Production AI Engineering Curriculum

You'll Build:High-performance Python applications with custom memory management and concurrency patterns.

You'll Build:Linear Algebra for Machine Learning

You'll Build:end-to-end Machine Learning pipelines from data preprocessing and feature engineering to model selection, evaluation, and deployment.

You'll Build:end-to-end Deep Learning pipelines from data preprocessing and feature engineering to model selection, evaluation, and deployment.

You'll Build:Computer Vision models with image classification, object detection, and image segmentation.

You'll Build:Build end-to-end NLP pipelines for text processing, semantic search, text classification, and large language applications.

You'll Build:Transformers from scratch, scaling strategies, and model optimization techniques

You'll Build:Build end-to-end generative AI applications including LLM-based applications, image generation systems, multimodal AI solutions, and production-ready generative AI pipelines

You'll Build:a GPT-style Large Language Model from scratch using Python, NumPy, and PyTorch, including the tokenizer, embeddings, self-attention, Transformer blocks, training pipeline, text generation, instruction tuning, evaluation, and optimized inference.

You'll Build:production-ready LLM applications with model routing, structured generation, tool calling, context management, memory, streaming, caching, evaluation, observability, security, and scalable inference.

You'll Build:custom domain-specific LLMs by preparing high-quality datasets, performing supervised fine-tuning, implementing LoRA and QLoRA, optimizing training with quantization and PEFT, evaluating fine-tuned models, and deploying them for real-world applications.

You'll Build:Production-ready RAG application that ingests real-world documents, performs intelligent retrieval and reranking, generates grounded answers, evaluates retrieval quality, and deploys the complete system.

You'll Build:Advanced RAG systems that dynamically plan retrieval, combine multiple retrieval strategies, reason across multiple documents, correct failed retrievals, use knowledge graphs, and adapt retrieval based on query complexity.

You'll Build:production-ready AI agents that can understand goals, plan multi-step tasks, select and execute tools, maintain memory and state, recover from failures, interact with humans, and complete real-world workflows autonomously.

You'll Build:autonomous Agentic RAG systems that can analyze user questions, decide when retrieval is required, plan multi-step searches, select retrieval tools, evaluate retrieved information, correct failed searches, and generate grounded final answers.

You'll Build:production-ready MCP-powered AI applications where agents can dynamically discover and securely use external tools, APIs, databases, files, and services through standardized MCP servers.

You'll Build:a production-ready multi-agent software engineering team with specialized Product Manager, Architect, Developer, Researcher, Reviewer, Tester, and DevOps agents that collaborate to complete complex tasks.

You'll Build:an end-to-end AI evaluation platform that measures LLM, RAG, and agent quality using automated datasets, deterministic metrics, LLM-as-a-Judge, tracing, regression tests, and continuous evaluation pipelines.

You'll Build:production-ready AI systems with input and output guardrails, prompt injection protection, PII detection, content moderation, tool access controls, hallucination prevention, policy enforcement, red-team testing, and real-time safety monitoring.

You'll Build:production-ready real-time voice AI agents that can listen, understand, reason, speak naturally, use tools, maintain conversations, handle interruptions, connect to phone systems, and complete real-world tasks.

You'll Build:production-ready AI automation systems that can receive events, understand information, make decisions, call tools, update databases, communicate with users, execute multi-step workflows, and operate autonomously with human approval when required.

You'll Build:production-grade AI platforms that combine LLMs, RAG, agents, MCP, databases, APIs, asynchronous workers, observability, evaluation, security, and scalable cloud infrastructure.

You'll Build:real-world AI business systems that automate customer support, sales, lead qualification, document processing, internal knowledge, reporting, operations, and decision-making using LLMs, RAG, agents, MCP, automation, and production infrastructure.

You'll Build:autonomous browser and computer-use agents that can navigate websites, understand pages, fill forms, perform multi-step tasks, research information, interact with business applications, recover from failures, and complete real-world workflows safely.

You'll Build:production-ready AI coding agents that can understand entire repositories, plan implementation tasks, modify multiple files, execute terminal commands, run tests, debug failures, review pull requests, manage Git workflows, and autonomously complete software engineering tasks.

You'll Build:production-ready multimodal AI applications that can understand images, documents, audio, and video, reason across multiple modalities, retrieve multimodal knowledge, generate content, use tools, and operate as intelligent vision and media agents.

You'll Build:production-ready AI research systems that can understand complex questions, generate search strategies, browse multiple sources, retrieve relevant information, verify claims, resolve conflicting evidence, synthesize findings, and produce citation-backed research reports.

You'll Build:production-grade LLM infrastructure with automated evaluation, model deployment, inference services, prompt and dataset versioning, observability, model routing, scalable GPU workloads, CI/CD pipelines, and complete LLMOps workflows.

You'll Build:complete production-ready AI products with modern frontend and backend architecture, authentication, AI agents, RAG, real-time streaming, databases, subscriptions, payments, analytics, observability, and scalable cloud deployment.

You'll Build:a production-grade autonomous AI platform that combines LLMs, RAG, Agentic RAG, tool calling, MCP, multi-agent systems, multimodal intelligence, voice interaction, web research, automation, memory, evaluation, observability, authentication, billing, and scalable cloud infrastructure.