JavaScript and TypeScript are the languages in which the interfaces of AI products and many MCP servers are built. OpenAI and Anthropic publish official TypeScript SDKs, and prompt-to-app tools generate React and Next.js interfaces. The question for a JavaScript developer is not whether AI affects the work, but whether you meet it as a user or as a builder.
The JavaScript ecosystem has direct access to AI tooling: the Model Context Protocol has an official TypeScript SDK, the model vendors ship official TypeScript SDKs, and an evaluation tool such as promptfoo runs with npx. A TypeScript developer reaches all of these without changing language.
The pressure comes from the interface side: prompt-to-app tools generate what you used to build by hand, pages, forms and integrations with a database or with payments. What they do not generate well is architecture, security, integration with existing systems and everything that belongs to operating a product with AI components. That is where your value moves.
Streamed answers, the intermediate states of an agent, showing tool calls and the sources of a RAG answer are now ordinary UI components. Whoever masters them builds AI products, not just pages.
Tool use, structured outputs, retries, cost and rate limits are implemented in the same Node where you wrote REST APIs. The difference is that the answer is non-deterministic and has to be evaluated, not just validated.
A voice agent holds a persistent, bidirectional session over WebSockets or WebRTC, with interruptions and tool calls. Transport, latency and audio framing are web developer territory.
Cursor, Claude Code and MCP integrations change how you write and review code. What matters is giving them the right context, limiting their permissions and wiring verification into CI.
Each of these changes has at least one course in the track below. See the track
When you have gone through all the lessons of a course and have an average of at least 70% on its quizzes, you issue from your account, after confirming the conditions, a Certificate of Completion with a unique number and a public verification link. It is not issued automatically and it comes at no extra cost, with a plan or with single-course access.
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In the order in which they matter. If you already have experience with model APIs, skip the foundations. For each course, the reason it matters to someone who works with JavaScript and TypeScript.
You understand what an LLM is, how to call it properly and what an AI product looks like beyond a chat box.
The map of the field, including the module on AI tools for developers and the one on LLM APIs, so you know what you are building and with what. The examples are mostly in Python, with some TypeScript.
Key modules: Machine Learning Essentials · Large Language Models and Modern Architectures · Working with LLM APIs and Integrations · AI Tools for Developers
Read the free preview Course details This course only: €99/monthPrompt engineering for code and for agents: instructions that produce correct components and verifiable decisions.
Key modules: Advanced Prompting Techniques · Multi-Modal Prompt Engineering · Prompt Engineering for AI Agents · Prompt Engineering for Code
Read the free preview Course details This course only: €99/monthA comparative tour of Lovable, v0, Bolt and Replit Agent; v0, for one, generates React and Next.js components. You see what these tools do well, where they fall short on security and production, and where your expertise fits next to them.
Key modules: The Anatomy of Prompt-to-App: From Specification to Application · A Comparative Tour of the Tools: Lovable, v0, Bolt, Replit Agent · Essential Integrations: Database, Auth, Versioning, Payments and Deployment · From MVP to Something Usable: Production Limits
Read the free preview Course details This course only: €99/monthYou build the components that turn an interface into a product: tool orchestration, MCP servers, realtime sessions and the architecture of an AI SaaS.
The streaming lesson implements the server side with Express in TypeScript and the client with fetch and ReadableStream. The rest, function calling, routing, error handling and productionization, is mostly in Python and is the logic you write in Node whatever the framework.
Key modules: Streaming and Error Handling · Function Calling and Tool Use · Model Context Protocol (MCP) · Multi-Model Orchestration and Optimization
Read the free preview Course details This course only: €99/monthA whole module on building MCP servers with TypeScript, plus transport, authentication, testing and containerization. Your tools become available in any MCP client.
Key modules: Building MCP Servers with Python · Building MCP Servers with TypeScript · Transport, Authentication and Configuration · Enterprise Patterns and Production Architectures
Read the free preview Course details This course only: €99/monthAgent architecture: memory, state, tools, design patterns for production and guardrails. The MCP module builds the same server in Python and in TypeScript; the other examples are in Python and the concepts carry over.
Key modules: Memory, State and Advanced Reasoning · Frameworks and SDKs for AI Agents · Model Context Protocol (MCP) and Interoperability · Workflow Automation with AI
Read the free preview Course details This course only: €99/monthThe default stack of the course is yours: Next.js, React and TypeScript with Postgres and pgvector. It takes you through streaming, multi-tenancy, Stripe billing, rate limiting and observability as architecture and decisions, not as code listings.
Key modules: Choosing Your Stack: Frontend, Backend, and LLM APIs · Integrating the LLM: Streaming, Tools, and Cost Control · Vector Search and RAG for Your Product · Authentication and Multi-Tenancy
Read the free preview Course details This course only: €99/monthRealtime voice agents: speech-to-text, text-to-speech, the Realtime API and bidirectional streaming over WebSockets and WebRTC, transports a web developer already knows.
Key modules: Speech-to-Text: Modern ASR · Text-to-Speech: Neural Voices · The Realtime API and Speech-Native Models · Building a Voice Agent: Orchestration
Read the free preview Course details This course only: €99/monthYou ship faster with coding agents and you stand behind quality with evaluation and security.
