Social And Emotional Learning Courses

Meta Credential

Meta Social Media Marketing

Master social media marketing: create engaging content, build a following, manage accounts, run ad campaigns, and measure results using Facebook's tools and strategies.

• Coursera
• 26 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 5 courses

Credential

Deep Learning

Comprehensive introduction to Deep Learning, covering neural networks, popular frameworks, and GPU acceleration. Hands-on projects prepare learners for real-world AI applications and career opportunities.

• edX
• 26 weeks, 2-4 hours a week
• Self-Paced
• $495.00
• 5 courses

Credential

Machine Learning on Google Cloud

Comprehensive exploration of machine learning on Google Cloud, covering AutoML, BigQuery ML, custom training, feature engineering, and best practices for scalable ML implementation.

• Coursera
• 17 weeks, 6 hours a week
• Self-Paced
• Paid Course
• 5 courses

Credential

Advanced Machine Learning on Google Cloud

Gain expertise in advanced ML topics using Google Cloud, covering optimization, deployment, and scaling of production models for structured data, images, time-series, and NLP, culminating in recommendation systems.

• Coursera
• 17 weeks, 5 hours a week
• Self-Paced
• Paid Course
• 5 courses

Coursera

Inspire Student Learning with Showbie

Learn to use Showbie to streamline organization, communication, and teaching. Set up classes, use tools for assignments, feedback, and parent communication to enhance learning experiences.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

EDUCBA

Analyze and Defend Against GenAI Social Engineering Attacks

Discover how to identify and defend against AI-powered social engineering attacks including deepfakes, phishing, and disinformation campaigns targeting human psychology.

• Coursera
• 3 hours 51 minutes
• Self-Paced
• Paid Course

Automation, Platform Trends, and Social Sales Growth

Master automation tools, platform trends, and social selling strategies to futureproof your sales practice across WhatsApp, Threads, and emerging digital channels.

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

AI for Learning & Development 

Master AI-powered learning solutions to personalize training, automate content creation, and enhance learner engagement with practical tools and ethical implementation strategies.

• Coursera
• 1 day 18 hours
• Self-Paced
• Paid Course

Coursera

Fine-tune Multimodal Models with Transfer Learning

Master transformer-based multimodal AI systems integrating text and image processing with PyTorch/TensorFlow, implementing fusion mechanisms and advanced fine-tuning strategies.

• Coursera
• 1 hour 45 minutes
• Self-Paced
• Paid Course

Whizlabs

Fundamentals of Machine Learning

Master machine learning fundamentals with hands-on experience in supervised/unsupervised learning, data preparation, model optimization, and cloud deployment on AWS and Azure.

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

Your Social Media Bootcamp (Self-Paced)

Gain practical strategies to strengthen your social media presence and build meaningful engagement that supports real business growth.

• CourseHorse
• Self-Paced
• $74.00

Packt

Core Machine Learning & Evaluation

Master machine learning fundamentals, feature engineering, advanced algorithms, and model optimization through hands-on projects and real-world applications.

• Coursera
• 11 hours 25 minutes
• Self-Paced
• Paid Course

Packt

Deep Learning & Modern AI Architectures

Master cutting-edge neural networks, CNNs, RNNs, and Transformers with hands-on projects in TensorFlow, Keras, and PyTorch for real-world AI applications.

• Coursera
• 15 hours 19 minutes
• Self-Paced
• Paid Course

Coursera Credential

Deep Learning Engineering

Master production-scale deep learning systems through TensorBoard diagnostics, PyTorch optimization, transformer fine-tuning, and GPU deployment with containerized infrastructure.

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

EDUCBA

Analyze and Apply Deep Learning for Computer Vision

Master deep learning architectures and computer vision techniques to solve real-world visual intelligence problems through hands-on implementation and modern AI workflows.

• Coursera
• 5 hours 15 minutes
• Self-Paced
• Paid Course