Neural Networks Courses and Certifications

Microcredential

Introduction to Transformer Models for NLP

5 ratings at Coursera

Master transformer architectures like BERT, GPT, and T5 through hands-on coding exercises. Build attention mechanisms, apply transfer learning, and fine-tune models for real-world NLP applications.

• Coursera
• 4 weeks, 5 hours a week
• On-Demand
• Paid Course
• 3 courses

Large Language Models (Using Huggingface) (Live Online)

8 ratings at CourseHorse

Unlock the power of Large Language Models with Hugging Face in this comprehensive 3-day course.

• CourseHorse
• 20 hours
• On-Demand
• $1,495.00

Microcredential

IBM AI Engineering

Master AI engineering with hands-on projects in machine learning, deep learning, and computer vision. Gain practical skills using Python, popular libraries, and frameworks like PyTorch and TensorFlow for various industry applications.

• Coursera
• 39 weeks, 3 hours a week
• On-Demand
• Paid Course
• 6 courses

Deep Learning

Master the fundamentals of neural networks, from MLPs and CNNs to RNNs and Transformers, through hands-on programming and practical training techniques for building modern AI systems.

• edX
• 6 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Predictive Analytics

Gain insights into predictive analytics with Python, learning to build models, diagnose performance issues, leverage advanced techniques like neural networks, and integrate data-driven insights into decision-making for digital transformation.

• Coursera
• 1 day 23 hours 19 minutes
• On-Demand
• Paid Course

Artificial Intelligence in National Security

Discover how artificial intelligence is reshaping global security and defence strategies in this forward-looking course from King’s College London.

• edX
• 3 weeks, 1-3 hours a week
• On-Demand
• Free Online Course (Audit)

Machine Learning Use Cases in Finance

Explore machine learning applications in finance, including neural networks on graphs, reinforcement learning for portfolios, and NLP for ESG analysis. Gain insights from industry experts and practical examples.

• edX
• 4 weeks, 4-5 hours a week
• On-Demand
• Free Online Course (Audit)

Ethics and Governance in the Age of Generative AI

Explore ethical and technical aspects of generative AI, including responsible development, bias reduction, and governance strategies. Gain insights into AI model deployment and societal impacts.

• Coursera
• 1 day 2 hours 43 minutes
• On-Demand
• Paid Course

Generative AI: Foundations and Concepts

Explore the mathematical foundations of generative AI, from neural networks to advanced deep learning models, with practical implementation techniques and applications in engineering.

• Coursera
• 21 hours 36 minutes
• On-Demand
• Paid Course

NLP in Engineering: Concepts & Real-World Applications

Master practical NLP techniques and their engineering applications through word embeddings, neural networks, and deep learning models. Implement advanced methods for real-world problem-solving in natural language processing.

• Coursera
• 13 hours 28 minutes
• On-Demand
• Paid Course

Techniques d’intelligence artificielle : des fondements aux applications

Explorez les fondements de l'apprentissage automatique supervisé, des algorithmes de base aux réseaux de neurones profonds, avec des applications pratiques dans divers domaines.

• edX
• 6 weeks, 5-6 hours a week
• On-Demand
• Free Online Course (Audit)

Applied Natural Language Processing in Engineering Part 1

Discover NLP fundamentals from text classification to neural networks, optimization techniques, word embeddings, and parsing methods for engineering applications.

• Coursera
• 1 day 3 hours 45 minutes
• On-Demand
• Paid Course

LearnKartS

Introduction to AI and Machine Learning

Discover the fundamentals of AI and ML with AWS, covering supervised and unsupervised learning, neural networks, NLP, computer vision, and hands-on experience with Amazon SageMaker for model deployment and optimization.

• Coursera
• 8 hours 44 minutes
• On-Demand
• Paid Course

Whizlabs

NVIDIA: Fundamentals of Deep Learning

Dive into fundamental deep learning concepts, from neuron processing to CNNs and transfer learning, with hands-on demos using MNIST datasets and image recognition applications.

• Coursera
• 3 hours 44 minutes
• On-Demand
• Paid Course

H2O.ai

H2O ai Large Language Models (LLMs) - Level 1

Dive into foundational concepts of Large Language Models, exploring neural networks, transformer architecture, and practical applications while mastering pre-training and fine-tuning techniques.

• Coursera
• 1 hour 14 minutes
• On-Demand
• Paid Course