English | Size: 724 MB
Genre: eLearning
Designed to help software engineers transition to AI engineering. This course includes detailed breakdowns of vector databases, indexing, large language models, and the attention mechanism.
At the end of this course, you will know how LLMs work and use them to build real-world applications.
What will you learn?
Build mental models for how GPT-style LLMs work.
Understand tokenization, embeddings, attention, and masking.
Optimize LLM inference using caching, batching, and quantization.
Design and deploy RAG pipelines with vector databases.
Compare prompting, fine-tuning, and agent-based architectures.
Debug, monitor, and scale LLM systems in production
rapidgator.net/file/af32b61defdb780b0a32f327317a54eb/InterviewReady-AIEngineeringCourse2025-8.part1.rar.html
rapidgator.net/file/2b8e82234823bb42ed51814b4fb2dc50/InterviewReady-AIEngineeringCourse2025-8.part2.rar.html
trbt.cc/rtvxytkbxxjm/InterviewReady-AIEngineeringCourse2025-8.part1.rar.html
trbt.cc/sba50zwlunxu/InterviewReady-AIEngineeringCourse2025-8.part2.rar.html
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