Text Generation Courses and Certifications

Large Language Models (LLMs) & Text Generation

Master LLM fundamentals, transformer architectures, and attention mechanisms while building a custom chatbot through hands-on projects with prompt engineering and RAG techniques.

• Udacity
• 12 hours
• On-Demand
• Paid Course

Prodramp

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

Step-by-step implementation of Bloom LLM for text generation in Google Colab, covering model setup, error handling, and result interpretation.

• YouTube
• 19 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

Center for Language & Speech Processing(CLSP), JHU

Student Lightning Talks: Text Generation, Reward Consistency, and Evaluation Validity

Explore cutting-edge research on text generation models, reward consistency in RLHF, and validity of compositional generalization evaluations through student presentations at JHU's CLSP.

• YouTube
• 42 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Free Video

Benchmarking LLMs on Text Generation

Explore benchmarking techniques for LLMs in text generation tasks, comparing GPT models through prompting strategies, ROUGE metrics, and semantic similarity evaluation methods.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

AI: Text and Image Generation (Live Online)

22 ratings at CourseHorse

Unlock the power of AI communication with advanced prompt engineering techniques.

• CourseHorse
• 7 hours
• On-Demand
• $499.00

Coursera

Google Bard for Beginners: Text Generation with Prompts

Explore text generation using Google Bard, MakerSuite, and PaLM API. Gain hands-on experience with prompts, prototyping AI ideas, and executing generative AI tasks through practical, step-by-step guidance.

• Coursera
• 2 hours 47 minutes
• On-Demand
• Paid Course

Coursera

Text Generation with Cohere: Recognizing Similarities

Learn to analyze semantic similarity and generate text using Cohere's API. Integrate AI-driven language models into Python scripts for practical text analysis and creative content generation.

• Coursera
• 2 hours 30 minutes
• On-Demand
• Paid Course

Prompt Engineering for AI Text Generation

Master prompt engineering techniques to optimize AI text generation tools for business communication, content creation, and workflow efficiency in just 5 hours.

• Coursera
• 4 hours 55 minutes
• On-Demand
• Paid Course

Code Your Own Llama 4 LLM from Scratch - Full Course

Master the fundamentals of Llama 4 by coding it from scratch, exploring tokenization, self-attention mechanisms, rotary positional embeddings, and feed-forward networks with practical implementations.

• freeCodeCamp
• 3 hours 29 minutes
• On-Demand
• Free Video

Microcredential

Prompt Engineering for Everyone

5 reviews

Master prompt engineering fundamentals and advanced techniques to effectively control AI language models, from basic commands to sophisticated output manipulation and format control.

• CodeSignal
• 5 hours
• On-Demand
• Free Certificate
• 5 courses

Yannic Kilcher

Typical Decoding for Natural Language Generation - Get More Human-Like Outputs From Language Models

Explore typical sampling, a new decoding method for language models that balances high-probability and high-information outputs, resulting in more diverse and interesting generated text.

• YouTube
• 49 minutes
• On-Demand
• Free Video