InterviewReady – AI Engineering Course 2025-8

AI Engineering Course. This course is designed to transition software engineers into this field. The course covers basic and advanced topics such as vector databases, indexing, large language models, and attention mechanisms with detailed explanations. The educational content consists of 9 main chapters, which include a total of 28 videos, 6 exams, and 9 free resources. The course sections cover the definition of vectors, introduction to the large language model, description of the internal structure of these models, performance optimization methods, design trade-offs, reasoning process, transformer architecture, and finally practical applications such as MCP and intelligent agents. The ultimate goal is for participants to gain a deep understanding of how large language models work and be able to use them to develop real-world applications.

What you will learn

• Building mental models for how large GPT-style language models work.
• Understanding tokenization, embeddings, attention, and masking.
• Optimizing inference of large language models using caching, batching, and quantization.
• Design and deployment of RAG pipelines with vector databases.
• Comparison of prompting, fine-tuning, and agent-based architectures.
• Debugging, monitoring, and scaling large language model systems in production.

This course is suitable for people who:

• Software engineers and people who want to enter the field of AI Engineering.
• Anyone looking to learn how LLMs work and use them to build real applications.
• Those interested in advanced AI topics such as vector databases, Attention mechanisms, and Transformers architecture.

AI Engineering Course Details

• Publisher: InterviewReady
• Instructor: Gaurav Sen
• Language: English
• Training level: Beginner to advanced
• Number of lessons: 21
• Training duration: 1 hour and 36 minutes

Course chapters

Course images

Sample course video

Download link

Download file – 724 MB

File(s) password: www.downloadly.ir

File size

724 MB