Explore your next step
What do you want to learn?
Find a course to start, a guide to read, an event to join or an area to explore. Every result tells you what is available.
Results for “AI”
103 matches · Showing 91–103
Courses and guides are learning content. Directories organise choices; topic roadmaps and guidance requests do not imply a scheduled class or a confirmed mentor.
- GuideFree guide · read nowBuild your first LLM app: a practical path for developersFrom API call to a small, tested feature: the steps, decisions, and checks for a first production-minded LLM application.View details
- GuideFree guide · read nowHow to evaluate LLM outputs: test sets, rubrics, and automated checksBuild evaluation into LLM development with representative test sets, clear rubrics, automated scoring, and human review where it counts.View details
- GuideFree guide · read nowPrompt injection: what it is and how to defend LLM applicationsUnderstand direct and indirect prompt injection, why it's hard to fully prevent, and layered defences for real applications.View details
- GuideFree guide · read nowGetting reliable JSON and structured output from LLMsTechniques for dependable structured output: schemas, provider features, validation, retries, and graceful failure.View details
- GuideFree guide · read nowReducing LLM costs without hurting qualityPractical levers — model choice, prompt size, caching, batching, and routing — to control LLM spend, measured against your evaluation set.View details
- GuideFree guide · read nowPrompting, RAG, or fine-tuning? Choosing the right approachA decision guide for when to improve prompts, add retrieval, or fine-tune a model — based on the problem you're actually solving.View details
- GuideFree guide · read nowOpen-weight LLMs: when to self-host and what it really takesTrade-offs between hosted APIs and self-hosted open-weight models: control, privacy, cost, quality, and operational load.View details
- GuideFree guide · read nowModel Context Protocol (MCP): a practical introductionWhat MCP is, how clients and servers fit together, and what to consider before connecting AI assistants to your tools and data.View details
- GuideFree guide · read nowHow to get useful feedback on your work (not just “looks good”)Ask for feedback in a way that produces specific, actionable input — from mentors, managers, peers, and even AI.View details
- GuideFree guide · read nowSetting learning goals that stick: a practical methodTurn vague intentions (“learn AI”) into specific, measurable goals with deliverables, schedules, and accountability.View details
- GuideFree guide · read nowBecoming a mentor: how senior professionals can guide the next generationWhat mentoring involves, the skills good mentors use, and how professionals with 10+ years of experience can start mentoring.View details
- GuideFree guide · read nowHow to run engaging live workshops onlinePlan, deliver, and follow up live online workshops that keep participants practising, not just watching.View details
- GuideFree guide · read nowSharing your expertise as a practitioner: teaching, mentoring, and what to expectA realistic look at teaching or mentoring alongside your job — time, preparation, rewards, and how platforms like TechlyUp work.View details