Program profile · official sources
Generative AI with Large Language Models
The Generative AI with Large Language Models course by DeepLearning.AI and Amazon Web Services on Coursera is an intermediate-level program teaching the fundamentals and real-world deployment of generative artificial intelligence. The curriculum covers the transformer architecture, empirical scaling laws, and state-of-the-art training, tuning, and deployment methods. Students learn to optimize objective functions and adapt large language models to specific use cases. The self-paced online program has a provider estimate of 2 weeks at 10 hours a week to complete. Earning the shareable certificate requires course completion, with 3 assignments included in the curriculum. The program was reviewed in the United States on 1 October 2026.
Facts checked 1 Oct 2026
- Price
- See pricing
No specific total price is stated. The FAQ describes starting with a free trial and purchasing the Certificate experience, and mentions financial aid, but no numeric course-completion total or ISO currency is established from the saved page.
- Time
- 2 weeks at 10 hours a week
- Level
- Intermediate level
- Credential
- Provider-issued course certificate
Add to your LinkedIn profile
- Format
- Flexible schedule, learn at your own pace
- Prerequisites
- Intermediate level. Required: some experience coding in Python, and familiarity with the basics of machine learning (supervised and unsupervised learning, loss functions, and splitting data into training, validation, and test sets). Recommended: Machine Learning Specialization or Deep Learning Specialization from DeepLearning.AI.
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Generative AI use cases, project lifecycle, and model pre-training
- Fine-tuning and evaluating large language models
- Reinforcement learning and LLM-powered applications
Prerequisites: Intermediate level. Required: some experience coding in Python, and familiarity with the basics of machine learning (supervised and unsupervised learning, loss functions, and splitting data into training, validation, and test sets). Recommended: Machine Learning Specialization or Deep Learning Specialization from DeepLearning.AI.
What you actually do
What the credential is
- Credential type
- Provider-issued course certificate · www.coursera.org / generative-ai-with-llms
- Credential
- Shareable certificate · www.coursera.org / generative-ai-with-llms
- Issuer
- DeepLearning.AI, Amazon Web Services · www.coursera.org / generative-ai-with-llms
- Sharing
- Add to your LinkedIn profile · www.coursera.org / generative-ai-with-llms
- Exam requirement
- The page mentions 3 assignments and quizzes, and states that upon completing the course the electronic Certificate will be added. No specific final exam or numeric grading threshold is explicitly required in the text. · www.coursera.org / generative-ai-with-llms
Who should skip it
Alternatives in the registry
Related by topic or level.
- TensorFlow: Advanced Techniques Specialization : Check official price; 2 months to complete at 10 hours a week. FAQ notes 3-4 weeks to complete each course at 5 hours a week..
- DeepLearning.AI TensorFlow Developer Professional Certificate : USD 49 (The US course FAQ states $49/month for access to all four courses until the subscription ends. It separately describes a one-time $49 single-course payment with access for 180 days or until completion. These are different payment scopes, not a total completion cost.); Overview: 2 months at 10 hours a week. These are provider estimates; no combined completion promise is inferred..
- Deep Learning Specialization : Check official price; Overview: 3 months at 10 hours a week. FAQ: at 5 hours a week, each course typically takes 5 weeks except course 3, which takes about 4 weeks. These are separate provider estimates; no combined completion promise is inferred..
Change log
- : Initial recorded review of official program details. · Source