Computer Science Courses and Certifications

Master text classification using PyTorch neural networks and fine-tune BERT transformers for movie review sentiment analysis with transfer learning optimization techniques.

• Codecademy
• 4 hours
• Self-Paced
• Free Trial Available

LLMOps: Building Real-World Applications With Large Language Models

4 ratings at Udacity

Master LLMOps principles through hands-on projects: fine-tune models, deploy production applications, implement AI safety measures, and build real-world solutions like chatbots.

• Udacity
• 11 hours
• Self-Paced
• Free Certificate

Master reinforcement learning fundamentals through hands-on Python projects using Gymnasium, building agents that learn optimal strategies via trial and error in game environments.

• Codecademy
• 2 hours
• Self-Paced
• Free Trial Available

Learn to improve machine learning model performance on new data using regularization techniques like ridge and lasso, minimizing overfitting and understanding the bias-variance tradeoff.

• Codecademy
• 2 hours
• Self-Paced
• Free Trial Available

Deep Learning with TensorFlow

Learn TensorFlow for deep learning: from basics to advanced architectures. Master neural networks, CNNs, RNNs, and autoencoders. Practical applications in image, sound, and text processing.

• Cognitive Class
• 3 hours
• Self-Paced
• Free Online Course

Attention Mechanism with Google Cloud

4 ratings at Udacity

Discover how neural networks focus on key inputs using attention mechanisms to enhance translation, summarization, and question answering tasks.

• Udacity
• 1 hour
• Self-Paced
• Free Certificate

AICTE;  Gurukula Kangri University

Blockchain

Explore blockchain technology, cryptocurrencies, and smart contracts. Learn to develop and deploy decentralized applications using Ethereum and Hyperledger Fabric. Gain practical skills for industry applications.

• Swayam
• 6 weeks
• Self-Paced
• Free Online Course

Career Certificate

Data and Programming Foundations for AI

Master Python, statistics, and data analysis fundamentals essential for launching your Machine Learning and AI engineering career through hands-on projects.

• Codecademy
• 39 hours
• Self-Paced
• Free Trial Available

Career Certificate

Machine Learning/AI Engineer

Discover how to build end-to-end ML applications using Python, Git, and machine learning algorithms to power real-world apps through hands-on projects and portfolio development.

• Codecademy
• 50 hours
• Self-Paced
• Free Trial Available

Learn industry-standard techniques for hyperparameter tuning in machine learning, including Grid Search, Random Search, Bayesian Optimization, and Genetic Algorithms to improve model performance.

• Codecademy
• 1 hour
• Self-Paced
• Free Trial Available

JavaScript and the DOM

4 ratings at Udacity

Expand your JavaScript skills to interact with the DOM, create dynamic content, handle browser events, and build an interactive landing page with improved performance.

• Udacity
• 10 hours
• Self-Paced
• Paid Course

Master configuring unique attributes in Directory Server using the Web Administration Tool for enhanced data integrity and system management.

• IBM Training
• 1 hour
• Self-Paced
• Free Online Course

Explore TCP/IP processing on z/TPF by following a real-world banking scenario, covering control structures, TCP connections, InetD, and inbound/outbound message flows.

• IBM Training
• 3 hours
• Self-Paced
• Free Online Course

Continuous Integration and Deployment

3 ratings at Udacity

In this course, you'll learn how to improve the mobile development process by using continuous integration and deployment.

• Udacity
• 96 hours
• Self-Paced
• Free Online Course

Introduction to Machine Learning

3 ratings at Udacity

Explore machine learning concepts and workflows using AWS SageMaker, from data analysis to model deployment. Learn to apply ML techniques, use advanced algorithms, and optimize models for real-world scenarios.

• Udacity
• 18 hours
• Self-Paced
• Paid Course