
Level 3
AI Full-stack Engineer
Learning method: On campus
Duration: 12 weeks
Major: Artificial Intelligence
ENROLL NOWIntroduction
The AI Full-stack Engineer Course delivers how to successfully build a plan, set up and implement Machine Learning/Deep Learning projects
as well as how to use important blocks in Deep Learning and practice, consequently, students can join real projects to build and deploy complete AI systems.
Applicable areas of course

Building complete AI systems

Developing complete AI systems

Applying AI to production process

Applying AI to corporate management and operation

Applying AI to corporate digitalization

Applying AI to product and service development
Who can learn?

GROUP 1: People who have knowledge of python: programming, linear algebra, analytics, optimization* People who have logical and critical thinking *

GROUP 2: Students who have been awarded AI Specialist certificates by VTC Academy
* Subject to the International-standards-based competency assessment of VTC Academy
Course overview
- Uniform framework for understanding of AI projects and their life cycle
- Challenges and good practices of planning, developing and implementing Machine Learning/Deep Learning projects successfully
- Practice using the important blocks of Deep Learning: CNNs; RNNs and sequence models; embeddings; GANs, VAEs and generative models; deep RL; attention and memory mechanisms; neural-symbolic integration with reasoning, planning, and search mechanisms
- Real-world projects in building and developing the most modern integrated AI systems
Course outcomes

01
Manage problems and estimate a complete AI project
02
Able to seek, clean, label and augment data
03
Know how to choose the right frameworks of computer infrastructure architecture
04
Able to train different models simultaneously in order to choose the right one
05
Able to implement large-scale models: REST API /Docker container/Amazon Lambda, etc.
06
Able to develop and implement modern integrated AI systems
Testimonials
Participating enterprise
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