Amazon Web Services (AWS) has recently introduced two new certifications focused on artificial intelligence (AI), machine learning (ML), and generative AI to upskill professionals and help them pursue in-demand cloud jobs. These certifications are designed to validate skills in AI and ML, expanding AWS's robust certification program.
AWS Certified AI Practitioner
The AWS Certified AI Practitioner certification is a foundational-level certification designed for individuals with a general understanding of AI and ML concepts. This certification is ideal for those looking to begin a career in AI or to enhance their credentials in the tech field. The certification covers several key areas:
- Fundamentals of AI and Machine Learning: Understanding basic AI concepts and their applications.
- Data Preparation and Analysis: Techniques for preparing data for machine learning models.
- Model Training and Deployment: Best practices for training and deploying AI models using AWS services.
- AI Services on AWS: Knowledge of AI services such as Amazon Rekognition, Amazon Comprehend, and Amazon Lex.
Join our WhatsApp Channel 👈🏿
This certification is tailored for individuals who are new to AI and want to gain a strong foundational understanding. The beta exam for the AWS Certified AI Practitioner certification will be available for registration starting August 13, 2024. It will feature 85 questions to be completed in 170 minutes, available in English and Japanese, with a fee of $75.
AWS Certified Machine Learning Engineer – Associate
The AWS Certified Machine Learning Engineer – Associate certification is designed for professionals with at least one year of experience in machine learning engineering and hands-on experience with AWS services. This certification does not replace the AWS Certified Machine Learning – Specialty; rather, both certifications will coexist to serve different professional needs and experience levels.
The key areas of focus for this certification include:
- Data Preparation for ML Models: Techniques for preparing and processing data for machine learning.
- Feature Engineering: Methods for creating features to improve model performance.
- Model Training: Best practices for training machine learning models.
- Model Performance and Metrics: Evaluating model accuracy and effectiveness.
- Model Integration and Deployment: Deploying models into production environments.
- Performance and Cost Optimization: Strategies for optimizing the performance and cost-efficiency of ML workloads.
- Security: Implementing security best practices for ML models and data.
This certification is designed for backend software developers, DevOps engineers, data engineers, MLOps engineers, and data scientists who are involved in the implementation and operationalization of ML workloads in production environments. The beta exam for the AWS Certified Machine Learning Engineer – Associate certification will also open for registration on August 13, 2024, featuring 85 questions to be completed in 170 minutes, available in English and Japanese, with a fee of $75.
Key Differences Between the New Certifications
The AWS Certified AI Practitioner is an entry-level certification that covers a broad range of AI concepts and AWS AI services. In contrast, the AWS Certified Machine Learning Engineer – Associate is more specialized, focusing on technical skills required for implementing and managing machine learning workloads on AWS.
Differences Between Associate and Specialty Levels
The new AWS Certified Machine Learning Engineer – Associate certification and the existing Machine Learning – Specialty certification serve different professional needs and experience levels. The Machine Learning – Specialty certification is more suitable for individuals with 2 or more years of experience developing, architecting, and running ML workloads on AWS.
Career Benefits
The demand for AI and ML specialists is expected to grow by 40%, according to the World Economic Forum Future of Jobs Report 2023. However, 70% of North American IT leaders say they have the greatest difficulty filling AI/ML specialist roles. This certification can position you for in-demand machine learning jobs in AWS Cloud.
Preparation and Exam Details
To prepare for these certifications, AWS offers a range of training resources, including free foundational cloud courses and AI foundational training. The AWS Certified AI Practitioner beta exam will be available to schedule starting August 13, 2024, and the exam duration is 120 minutes with 85 questions. The exam format includes multiple-choice and multiple-response questions, and the cost is $75 USD.
Conclusion
AWS's introduction of these certifications marks a significant milestone in the AI and ML landscape. These certifications offer professionals a unique opportunity to enhance their skills, demonstrate their expertise, and boost their career prospects. With the increasing demand for AI and ML skills, these certifications are poised to play a crucial role in shaping the future of the industry.
What do you think are the most significant benefits of these certifications for professionals looking to build careers in AI and ML? Share your thoughts in the comments below.
Related Articles
Unlocking the Power of Generative AI: A Journey Through Encoder-Decoder Architecture and Beyond
Amazon Invests $230 Million in AI Startups, Boosting Generative AI Innovation
Citations
AWS debuts AI certifications and courses for cloud jobs
AWS Offers Free AI and Machine Learning Courses and Certifications
AWS offers new AI certifications - CIO
Generative AI | AWS Training and Certification Blog - Amazon AWS
New AWS skills initiatives help APAC get AI-ready
Machine Learning (ML) & Artificial Intelligence (AI) - Amazon AWS
_20240127_233647_0000.png)
_20240512_154301_0000.png)
0 Comments