Gen AI with LLMs
Gain practical skills and foundational knowledge of generative AI, along with insights from AWS AI practitioners on how companies leverage cutting-edge technology for value generation.
Description for Gen AI with LLMs
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by Amazon Web Services & DeepLearning.AI
Duration: 3 weeks at 5 hours a week
Schedule: Flexible
Pricing for Gen AI with LLMs
Use Cases for Gen AI with LLMs
FAQs for Gen AI with LLMs
Reviews for Gen AI with LLMs
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Gen AI with LLMs
Telemo utilizes proprietary generative AI technology that is supported by Microsoft and Nvidia to enhance the customer experience for businesses.
In this course, students gain the skills necessary to use Python for data science, machine learning, and foundational applications of artificial intelligence.
Acquire practical expertise in the integration of machine learning models into pipelines, optimizing performance, and efficiently managing versioning and artifacts.
A thorough grasp of artificial intelligence (AI) and machine learning, including its various forms, methods, and applications, is given in this course.
Examine how to improve learning and preserve integrity by incorporating morally sound and useful AI tools into evaluation procedures.
Study the ethical consequences of AI development and implementation, emphasizing generative AI, AI governance, and pragmatic ethical decision-making in practical contexts.
In-depth study of the applications of machine learning and computer vision, as well as practical experience in data analysis and Python programming.
Gain an extensive understanding of TinyML applications, fundamental principles, and the ethical development of artificial intelligence.
The material equips data engineers to incorporate machine learning models into pipelines while adhering to best practices in collaboration, version control, and artifact management.
From fundamental concepts to advanced methods such as deep learning and ensemble techniques, this program provides a comprehensive examination of machine learning techniques.
Featured Tools
A thorough grasp of artificial intelligence (AI) and machine learning, including its various forms, methods, and applications, is given in this course.
Explore the topic of AI-powered personalization by acquiring the skills necessary to utilize LangChain and ChatGPT.
This program instructs instructors on the ethical and successful integration of AI, while promoting innovation and critical thinking among students.
To enhance machine learning models, this course offers fundamental understanding of artificial intelligence, machine learning methods like classification, regression, and clustering.
Explore the world of AI-powered language processing by acquiring the skills necessary to construct chatbots, analyze sentiment, and incorporate AI insights into practical applications.