AI SKILLS ACCELERATOR
Grow strong as an AI developer
The AI Skills Accelerator is a tailored mentorship program that gives developers everything they need to grow their careers in AI.
Exclusively for Latin American developers
1-on-1 sessions based on your career goals
Specialized mentors in AI and career coaching
You choose your learning pace and start date
WHY WE CREATED THIS PROGRAM
A gap exists between the abilities of talent and the needs of companies
The demand for skilled AI developers has surged.
AI companies prioritize proven experience.
There are limited opportunities to gain experience from.
Developers struggle to secure remote AI jobs.
Developers must undergo specialized training tailored to the specific demands of the AI industry
While traditional training programs provide a foundational understanding of AI concepts, they lack the required depth and practical experience.
This program integrates a blend of theoretical knowledge, foundational principles, and hands-on experience, setting the stage for successful hires.
With the AI Skills Accelerator, you get:
Customized Curriculum: Your mentor will build a personalized roadmap tailored to your background and career objectives.
Accountability and Flexibility: The program provides adaptable scheduling to accommodate your professional and personal life.
Hands-on experience: You will engage in a capstone project that applies advanced Machine Learning skills to tackle actual industry challenges while receiving ongoing support and feedback..
We've helped +100 developers grow through our learning programs
The Llama Camp helped me a lot. It helped me get out of my comfort zone. After finishing the training, I received three job offers for senior front-end positions.
I participated in an amazing dev camp to level my soft and technical skills to work for US companies. I highly recommend Awana to anyone looking to play big and challenge themselves abroad.
The camp allowed me to level up with the highest technologies. Maybe at some points we felt lost and overwhelmed given it was an intensive program. At the end, it's important we learn to adapt to it.
PROGRAM CONTENT
The AI Skills Accelerator begins at a basic level and then gets customized to match the developer's technical skills and career goals. Ultimately, every developer is expected to:
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Gain foundational ML knowledge and practical skills in linear regression.
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Build hands-on experience with supervised and unsupervised learning techniques.
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Implement and utilize neural networks including advanced architectures used in Convolutional and Recurrent Neural Networks.
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Deepen their knowledge of natural language processing (NLP) and explore time-series analysis with RNNs.
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Understand large language models and their ethical considerations.
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Gain proficiency with the mathematical underpinnings of ML algorithms.
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Broaden practical skills in computer vision, including image classification and segmentation using CNNs.
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Apply diverse ML skills to real-world problems through a capstone project.
HOW IT WORKS
Here's how you'll go through the Program
First, you'll need to join our Waiting List by completing an application form to share your background and goals.
We will ask for details like your updated CV, LinkedIn, and GitHub Profile.
You will have a Technical Fit Assessment Call with our AI mentor, who will evaluate your technical skills and project fit.
After the first call, you will be asked to book an Onboarding Commitment Call with our career coach and discuss commitment, expectations, and incentives for the program.
You will complete the application process by signing an agreement and making the payment to secure your spot.
Start your AI skills journey at your own pace over 10-12 weeks. You will have access to resources and mentorship, receive weekly assignments and goals, begin your capstone project halfway through, and be prepared to start job interviews upon program completion.
Our AI Skills Accelerator is a mentored course for:
Experienced Developers
Software engineers, programmers, or developers with at least 2-3 years of professional coding experience to ensure a solid foundation to build upon.
Motivated Learners
Professionals eager to expand their skill set and willing to dedicate 6-8 hours per week to the program.
Cloud Enthusiasts
Developers familiar with cloud computing platforms like AWS, Azure, or GCP, who are able to understand the deployment and integration of AI solutions.
You shouldn't apply if:
- You're not committed to accessing a life-changing job opportunity.
- You don’t speak fluent English (B2 level min).
- You’re afraid to disagree or formulate questions.
- You’re going to make excuses.
![Profile pics testimonials (2)-1 Profile pics testimonials (2)-1](https://www.awana.io/hs-fs/hubfs/Profile%20pics%20testimonials%20(2)-1.png?width=150&height=150&name=Profile%20pics%20testimonials%20(2)-1.png)
Meet the AI mentor
Fabricio Quagliariello
Fabricio is a seasoned software architect and developer with over two decades of experience in creating innovative software solutions.
With a deep focus on cloud architecture and implementation, he has transitioned towards a cutting-edge field of Machine Learning (ML) and MLOps career, driven by a mission to harness intelligent technology for a brighter life.
He is deeply passionate about AI and is constantly updating his knowledge enabling him to share the latest advancements and techniques to other engineers.
Have Questions?
FAQs
Am I getting hired after finishing this program?
Participating companies are on the lookout for exceptional AI professionals and are ready to offer positions to students who successfully complete the cohort. These companies will selectively choose the most outstanding participants for interviews.
What is the time commitment required?
The time commitment varies among participants, but generally most participants commit to 1-2 hours per day on weekdays. Some dedicate additional time on weekends (up to 4-6 hours). The minimum recommended time is about 5-6 hours per week.
What topics are covered in the program?
The program covers a wide range of AI-related topics, including but not limited to:
- Fundamentals of Machine Learning and Deep Learning
- Common traditional ML algorithms
- Supervised, Unsupervised and Semisupervised Algorithms.
- CNNs: Computer Vision, Object Detection and Image Segmentation.
- Time series data processing with RNNs.
- NLP
- Agentic workflows
- AI operations (MLOps)
- Integration of AI tools in existing workflows
- Practical applications of AI in software development
- Ethical considerations in AI
What learning methods are used?
The program employs a mix of learning methods to cater to different learning styles:
- Hands-on, project-based learning
- Theoretical foundations
- One-on-one mentoring sessions
- Self-paced study with provided resources
- Optional group sessions and discussions
Is prior AI experience required?
While prior AI experience is beneficial, it's not mandatory. The program is designed to accommodate participants with various levels of AI knowledge, from beginners to those with some exposure to AI concepts.