Neural Networks Courses and Certifications

EDUCBA Career Certificate

Deep Learning with Python: CNN, ANN & RNN

48 ratings at Coursera

Master CNNs, ANNs, and RNNs through hands-on projects in image recognition, churn prediction, and stock forecasting using TensorFlow and Keras for real-world AI applications.

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

Coursera

GenAI for Fraud Detection and Compliance

44 ratings at Coursera

Master cutting-edge generative AI applications for fraud detection, from identifying complex patterns to implementing AI-driven compliance strategies in financial institutions. Transform risk management and stay ahead of evolving threats.

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

LLM Mastery: ChatGPT, Gemini, Claude, Llama, OpenAI & APIs

1216 ratings at Udemy

Basics to AI-Agents: OpenAI API, Gemini API, Open-source LLMs, GPT-5, RAG, LangChain Apps, Colab and Prompt Engineering

• Udemy
• 19 hours 56 minutes
• Self-Paced
• Paid Course

Career Certificate

Data Analytics and Deep Learning

41 ratings at Coursera

Master data preprocessing, big data technologies, and deep learning models with hands-on experience in neural networks and predictive analytics using industry-relevant tools.

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

Coursera

Create a Superhero Name Generator with TensorFlow

38 ratings at Coursera

Build a neural network to generate superhero names using TensorFlow. Learn character-level language modeling and text generation techniques with a dataset of 9000+ fictional character names.

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

Edureka

Machine Learning and NLP Basics

34 ratings at Coursera

Comprehensive exploration of machine learning, deep learning, and NLP fundamentals. Covers core concepts, algorithms, and practical applications, equipping learners with essential skills for AI and data science.

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

Coursera

Interpretable machine learning applications: Part 3

33 ratings at Coursera

Learn to generate explanations for AI predictions using similar cases, enhancing model interpretability and decision-making in business contexts like loan approvals.

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

EDUCBA Career Certificate

AI Machine Learning with R & Python Projects

31 ratings at Coursera

Master machine learning fundamentals using both R and Python through hands-on projects covering regression, classification, clustering, neural networks, and time series forecasting.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 6 courses

Introduction to On-Device AI

28 ratings at Coursera

Learn to deploy AI models on edge devices, reducing latency and enhancing privacy. Master key concepts, convert models, optimize performance, and integrate into mobile apps for efficient on-device AI.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Coursera

Interpretable Machine Learning Applications: Part 4

25 ratings at Coursera

Explore interpretable machine learning using Google's What-If Tool. Learn to analyze and visualize prediction model behavior for white wine quality classification using Decision Trees and Random Forests.

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

Coursera

Deep Learning with PyTorch : GradCAM

21 ratings at Coursera

Implement GradCAM for CNN visualization, creating custom datasets, architectures, and functions. Learn to generate and plot heatmaps for localization in image classification tasks.

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

Oracle

Oracle Cloud Infrastructure AI Foundations

19 ratings at Coursera

Master AI fundamentals and explore Oracle Cloud Infrastructure's AI services, from machine learning basics to practical applications in generative AI and large language models.

• Coursera
• 6 hours 46 minutes
• Self-Paced
• Paid Course

Math Behind LLMs, Transformers and Modern Computer Vision

1087 ratings at Udemy

From Multi Head Attention and Embeddings to Transformers, Vision Transformers, Modern Image Segmentation + LLMs and SAM

• Udemy
• 6 hours 57 minutes
• Self-Paced
• Paid Course

PyTorch: Advanced Architectures and Deployment

18 ratings at Coursera

Master sophisticated PyTorch architectures from Siamese Networks to Transformers, plus deployment techniques including ONNX, pruning, and quantization for real-world applications.

• Coursera
• 1 day 6 hours 40 minutes
• Self-Paced
• Paid Course

EDUCBA

Deep Learning with ANN in Python: Build & Optimize

17 ratings at Coursera

Master ANN development in Python with hands-on TensorFlow and Keras implementation, from data preprocessing to model optimization for real-world predictive analytics.

• Coursera
• 5 hours 30 minutes
• Self-Paced
• Paid Course