Build a strong foundation in machine learning with this certification, designed to guide you through the complete ML lifecycle on the AWS Cloud. From data preparation to model deployment, you’ll gain hands-on experience in creating and managing scalable ML solutions. The MLA-C01 certification boosts your professional profile, validating your ability to design, deploy, and monitor ML systems while setting you up for more advanced certifications in AI and machine learning.
• Defining data engineering and its role in ML pipelines.
• Techniques for accessing, retrieving, and aggregating datasets from structured and
unstructured sources.
• Exploring data cleaning and preprocessing steps.
• Techniques like normalization, scaling, and handling missing values.
• Understanding scalable storage options, including AWS S3 and Amazon RDS.
• Secure data access principles
• Role of EDA in ML workflows and its impact on model performance.
• Handling missing values and applying feature engineering techniques.
• Using visualization tools like Matplotlib and Seaborn to identify data patterns.
• Detecting outliers and preparing datasets for machine learning models.
• Understanding supervised and unsupervised learning models.
• Using tools like SageMaker, TensorFlow, and scikit-learn for model development.
• Applying evaluation metrics like precision, recall, and F1-score.
• Exploring techniques for hyperparameter tuning, compression, and quantization.
• Importance of monitoring, automation, and operational excellence.
• Tools like SageMaker Model Monitor for tracking drift and performance.
• Implementing CI/CD pipelines and orchestration tools like SageMaker Pipelines.
• Focusing on security, compliance, and cost management best practices.
Upon completing the Artificial Intelligence courses at Netsmartz School, learners will gain the following benefits:
Earn a prestigious course completion badge or certificate, available on the Netsmartz School and Microsoft, highlighting your proficiency in AI
Master key concepts and gain hands-on experience in Artificial Intelligence, making you well-equipped for real-world applications
Enhance your career prospects by showcasing your expertise in AI to potential employers and staying ahead in today's rapidly evolving tech landscape
Our programs are crafted with insights from top industry minds and educators, ensuring you gain skills that truly matter in the real world.
Take on projects that mirror the real challenges of the industry, work with real data, and build practical skills that lead to job-ready expertise.
Gain valuable insights from leading practitioners who bring industry use cases, case studies, and proven strategies into your classroom
Stay on track with 24/7 access to mentors and a community of peers, all ready to help you overcome any challenges along the way.
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