Coursera Courses

Advanced Malware and Network Anomaly Detection

Equip yourself with AI-powered skills to combat advanced cybersecurity threats. Master malware detection, network anomaly identification, and practical implementations using real-world data.

• Coursera
• 11 hours 47 minutes
• Self-Paced
• Paid Course

Advanced Methods in Machine Learning Applications

Master advanced machine learning techniques for complex problem-solving. Explore ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. Gain practical skills to implement and optimize sophisticated models.

• Coursera
• 19 hours 58 minutes
• Self-Paced
• Paid Course

Applied Machine Learning: Techniques and Applications

Master applied machine learning techniques for computer vision, data analysis, and model evaluation. Gain hands-on experience with image processing, supervised learning, and essential skills in data pre-processing and performance assessment.

• Coursera
• 19 hours 24 minutes
• Self-Paced
• Paid Course

Artificial Intelligence in Social Media Analytics

Explore AI's role in social media analytics. Learn machine learning, NLP, sentiment analysis, and topic modeling. Apply techniques to real data, uncovering patterns and insights in digital interactions.

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

Chatbots

Dive into chatbot technology, from design principles to practical implementation using Amazon Lex and AWS. Build and evaluate ML classifiers, create functional chatbots, and explore real-world applications.

• Coursera
• 13 hours 29 minutes
• Self-Paced
• Paid Course

Effective Presentations and Persuasive Writing

Master effective presentations and persuasive writing techniques. Develop skills in slide design, argument structuring, and proposal writing. Learn to adapt communication styles and stay current with industry trends.

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

Introduction to AI for Cybersecurity

Gain foundational knowledge of AI in cybersecurity, exploring techniques to enhance security, detect threats, and secure systems through hands-on implementations using tools like Jupyter Notebooks.

• Coursera
• 9 hours 55 minutes
• Self-Paced
• Paid Course

Introduction to Social Computing

Explore social computing's impact on society. Gain skills in social media analytics, responsible AI, and gamification. Apply machine learning to real-world scenarios and understand online behavior dynamics.

• Coursera
• 20 hours 45 minutes
• Self-Paced
• Paid Course

Mastering Neural Networks and Model Regularization

Dive deep into neural networks, from perceptrons to CNNs. Build models from scratch, master regularization techniques, and apply PyTorch for image and audio processing tasks.

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

Network Visualization and Intervention

Explore data manipulation, visualization, and network dynamics. Master Relational Algebra, create impactful visualizations, and learn to influence social networks through strategic interventions.

• Coursera
• 12 hours 1 minute
• Self-Paced
• Paid Course

Online Influence and Persuasion

Explore social media dynamics through Social Network Analysis. Master key measures, analyze online influence, and gain practical skills in data extraction and analysis for informed decision-making.

• Coursera
• 21 hours 55 minutes
• Self-Paced
• Paid Course

Securing AI and Advanced Topics

Explore AI-based cybersecurity, from fraud detection to adversarial attacks. Gain hands-on experience with GANs, reinforcement learning, and model optimization to address real-world security challenges.

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

Social Network Analysis

Explore social network dynamics through graph theory, centrality measures, and statistical modeling. Gain skills to analyze relationships, identify influencers, and conduct hypothesis testing using R programming tools.

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

Training AI with Humans

Explore machine learning principles, data annotation, and crowdsourcing techniques to enhance AI performance. Develop skills in designing studies, using platforms like AMT, and implementing IAA for high-quality data.

• Coursera
• 22 hours 47 minutes
• Self-Paced
• Paid Course

Career Certificate

Applied Machine Learning

Develop practical machine learning skills through hands-on application of supervised learning, ensemble methods, neural networks, and advanced techniques like CNNs and reinforcement learning.

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