AI Engineering

(0 reviews)

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.

Key AI Functions:Vector databases,RAG,Software Engineering,Artificial Intelligence (AI),Prompt Engineering,Langchain,Open source,AI Models,hugging face,AI agents,DALL-E3,Speech Synthesis,OpenAI API

Description

Reviews

Alternative Tools

Description for AI Engineering

Features of the Course:

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

Reviews for AI Engineering

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Gen AI for Product Managers

Gen AI Foundations

General AI Mastery Toolbox: Master AI & Drive Success

AI Education for Teachers

ML Theory & Hands-on: Python Specialization

Alternative Tools for AI Engineering

Featured Tools

Gen AI for Product Managers

Enhance your Product Manager career with Gen AI. Boost your Product Manager career in under two months by developing hands-on, in-demand generative AI skills. No prior experience is required to initiate the process.

#Artificial Intelligence (AI) #ChatGPT

Gen AI Foundations

Gain comprehensive understanding of generative AI principles, apply them to code generation, develop expertise in GANs and autoencoders, and achieve practical proficiency.

#Generative AI #Code Generation

General AI Mastery Toolbox: Master AI & Drive Success

Explore the origins, concepts, tools, applications, and future developments of AI.

#AI Application #AI Proficiency

AI Education for Teachers

The course on artificial intelligence (AI) compares AI to human intelligence, investigates the evolution of AI and its implications in industry, and addresses computational thinking, ethical considerations, and curriculum-based thinking skills.

#Ethical Awareness #Machine Learning

ML Theory & Hands-on: Python Specialization

Learn to develop, assess, and enhance machine learning models using Python libraries, covering introductory deep learning, supervised, and unsupervised learning algorithms.

#Unsupervised Learning #Python Programming

Compare & Review AI Tool Directory AI Course Marketplace