Claude Code on large codebases, the full git workflow, subagents, hooks and GitHub Actions integration. It installs with npm and runs in the terminal next to your existing toolchain.
Key modules: Multi-File and Large Codebases: Plan, Edit, Review and Context Management · The Full Git Workflow: Branches, Commits, Conflicts, Code Review and PRs · Headless Mode (claude -p) and Non-Interactive Automation · Subagents and Agent Teams: Orchestration, Delegation and Controlled Parallelization
Read the free preview Course details This course only: €99/monthComposer, background agents, MCP in Cursor and team productivity, with rules and profiles shown for a project that has a React frontend in TypeScript.
Key modules: Composer Mastery · Model Selection and Intelligent Routing · Background Agents and Cloud · Design Mode and Terminal-Driven Development
Read the free preview Course details This course only: €99/monthpromptfoo for comparing prompts and models from a YAML file, run with npx, next to DeepEval, Ragas and pytest. Quality tests go into the same pipeline as your unit tests.
Key modules: Classic Metrics and Why They Fail on Open-Ended Text · LLM-as-a-Judge: Design, Bias and Calibration · Building Evaluation Datasets · The Evaluation Tooling Landscape
Read the free preview Course details This course only: €99/monthPrompt injection, insecure output handling (model output rendered as raw HTML becomes cross-site scripting), guardrails and excessive agency: the risks specific to AI applications exposed in a browser.
Key modules: Prompt Injection: The Defining Threat · Insecure Output Handling and Downstream Exploits · Guardrails: Input and Output Filtering · Securing RAG and Agents: Excessive Agency
Read the free preview Course details This course only: €99/monthThe courses in the track that end with a capstone project. The list comes from the real modules of the courses, not from a brochure.
What already exists, so that you do not start from zero. The courses in the track teach you what to build with it.
These are the skills you practise in the courses of the track; results depend on the time you invest and on your previous experience.
Start the JavaScript and TypeScript trackCode examples, architectures and case studies, and in some courses a capstone project at the end. Not summaries of documentation, but structured material that you go through in order, at your own pace.
You ask in the context of the lesson, by typing or by voice, and get an explanation of the concept you are on. Every lesson has its quiz: about 354 questions per course on average. The professor is an AI system, not a human teacher, included in every plan with a fair-use limit.
Agentic coding, MCP, RAG, agents, evals, LLM security, fine-tuning, AIOps, computer vision and Edge AI are whole courses in the catalog, not closing chapters.
A preview of the first lesson of every course can be read without an account. Then you choose a single course, €99 per month, or IT Pro, €399 per month, with the whole IT catalog. You can stop the renewal anytime from your account; access stays until the end of the period already paid for.
The courses on this page are IT courses. With the IT Pro plan you have the whole IT catalog, the technical learning paths and the AI Professor; if you want only one course, you buy it separately.
When you care about a single topic in the catalog
about €4 per hour of course
Developers, data engineers, architects. Code and production.
€16 per month for each of the 25 courses
The whole catalog, both tracks side by side.
€10 per month for each of the 50 courses
Subscriptions renew automatically; you can stop the renewal anytime from your account, and access stays until the end of the period already paid for. As digital content with immediate access, see the withdrawal conditions.
Compare all the plans · Plans for teams, by number of seats · Give a month of access as a gift
The same skills, seen from each ecosystem. The languages close to JavaScript and TypeScript are highlighted.
Some do. The MCP course has a module dedicated to building servers in TypeScript, the agents course builds an MCP server in TypeScript next to the Python one, and the LLM integration course implements streaming with Express and, on the client, with fetch. The vibe coding course works with tools that generate JavaScript applications. The remaining examples are mostly in Python, and the concepts carry over to the official TypeScript SDKs.
Yes. The interfaces of AI products, streaming, agent states, showing sources, are frontend work, and prompt-to-app tools generate the kind of components you used to write by hand. The vibe coding course shows their limits, and the integration, MCP and AI SaaS courses move you into the position of building the product, not just the interface.
Yes. The dedicated courses cover working on large codebases, the git workflow, subagents, hooks and CI integration, with the emphasis on least-privilege permissions.
All the courses recommended here are IT courses and open with the IT Pro plan, which includes every IT course in the catalog. It is billed monthly, and you can stop the renewal anytime from your account. There is also individual, monthly access to a single course. Every course has a free preview of its first lesson, readable without an account.
12 courses, ~302 hours, opened with IT Pro: €399 per month, VAT included, with access to all 25 IT courses. The AI Professor is included in every plan.
The courses are for educational purposes only: they are not professional advice, and completing them is not a diploma or a state-recognised qualification. The names of languages, tools and products belong to their owners and are mentioned for identification only. Details in the Terms & Conditions.
ChatGPT, OpenAI, Claude, Anthropic, Gemini, Google, Microsoft 365 Copilot, Cursor, Midjourney and the other product and company names mentioned are trademarks or trade names of their respective owners. Cursuri-AI.ro is an independent training provider and is not affiliated with, sponsored by or endorsed by any of them.
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