Text Generation Courses and Certifications

Benchmarking LLMs on Text Generation

Benchmark LLM summarization by testing prompts and comparing GPT-3.5 and GPT-4 with ROUGE scores and embedding-based semantic similarity.

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

Learn about seq2seq and LSTM neural networks commonly used in NLP work and how to implement them with TensorFlow for machine translation.

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

Natural Language Generation in Python

Imitate Shakespear, translate language and autocomplete sentences using Deep Learning in Python.

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

Prodramp

Bloom - Text Generation Large Language Model - LLM: Step by Step Implementation

Implement Bloom in Google Colab to generate text while resolving device, model-output, and GPU memory errors.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

VinAI

An Integrated Framework for Controllable Text Generation

Explore an integrated framework for controllable text generation, addressing challenges in interpretability, data construction, and evaluation methods for natural language processing applications.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Toronto Machine Learning Series (TMLS)

Unsupervised Text Generation - Techniques and Applications

Explore novel search-and-learning framework for unsupervised text generation. Learn heuristic scoring, stochastic local search, and sequence-to-sequence modeling for efficient natural language generation.

• YouTube
• 24 minutes
• Self-Paced
• Free Video

UofU Data Science

Abstractive Summarization and Text Generation Evaluation

Explore advanced techniques in abstractive summarization and learn effective methods for evaluating text generation outputs in natural language processing.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

UofU Data Science

Summarization and Text Generation Evaluation

Explore evaluation methods for text summarization and generation systems to assess quality, coherence, and effectiveness of AI-generated content.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Coursera

Create a Superhero Name Generator with TensorFlow

38 ratings at Coursera

Build a character-level language model in TensorFlow that generates superhero names, training a neural network on 9,000+ names and predicting the next character from a seed.

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

Coursera

Copy.AI for Beginners: Generate texts for various use cases

Generate text with Copy.AI: build custom prompts for different use cases, add content via Info Base, analyze brand voice, and construct content workflows.

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

Universidad de Almería

Creative AI: Text and Transformations

Explore how AI writes: generate text with RNNs, LSTMs and GPT, expose gender and racial bias in word vectors, and question authorship, disinformation and voice.

• Coursera
• 3 weeks, 4 hours a week
• Self-Paced
• Paid Course

AI: Text and Image Generation (Live Online)

22 ratings at CourseHorse

Master the techniques of advanced AI prompt engineering and unlock more powerful, precise results from the AI tools you use.

• CourseHorse
• 7 hours
• Self-Paced
• $499.00

Build and train PyTorch neural networks that generate text from raw data using embeddings and RNN/LSTM architectures in a Frankenstein project.

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

Coursera

Google Bard for Beginners: Text Generation with Prompts

Generate text with Google Bard, prototype ideas in MakerSuite, and run text and chat prompts through the PaLM API on Google Colab.

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

Prompt Engineering for AI Text Generation

Select a generative AI tool and refine prompts to generate business text, summarize information, produce ideas, and address ethical issues of AI-written content.

• Coursera
• 4 weeks, 1 hour a week
• Self-Paced
• Paid Course