AWS CERTIFIED MACHINE
LEARNING - SPECIALTY WITH
DIANA'S
- Interactive : Learning
- Personalized Learning
- Flexible Scheduling
- Experienced Instructors:
- Real World Projects
- High-quality Content:
AWS Certified Machine Learning - Specialty with Diana's
Diana Advanced Tech Academy Is a leading e-learning platform providing live instructor-led interactive online training. We cater to professionals and students across the globe in categories like Cyber Security, DevOps, AWS, Azure, Oracle, Web Development, Block Chain, Big Data, 5G,etc.We have an easy and affordable learning solution that is accessible to millions of learners. With our students spread across countries like the US, India, the UK, New Zealand, Singapore, Australia, the Middle East, the Far East, and many other s , We have built a community of over 1.5 million learners across the globe.
Course Details
The Diana AWS Certified Machine Learning course is a comprehensive program that offers in-depth training on machine learning concepts and AWS machine learning services. Participants will learn the fundamentals of machine learning, explore various algorithms and techniques, and gain hands-on experience with AWS machine learning services such as Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend. The course focuses on developing practical skills in building and deploying machine learning models on the AWS platform, enabling participants to become proficient in machine learning with AWS.
Course Objectives
The "Diana AWS Certified Machine Learning" course offers a comprehensive understanding of machine learning using AWS services. Participants gain practical skills, explore advanced topics, and prepare for the AWS Certified Machine Learning Specialty exam. The course fosters collaboration and networking opportunities within the machine learning community.
Understand Machine Learning Fundamentals: Gain a solid understanding of the core concepts, principles, and techniques of machine learning, including supervised learning, unsupervised learning, and reinforcement learning.
Learn AWS Machine Learning Services: Explore various AWS machine learning services such as Amazon SageMaker, Amazon Rekognition, and Amazon Comprehend. Understand their features, capabilities, and how to leverage them to build and deploy machine learning models.
Develop Practical Skills: Acquire hands-on experience in applying machine learning algorithms and techniques using AWS services. Learn how to preprocess data, train models, evaluate performance, and make predictions or classifications using AWS tools and resources.
Build and Deploy Machine Learning Models: Learn how to develop and deploy machine learning models on the AWS platform. Understand the process of data preparation, feature engineering, model training, and model deployment to create robust and scalable solutions.
Explore Advanced Machine Learning Concepts: Dive into advanced machine learning topics such as natural language processing (NLP), computer vision, and deep learning. Gain insights into advanced algorithms and techniques to solve complex machine learning problems.
Why You choose us
At Diana's, we are committed to providing our students with a highquality education that prepares them for successful careers in IT support.
Hands-On Learning
- World Class Resources
- best Interactive class
- full time acess
Personalized Learning
- Self-directed learning
- Project-based learning
- Differentiated instruction
Flexible Scheduling
- Blended courses
- Self-paced courses
- Online courses
High-Quality Content
- Engagement
- Accuracy
- Relevance
Real World Projects
- Career Readiness
- Industry Collaboration
- Practical Application
Experienced Instructors
- Expert Guidance
- Real-World Perspective
- Mentorship and Networking Opportunities
Course Benefits
Gain a comprehensive understanding of machine learning concepts and techniques, with hands-on experience using AWS services. Prepare for the AWS Certified Machine Learning Specialty exam and explore advanced topics like deep learning and natural language processing. Acquire industry-relevant skills, stay updated with the latest advancements, and expand your professional network through valuable networking opportunities.
- Comprehensive Understanding: Gain a deep understanding of machine learning concepts, algorithms, and techniques, and how to apply them using AWS services.
- Hands-on Experience: Get practical experience through hands-on labs and projects that involve real-world machine learning scenarios using AWS tools and technologies.
- AWS Certification Preparation: Prepare for the AWS Certified Machine Learning Specialty exam and enhance your credentials as a certified machine learning professional.
- Advanced Topics: Explore advanced topics in machine learning, including deep learning, reinforcement learning, natural language processing, and computer vision using AWS services.
- Industry Relevance: Acquire skills that are highly sought after in the industry and stay up-to-date with the latest advancements in machine learning technology.
- Networking Opportunities: Connect with fellow learners, industry experts, and instructors to expand your professional network and engage in valuable discussions and collaborations.
Designations
Salary Range
Hiring Companies
Want to Enroll in AWS Certified Machine Learning - Specialty with Diana's
Salary Range
Hiring Companies
Want to Enroll in AWS Certified Machine Learning - Specialty with Diana's
Salary Range
Hiring Companies
Want to Enroll in AWS Certified Machine Learning - Specialty with Diana's
AWS Certified Machine Learning - Specialty with Diana's Covered
The course covers essential machine learning topics, including data preprocessing, model training, evaluation, and deployment. Participants will gain practical experience using AWS machine learning services such as Amazon SageMaker, comprehend advanced concepts like deep learning and natural language processing, and explore real-world applications of machine learning. Additionally, they will learn about model optimization, monitoring, and best practices for ensuring the accuracy and efficiency of machine learning models.
- Data preprocessing
- Model training and evaluation
- Deep learning
- Natural language processing
- AWS machine learning services
- Real-world applications
Study Program
Comprehensive Curriculum
Diana’s AWS Training Program covers a comprehensive range of AWS courses, including AWS Cloud Fundamentals, core AWS services, security and compliance, architectural best practices, cost optimization strategies, and managing and operating AWS environments. Gain practical skills in AWS implementation, resource provisioning, monitoring, troubleshooting, and automation to prepare for diverse career opportunities in the AWS ecosystem.
Certification
Upon completion of the course,
students will receive the AWS Certified Machine Learning Certification, which is recognized by employers worldwide.
Career-Ready Skills
The course focuses on practical
skills and real-world scenarios, providing students with the
knowledge and experience they
need to excel in a career in IT support
Affordable Tution
The course offers a high-quality
education at an affordable price,
making it accessible to individuals
who may not have the resources
to pursue more expensive
certification programs.
Student Testimonials
FAQ
An online course degree is similar to taking a degree program on campus. Attending a live instructional course will be similar to attending a lecture but in the comfort of your location. Our Academy and your course instructor will determine the format for each course and will select the best-suited curriculum and projects for your course or program.
You will need a computer, a high-speed Internet connection, a newer version of a web browser, and access to common tools and software like word processors, email, etc. Some courses may have other software or technology requirements as well. If there are special labs included all you need is to follow your trainer’s instruction to log in to our virtual labs.
We are yet to introduce courses with Self-paced learning means you can learn in your own time and schedule. There is no need to complete the assignments and take the courses at the same time as other learners. The reason why we are choosing live instructional training over self-paced is the alignment of our students to complete and get their certifications on time for their placements or project placements at their respective organizations.
The courses are detailed in the course offerings under “Our Courses” For further information, please contact DIANA ACADEMY for Online Learning.
Online learning is not only more effective for students, but it is also better for the environment. Online courses consume 90% less energy and release 85% less CO2 per student than traditional in-person courses, according to the Open University in the United Kingdom. Online learning and multimedia material become more effective instructional tools as a result of this. Individuals and businesses can profit from helping the environment and sticking to their own environmental goals by encouraging and engaging with this form of learning.
More from Diana Academy
Trending Courses
Be Future Ready, Start Learning
Step-by-Step Path to Success
We Trained 5,000 companies and over 1.5 Million delegates
