Social And Emotional Learning Courses

AWS Certified Machine Learning - Specialty

Master the complete machine learning lifecycle on AWS, from data engineering to model deployment, preparing you for the specialty certification exam.

• Coursera
• 7 hours 28 minutes
• Self-Paced
• Paid Course

Learn MLOps for Machine Learning

Discover how to streamline ML workflows with DVC, MLFlow, and AWS tools for tracking experiments, versioning data, and automating model deployment processes.

• Coursera
• 6 hours 39 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

Azure ML Bootcamp: Machine Learning on the Cloud

Master Azure Machine Learning from foundations to advanced MLOps deployment, building and operationalizing models with hands-on cloud experience and real-world applications.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Edureka

Getting Started with Automated Machine Learning (AutoML)

Master automated machine learning with H2O AutoML to build, evaluate, and deploy ML models efficiently without manual trial-and-error approaches.

• Coursera
• 10 hours 35 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs

Machine Learning with Databricks and MLflow

Master MLflow and Databricks to build, track, and deploy production-ready machine learning models while solving the reproducibility crisis through structured experiment tracking.

• Coursera
• 4 hours 32 minutes
• Self-Paced
• Paid Course

Edureka Career Certificate

Advanced Deep Learning Architectures

Master deep learning architectures by building neural networks, transformers, and generative models from scratch, with hands-on GPU training for production-scale AI systems.

• Coursera
• 8 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera

Databricks Machine Learning Quickstart

Master rapid ML deployment on Databricks by tracking experiments with MLflow, leveraging AutoML for model selection, and deploying production-grade serving endpoints with performance monitoring.

• Coursera
• 2 hours 59 minutes
• Self-Paced
• Paid Course

Coursera

Optimize Deep Learning Models for Peak AI

Master transfer learning, model fine-tuning, and optimization techniques to deploy efficient deep learning models in production environments with balanced accuracy and performance.

• Coursera
• 1 hour 58 minutes
• Self-Paced
• Paid Course

Sales EQ: Mastering Emotional Intelligence for Sales Success

Master emotional intelligence to elevate B2B sales performance, understand buyer behavior, build trust, and increase win rates through proven EQ strategies and techniques.

• Coursera
• 16 hours 4 minutes
• Self-Paced
• Paid Course

Coursera

Advancing Your Career in AI and Machine Learning Engineering

Unlock strategies to advance your AI and ML engineering career, from building a portfolio and resume to navigating interviews and exploring roles in MLOps, AI systems, and applied machine learning.

• Coursera
• 14 minutes
• Self-Paced
• Paid Course

Coursera

Data Engineering & Pipeline Reliability for Machine Learning

Master data engineering skills using Python and pandas to clean, encode, validate datasets, build ML pipelines, manage schema changes, and optimize compute costs for production-ready ML infrastructure.

• Coursera
• 9 hours 3 minutes
• Self-Paced
• Paid Course

Data Processing, Machine Learning, and Model Evaluation

Master data processing, machine learning modeling, and evaluation techniques—covering encoding, normalization, bias-variance trade-off, hyperparameter tuning, and MLOps deployment strategies for real-world applications.

• Coursera
• 6 hours
• Self-Paced
• Paid Course

Packt

Machine Learning Product Management - Strategy to Deployment

Master machine learning product management, from ideation to deployment. Learn to structure ML teams, select algorithms, prepare data, and monitor models in production—no prior technical experience required.

• Coursera
• 8 hours
• Self-Paced
• Paid Course

AWS Machine Learning Engineer Associate Exam Prep

Prepare for the AWS Certified Machine Learning Engineer – Associate exam by mastering ML workflows, data preparation, model deployment, SageMaker, MLOps, and GenAI services on AWS.

• Coursera
• 31 hours
• Self-Paced
• Paid Course

Coursera

Optimize Deep Learning: Tune PyTorch Models

Master PyTorch Lightning to implement custom callbacks, debug training issues, and optimize deep learning models for stable, production-ready performance.

• Coursera
• 3 hours 40 minutes
• Self-Paced
• Paid Course