Artificial Intelligence Q+

Recently, we wrote about How to Start a Career in Artificial Intelligence, and we also explored how to become an AI engineer. Here we’re going to explain why the field of artificial intelligence is so important to the modern economy.

As part of this discussion, we’ll cover what artificial intelligence is, how and where it’s being applied in modern businesses, what AI engineers actually do, and why you should consider getting into the industry. 

What you'll learn

• Build 7 different AIs for 7 different applications

• Understand the theory behind Artificial Intelligence

• Master the State of the Art AI models

• Solve Real World Problems with AI

• Q-Learning

• Deep Q-Learning

• Deep Convolutional Q-Learning

• A3C (Asynchronous Advantage Actor-Critic)

• PPO (Proximal Policy Optimization)

• SAC (Soft Actor-Critic)

• LLMs

• Transformers

• Low-Rank Adaptation (LoRA) and Quantization (QLoRA)

• NLP techniques for Chatbots: Tokenization and Padding

• Fine-Tuning an LLM with Knowledge Augmentation

• As Extras: DDPG, Full World Model, Evolution Strategies & Genetic Algorithms

General Schedule Step 1/2

You will be assigned to one of the groups and the schedule for your subgroup will be sent to you via email before the course date.

Available Online 

After confirming your Reservation, check your Email. You will receive your I.D Code and The administrative center to which you belong.

Imp. Note

If you encounter difficulties, you can contact the application office closest to your country’s regional area.

Please note that grants are only awarded once per person.