Start as Needed
Certificate of Completion
Software Lab Included?: No
Cloud Based (requires trial or license)
Welcome to the AWS Machine Learning with Python - eLearning Bundle, your comprehensive pathway to mastering practical machine learning on the Amazon Web Services (AWS) cloud. This bundle is expertly crafted for aspiring Machine Learning Engineers, Data Scientists, Cloud Practitioners, and Developers who want to build, deploy, and manage machine learning models using Python within the powerful AWS ecosystem.
In today's cloud-centric world, the ability to leverage scalable cloud infrastructure for machine learning is a critical skill. This bundle provides a structured, hands-on learning experience that takes you from fundamental machine learning concepts to advanced cloud-based implementations. You'll gain a solid understanding of machine learning basics, including supervised learning, unsupervised learning, neural networks, and an introduction to reinforcement learning. More importantly, you will learn how to integrate these concepts with AWS services.
Dive deep into practical applications with AWS Rekognition for computer vision tasks like image labeling and face detection. You'll master the essential tools for managing your AWS environment, including installing the AWS CLI, setting up security groups, and launching EC2 instances. Furthermore, you'll become proficient in using the Boto3 SDK to interact with AWS services programmatically using Python, ensuring you can build powerful and automated machine learning solutions. This bundle emphasizes hands-on projects, giving you the experience to confidently tackle real-world machine learning challenges on AWS.
What You Will Gain:The AWS Machine Learning with Python - eLearning Bundle is perfect for professionals who want to bridge the gap between machine learning theory and practical cloud deployment. If you're looking to leverage the scalability and power of AWS for your ML initiatives, build real-world computer vision applications, and manage your cloud resources effectively, this bundle offers the comprehensive training you need. Transform your career by becoming proficient in deploying and scaling machine learning solutions on the world's leading cloud platform.
Build and Deploy Intelligent Systems on AWS. Enroll in the AWS Machine Learning with Python - eLearning Bundle today and accelerate your cloud-based ML journey!
Also Included - 4 Courses: An Essential Career Skills Pack with 4 courses in key areas for career management and growth, including Time Management, Digital Skills, Creativity and Soft Skills.
This self-paced online course lets you learn independently at your own pace through Certstaffix Training's easy-to-use platform.
Have more than 10 students needing this course? Contact Us for bulk pricing.
This course seeks to equip a student with a solid understanding of machine learning fundamentals, as well as using AWS Rekognition. The topics covered include: Getting Started with machine learning, creating your first model, the first machine learning project, how to navigate AWS Billing, and how to create training data.
Each training course is made up of Modules (typically an hour in length). Within each module, there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.
This course seeks to equip a student with a solid understanding of machine learning fundamentals, as well as using AWS Rekognition. Topics covered in this course are Machine Learning Basics, Unsupervised learning, neural network techniques, and an introduction to reinforcement learning.
Each training course is made up of Modules (typically an hour in length). Within each module, there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.
This course seeks to equip a student with a solid understanding of machine learning fundamentals, as well as using AWS Rekognition. The topics covered include AWS Machine Learning, installing AWS CLI, creating Security groups, and launching an EC2 instance.
Each training course is made up of Modules (typically an hour in length). Within each module, there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.
This course seeks to equip a student with a solid understanding of machine learning fundamentals, as well as using AWS Rekognition. This course covers how to Download and install PyCharm, Install Boto 3 and the AWS SDK, Fetch labels from images, use Face detection as well as using an S3 for label detection.
Each training course is made up of Modules (typically an hour in length). Within each module, there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.
It seems that there is never enough time in the day. But, since we all get the same 24 hours, why is it that some people achieve so much more with their time than others? This course will explain how to plan and prioritize tasks, so that we can make the most of the limited time we have. By using the time-management techniques in this course, you can improve your ability to function more effectively – even when time is tight and pressures are high. So, by the end of the course you will have the knowledge, skills and confidence to be an effective manager of your time.
With the rise of digital transformation and technology, having a basic digital literacy is essential for all types of jobs, regardless of the industry. To stay competitive and be successful in the workplace, enhancing your digital skills should be a top priority.
The digital economy is opening up ways for everyone to be creative. It doesn’t just mean being artistic – it’s more about ideas, solutions, alternatives, incremental improvements. Peter Quarry and Eve Ash discuss ways that mental capacity can be developed, perspectives changed, group power leveraged and making things actually happen.
