Advanced Path

Compress AI models with quantization, pruning, and distillation. Deploy faster, cheaper models without sacrificing much accuracy.

7 min read

Master advanced model compression: quantization-aware training, mixed precision, and distillation strategies for production deployment.

8 min read

Scale AI training across multiple GPUs and machines. Learn data parallelism, model parallelism, and pipeline parallelism strategies.

8 min read

Go beyond basic RAG: hybrid search, reranking, query expansion, HyDE, and multi-hop retrieval for better context quality.

9 min read

Build AI systems with multiple specialized agents that collaborate, debate, and solve complex tasks together.

7 min read

Adversaries manipulate AI behavior through prompt injection. Learn attack vectors, detection, and defense strategies.

8 min read

Systematically test AI systems for failures, biases, jailbreaks, and harmful outputs. Build robust AI through adversarial testing.

8 min read

Constitutional AI trains models to follow principles, self-critique, and revise harmful outputs without human feedback on every example.

7 min read

Direct Preference Optimization (DPO) and variants train models on human preferences without separate reward models. Simpler, more stable than RLHF.

7 min read

Enable AI to call APIs, query databases, and use external tools. Build agentic systems that take actions in the world.

8 min read

Build comprehensive evaluation systems: automated testing, human-in-the-loop, LLM-as-judge, and continuous monitoring.

8 min read

Generate training data with AI: create examples, augment datasets, and bootstrap models when real data is scarce or sensitive.

7 min read

Reduce labeling costs by intelligently selecting which examples to label. Active learning strategies for efficient model training.

6 min read

Train models on new data without forgetting old knowledge. Continual learning strategies for evolving AI systems.

6 min read

Optimize AI inference for speed and cost: batching, caching, model serving, KV cache, speculative decoding, and more.

8 min read

Understand how AI makes decisions: attention visualization, feature importance, LIME, SHAP, and interpretability techniques.

7 min read

Harden AI against adversarial examples, data poisoning, and evasion attacks. Testing and defense strategies.

7 min read

Establish AI governance: policies, approval processes, risk assessment, and compliance for responsible AI deployment at scale.

8 min read

Design scalable, secure AI infrastructure for enterprises: hybrid deployment, data governance, model management, and integration.

8 min read

Apply MLOps practices to LLMs: versioning, CI/CD, monitoring, incident response, and lifecycle management for production AI.

8 min read

Systematically optimize prompts: automated testing, genetic algorithms, prompt compression, and performance tuning.

7 min read

Fine-tune or train embedding models for your domain. Improve retrieval quality with domain-specific embeddings.

7 min read

Navigate AI regulations: EU AI Act, US executive orders, sector-specific rules, and global frameworks. Compliance strategies for organizations.

8 min read

Train models that understand images and text together. Contrastive learning, vision-language pre-training, and alignment techniques.

7 min read

Design specialized AI architectures for unique problems. When and how to go beyond pre-trained models and build custom solutions.

7 min read

Compare fine-tuning and RAG to customize AI. Learn when each approach works best, how they differ, and how to combine them.

12 min read

Design policies and guardrails to keep AI safe, compliant, and aligned with your values. Prevent harm, bias, and misuse.

14 min read

Optimize AI systems for speed and cost. Techniques for reducing latency, controlling API costs, and scaling efficiently.

13 min read

Build rigorous evaluation systems for AI. Create golden datasets, define rubrics, automate testing, and measure improvements.

14 min read

How to handle personally identifiable information (PII) in AI systems. Privacy best practices, compliance, and risk mitigation.

13 min read

How to deploy AI systems in production. Compare serverless, edge, container, and self-hosted options.

13 min read

Frameworks for building AI workflows. Compare LangChain, LlamaIndex, Haystack, and custom solutions.

12 min read