Agentic AI Curricula - Devmind Website

Agentic AI Curricula

270 ore

35 ședințe live

2 proiecte

Intro

Intro

Introducere in AI

What is an AI Agent?

Examples

What are AI Agents good at?

And what are they not got at.

Course structure

Structura cursului
Python Module

Python Language Basics:

- Data Types and data structures - Control structures and functions - Error handling - Zen of Python

Working with Python

- Development environments (PyCharm, Colab) - Debugging - Modules and packages - Installing packages

Interactions over the network

- API interaction using requests - RESTful APIs, OpenAPI - SSH connections

File handling and logging

- Reading and writting csv and txt files - Logging: formatting strings, rotating logs - File transfers and remote file operations

Deep Learning Foundations for LLMs

Evolution of Neural Networks:

- Perceptron, Multilayer Perceptron, Backpropagation - Convolutional Neural Networks and Recurrent Neural Networks - Unsupervised and Generative Models

Foundations of Transformers and Attention Mechanism

- Attention Mechanism and Self-Attention - Transformer Architecture Overview - Training Transformers - Impact and Extensions

Embedding Representations:

- Word Embeddings (Word2Vec, GloVe) - Contextual Embeddings (ELMo, BERT, GPT) - Sentence and Document Embeddings (SBERT) - Efficient similarity search using cosine, dot product, or Euclidean distance - Embedding Storage and Search in Vector Databases (FAISS, Chroma)

Tehnologii studiate

Language

Java (LTS)
IntelliJ IDEA

Collaboration Tools & IDE

Git

Spring Ecosystem & REST APIs

Postman