Soft Skills are the traits, characteristics, habits, and skills needed to survive and thrive in the modern work world. Soft skills aren't usually taught in school, but you will learn them all here in this course. Are you someone that other people in your organization and industry like to work with, collaborate with and partner with? Are you seen as a valuable asset to any new project that comes along?
This soft skills training course will teach you how to develop the skills that can make the difference between a lackluster career that tops out at middle management versus one that lands you in the executive suite. Or to wherever you define career success. So many soft skills seem like common sense at first glance, but they are not commonly applied by most workers. This soft skills training course will give you an edge over your competitors. It will also make your job, your career and your life more rewarding and enjoyable.
Public instructor-led AI course prices start at $460 per student. Group training discounts are available.
Self-Paced AI eLearning courses cost $475 at the starting point per student. Group purchase discounts are available.
A: If you are wondering what Generative AI skills are important to learn, we've written a Generative AI Skills and Learning Guide that maps out Generative AI skills that are key to master and which of our courses teaches each skill.
Learning Generative AI involves understanding the foundational concepts of artificial intelligence, machine learning, and deep learning, followed by hands-on practice with relevant tools and frameworks.
Certstaffix Training offers three efficient methods to pursue your Generative AI training: Engaging Live Online Classes, Tailored Onsite Corporate Training for teams and Self-Paced eLearning.
View our Generative AI courses and available training methods.
Learning Generative AI can vary in difficulty depending on your background and prior knowledge of related concepts.
For individuals with experience in computer science, programming, or machine learning, the process may be more straightforward as it builds upon foundational principles in these areas. For beginners, there can be a steeper learning curve since understanding Generative AI requires grasping concepts like neural networks, data preprocessing, and algorithm training.
However, with the right resources, such as Certstaffix structured courses, hands-on practice, and guidance from experienced instructors, anyone can gradually develop a strong understanding of Generative AI. Like any skill, persistence and consistent practice are key to mastering it.
The need for coding in Generative AI largely depends on the tools and platforms being used, as well as the user's goals. Modern Generative AI platforms, such as ChatGPT or DALL·E, often provide user-friendly interfaces that require little to no coding knowledge. These tools enable users to generate content, images, or text through simple commands or prompts.
However, for those looking to customize or build their own Generative AI models, coding is typically required. This may involve knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch. Understanding coding can also help in fine-tuning models, integrating AI into larger systems, or creating uniquely tailored applications.
Bottom line, while coding can enhance the scope of possibilities, it is not usually necessary for leveraging Generative AI's capabilities as an end user.
Absolutely, anyone with interest and dedication can learn AI. While having a background in mathematics, programming, or data science can be advantageous, they are not strict prerequisites. Numerous online courses, tutorials, and resources are available to cater to learners of all levels, from beginners to advanced practitioners. The key lies in starting with fundamental concepts, such as understanding algorithms and machine learning basics, and gradually advancing to more complex topics. With consistent effort, anyone can develop the skills required to explore and contribute to the exciting field of AI.
Deciding whether to pursue an AI course ultimately depends on your goals, interests, and career aspirations. AI is one of the fastest-growing fields, with applications spanning industries such as healthcare, finance, entertainment, and more. Taking a course can be a valuable investment, equipping you with the knowledge and skills to tap into these opportunities. Furthermore, structured courses often provide hands-on projects, mentorship, and certifications that can enhance your resume and increase your credibility in the job market.
However, it’s important to assess the quality of the course and its relevance to your objectives. A well-structured AI course should provide a balance of theoretical knowledge, like understanding algorithms or neural networks, and practical experience with tools such as TensorFlow or PyTorch. Whether you aim to transition into a career in AI, enhance your current role, or simply satiate your curiosity, an AI course can offer significant value when aligned with your ambitions and commitment to learning.
A: Many of Excel's features and functions are powered by artificial intelligence (AI) or have AI-like capabilities. These tools work to process large amounts of data for users, streamline workflows, and increase accuracy. Some of the best applications of AI in Excel include data analysis, data visualization, and formula generation, but it can also supercharge basic functions. Copilot allows users to harness the power of AI through prompts to provide relevant suggestions and shortcuts. Additionally, ChatGPT can be integrated with the program through the use of an add-on or used in tandem with Excel.
Certstaffix Training provides AI classes near me or online, depending on the number of students involved. We offer online courses for individual learners, as well as in person classes at your office for corporate groups. Our trainers are highly experienced professionals with the expertise necessary to help you gain a thorough understanding of AI concepts and tools. With our courses available online for individuals or in person for corporate groups, it's easy to develop your AI skills. Start learning today and see how Certstaffix Training can help you reach your goals.