Large Language Models Courses
Large language models (LLMs) courses cover topics like natural language processing, text generation, and model training. You’ll learn about the architectures behind models such as GPT and BERT, how they process and generate text, and the implications of their use. Expect to explore methods for fine-tuning these models and applying them in different contexts.
Popular Large Language Models Courses and Certifications
Skills you'll gain: Prompt Engineering, Unit Testing, Software Development Life Cycle, Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Responsible AI, Computer Vision, LangChain, LLM Application, Javascript, Full-Stack Web Development, IBM Cloud, Data Ethics, Python Programming, Application Deployment, Software Development, Machine Learning, Data Science
Johns Hopkins University
Skills you'll gain: R (Software), Statistical Analysis, R Programming, Statistical Programming, Statistical Software, Data Analysis, Data Analysis Software, Debugging, Simulations, Programming Principles, Software Installation, Performance Tuning, Data Import/Export
Skills you'll gain: Model Deployment, LLM Application, Scalability, Model Training, Model Optimization, Natural Language Processing, Speech Language Pathology, Responsible AI, Generative AI, Deep Learning, Model Evaluation, Machine Learning
Skills you'll gain: LLM Application, Natural Language Processing, Model Training, Generative AI, Generative Model Architectures, Speech Language Pathology, Fine-tuning, Embeddings, Model Deployment, Applied Machine Learning, Deep Learning, Model Evaluation, Responsible AI, Machine Learning
Skills you'll gain: Prompt Engineering, LLM Application, Responsible AI, Application Deployment, Application Development, Application Design, Hugging Face, Application Security
Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, Deep Learning
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Dimensionality Reduction, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, Deep Learning, Generative Model Architectures, Logistic Regression, Artificial Intelligence, Algorithms, Keras (Neural Network Library), Model Evaluation, Data Cleansing, Model Training
DeepLearning.AI
Skills you'll gain: Tensorflow, Machine Learning Methods, Machine Learning, Debugging, Performance Tuning, Data Preprocessing, Python Programming, Model Evaluation, Network Architecture
Skills you'll gain: Data Storytelling, Dashboard Creation, Dashboard, Data Presentation, Plotly, Data Visualization Software, Web Scraping, Data Visualization, Exploratory Data Analysis, Data Wrangling, SQL, Plot (Graphics), Model Evaluation, IBM Cognos Analytics, Data Analysis, Excel Formulas, Professional Networking, Analytics, Python Programming, Microsoft Excel
Duke University
Skills you'll gain: LLM Application, Large Language Modeling, Model Deployment, Embeddings, Application Programming Interface (API), Restful API, Natural Language Processing, Machine Learning
Skills you'll gain: Large Language Modeling, Fine-tuning, Model Deployment, Generative Model Architectures, Model Optimization, Cloud Deployment, Model Training, Model Evaluation, Reinforcement Learning, Image Analysis
Skills you'll gain: LLM Application, Large Language Modeling, Generative AI, Fine-tuning, Prompt Engineering
How to choose the right Large Language Models course
Start with what you want to do. If you want to implement conversational agents, choose courses focusing on dialogue systems and natural language understanding. If you're interested in Hugging Face Transformers, check for courses that cover model fine-tuning and deployment using that library. Compare these options to find the best fit for your needs.
