AI Engineering
Achieve a professional status as an AI Engineer. Acquire the knowledge necessary to develop next-generation applications that are propelled by generative AI, a skill that is indispensable for startups, agencies, and large corporations.
Description for AI Engineering
- Familiarize yourself with the fundamentals of artificial intelligence engineering.
- Work with vector databases and generate text embeddings
- Develop AI agents that interact with APIs and utilize tools.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera offered by Scrimba
Duration: 1 month at 10 hours a week
Schedule: Flexible
Pricing for AI Engineering
Use Cases for AI Engineering
FAQs for AI Engineering
Reviews for AI Engineering
4.8 / 5
from 5 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Zola Noor
It adds structure to otherwise chaotic workflows.
Levi Park
It feels helpful without getting in the way of how I work.
Brent Rivers
Helped organize my tasks better and keep my planning more realistic.
Finn Rowan
Keeps me from burning out with repetitive work.
Felix Lang
Everything feels in sync'functionality and design are both solid.
Alternative Tools for AI Engineering
Featured Tools
Enhance your management of information technology to resolve business challenges.
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.
Gain a comprehensive understanding of the principles of reinforcement learning. Develop a comprehensive RL solution and comprehend the application of AI tools to address real-world issues.
Gain a comprehensive understanding of AI's potential, ethical considerations, and applications in efficient programming and common coding tasks using various LLMs.
Learn to identify suitable applications for machine learning, integrate human-centered design principles for privacy and ethical considerations in AI product development, and lead machine learning projects following data science methodology and industry standards.