AI Education
Data that Speak
AI and Generative AI are revolutionizing industries such as banking, healthcare, insurance, education, legal, tourism, construction, logistics, marketing, sales, customer service, and even public administration.
The aim of our programs is for students to learn how to create Generative AI Applications in the context of a business, which presents a set of challenges that are important to consider in advance.
Online & In-Person Training: Generative AI + LLM App Development
![Online 2024 Bootcamp: Generative AI and LLM Applications](https://aiaccelera.com/wp-content/uploads/2024/05/imagen-blog-v1-ENG.png)
![Online 2024 Bootcamp: Generative AI and LLM Applications](https://aiaccelera.com/wp-content/uploads/2024/05/imagen-blog-v1-ENG.png)
Testimonials
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Our Services
Online Courses
The fastest, most flexible, and versatile option. Our online courses are the perfect choice for professionals with limited time.
In-Person Courses
In-person courses at various locations in the United States and abroad. Inquire about geographical availability.
In-Company Training
Customized courses for companies, available in-person, online, or blended. We tailor to your needs.
Job Board
Career guidance service, and job board for students of our training programs. Enjoy the best opportunities of the job market.
Available Financing
We offer flexible financing alternatives to accommodate our students’ budgets. Money is not an obstacle in the way of your future.
Expert Mentors
We have a multidisciplinary team of expert mentors available to assist our students in their path to the job market.
The New Way of Programming with AI: Software 3.0
Just over 5 years ago, Andrej Karpathy coined the term “Software 2.0” to refer to the new way of programming that arises with Machine Learning: instead
New Employment Opportunities Related to AI
60% of today’s workers are employed in occupations that didn’t exist in 1940. 80% of employment growth in the last 80 years is explained by the
How is the new AI engineer trained?
In the current technological landscape, many companies still perceive modern AI Engineering merely as an extension of Machine Learning or Data Engineering. As a result, their