Advanced4 min read
Multimodal Agents
Build multimodal agents that reason over images, audio and screens: vision-language agents, document-understanding agents, computer-use patterns and the guardrails they need.
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Advanced Topics & Emerging Trends
Where the field is heading: multimodal agents, GraphRAG, small language models, enterprise agent platforms, regulation, and your career roadmap.
Intermediate4 min read
Code Generation & AI-Assisted Development
How AI code generation works and how to use it well: repository context, code LLMs, evaluating generated code, and the judgement to accept, verify or reject what the model produces.
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AI for DevOps & SRE
Apply AI to DevOps and SRE in Java: incident investigation agents, LLM log analysis, alert correlation and runbook automation — with the read-only-first, human-approved discipline ops demands.
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GraphRAG & Knowledge Graphs
Go beyond vector RAG with GraphRAG: knowledge graphs in Neo4j, entity and relationship extraction, graph retrieval for multi-hop questions, and when a graph beats a vector store.
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Small Language Models (SLMs)
When smaller models win: SLMs like Phi and Gemma, on-device and edge AI, model routing between small and large models, and the cost and latency case for not always reaching for the biggest model.
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AI Agents for the Enterprise
Deploy AI agents in the enterprise: integrating with SAP, Salesforce and ServiceNow, SSO and identity, audit trails, approval workflows and the governance enterprise agents require.
Read tutorialExpert5 min read
Federated Learning & Privacy-Preserving AI
Privacy-preserving AI techniques for engineers: federated learning, differential privacy, PII redaction, secure processing and the practical patterns for handling sensitive data with LLMs.
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AI Regulations & Compliance
What developers need to know about AI regulation: the EU AI Act risk tiers, GDPR for AI, ISO 42001 and the NIST AI RMF — and the engineering practices that keep AI systems compliant.
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Open Source vs Proprietary AI Strategy
Choose an AI model strategy: open-weight vs proprietary hosted models, total cost of ownership, vendor lock-in risk, hybrid approaches and migration paths — a decision framework for Java teams.
Read tutorialBeginner6 min read
Future of AI & Career Roadmap
The Java developer to AI engineer career path: the skills that matter, how to build a portfolio, where the field is heading, and how to keep learning in a fast-moving space.
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