Pravartak
A calm, practical path from your first language-model call to a production cloud deployment.
A connected learning path
Section titled “A connected learning path”Move from foundations to deployment at your own pace. Each section combines concise explanations, practical patterns, checks for understanding, and markdown-authored slides.
LLM foundationsChatbots, transformers, model families, and the mental models that make them understandable.Retrieval & RAGEmbeddings, vector search, BM25, hybrid retrieval, and grounded answers.Agents & workflowsTool calling, MCP, state machines, observability, and reliable orchestration.Local LLMs & CLIOllama, model packaging, coding assistants, and command-line workflows.Fine-tuning & evalsWhen to tune, how to measure quality, and how to watch cost and regressions.Containers & DevOpsDocker, Podman, Compose, CI/CD, deployment, and safe sandboxing.AWS deploymentA complete beginner guide to S3, Bedrock, EC2, Lambda, security, and cost.Specialized topicsAPI inspection, scheduling, loop engineering, speech-to-text, and text-to-speech.