Adrian - Lehrkraft für Programmierung - Berlin
1. Unterrichtsstunde gratis
Adrian - Lehrkraft für Programmierung - Berlin

Die E-Mail-Adresse und Telefonnummer von Adrian wurden verifiziert.

Adrian

  • Tarif 80CHF
  • Antwortzeit 10h
  • Schüler:innen

    Anzahl der Schüler, die Adrian seit der Ankunft bei Superprof unterstützt hat

    9

    Anzahl der Schüler, die Adrian seit der Ankunft bei Superprof unterstützt hat

Adrian - Lehrkraft für Programmierung - Berlin
  • 5 (11 Bewertungen)

80CHF/h

1. Unterrichtsstunde gratis

Unterricht anfragen

1. Unterrichtsstunde gratis

1. Unterrichtsstunde gratis

  • Programmierung
  • Programmiersprachen
  • JavaScript
  • CSS
  • künstliche Intelligenz

Coding and Agent (Multi-Agent) Creation, OpenClaw, Hermes, Context Engineering, LangGraph, SKILLS and Evals, Memory, Modern Production-Ready RAG, and Harness Engineering with Graphs

  • Programmierung
  • Programmiersprachen
  • JavaScript
  • CSS
  • künstliche Intelligenz

Unterrichtsort

Wir empfehlen

Adrian eine von ihrer Community geschätzte Lehrkraft. Sie wurde empfohlen für ihre Zuverlässigkeit, Lehrmethoden und Qualität der Kurse. Eine gute Wahl, um selbstbewusst Fortschritte zu machen.

Über Adrian

I love programming, I am a physicist by profession but I have dedicated my professional life purely to programming on the web (specifically in the area of Front end Development), and I am still thirsty to learn and teach new technologies(like web3, smart contracts, and blockchains) in the world of software.

Other curious facts about me are:
- I had a small software company when I was 25
-I practice calisthenics and surf
-I like electronic music and latin music
-I practice meditation and read about Zen Buddhism commonly
-I have bitcoin and I like the world of cryptocurrencies

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Über den Unterricht

  • Alle Niveaus
  • Englisch
  • Spanisch
  • Deutsch

Alle verfügbaren Sprachen für diesen Kurs :

Englisch

Spanisch

Deutsch

Are you preparing for technical interviews? Do you need to master data structures and algorithms to excel in your professional career? You are in the right place!


New!: Desktop Agents, CLI Tools & "Computer Use":

Claude Cowork & Desktop Agents: Local configuration and automation of files, integrations, and desktop workflows using Claude Cowork.

OpenAI Equivalents & Competing Models: Desktop automation, local model execution (Ollama, LM Studio, llama.cpp, Colibri, ComfyUI, Open WebUI, Unsloth), and "Computer Use" with models from OpenAI and other providers.

Open-Source Agentic CLIs: Usage, extensions, and integration with Goose, OpenCode, PI, Claude CLI, and autonomous terminal tools (TMUX, HRDR).

Context Engineering & Prompt Engineering:

Advanced Context Engineering: Context compression strategies, dynamic windows, short-term and long-term memory management, precision RAG, and context caching.

Professional Prompt Engineering: Advanced techniques (Few-Shot, Chain-of-Thought, Tree-of-Thoughts, ReAct), system prompt structuring, structured outputs (JSON Schema, Zod), and context leak mitigation.

Memory Systems for Agents: Conversational memory, episodic memory, semantic memory, and procedural memory.

Production Multi-Agent Systems Architecture & Design & A2A Protocol:

A2A (Agent-to-Agent) Communication: Implementation of standard inter-agent communication protocols for interoperability between distinct systems, remote agents, and heterogeneous services.

Orchestration Topologies & Patterns: Director/Orchestrator, Hierarchical, Swarm, Peer-to-Peer, Router/Evaluator, and Agent Handoff in TypeScript.

Fault Tolerance, Resilience & Consistency: Infinite loop management, circuit breakers, exponential retries, fallback strategies, and shared states (distributed state management).

Human-in-the-Loop Supervision: Approval workflows, safe interruption, critical action review, and runtime guardrails.

Observability & Tracing: End-to-end monitoring, call tracing, latency metrics, and per-session cost analysis with LangSmith and OpenTelemetry.

MCP (Model Context Protocol) Protocols

Auth, Permissions & Deployment:

Custom MCP Server Development: Building custom MCP tools and servers in (versteckte Information)

Authentication & Security in MCP: Implementation of OAuth 2.1, Bearer/JWT tokens, API keys, and secure delegation workflows (On-Behalf-Of / JIT).

Permissions System & Access Control: Granular role and permission management (RBAC/ABAC) to restrict actions (Read, Write, Admin), Confused Deputy problem mitigation, and prompt injection prevention.

Deployment & Governance: Deploying MCP servers in the cloud (Docker, Serverless, Railway, AWS/GCP, API Gateways) and connecting them to clients (Claude Desktop, Cursor, WebMCP).

Meta Skills, Skill Design & Evals:

Meta Skills Creation: Meta-orchestration skills and automatic generators of new skills (Skill Creators / Skill Writers).

Skill Design & Engineering: Packaging procedural execution, progressive contextualization, and modular interfaces.

Response Evaluation & Benchmarking (Evals): Automated test design, quality metrics, hallucination mitigation, and accuracy calibration.

Models, Fine-Tuning & LLMs:

Multimodal API Usage & Integration: OpenAI, Gemini, Grok, Claude, and HuggingFace.

Local Models & Open Ecosystems: Hermes Agent, Ollama, and LM Studio.

Fine-Tuning: Selection, tuning, and creation of custom/specialized models.

Routing & Cost Optimization: Cost optimization and model routing via OpenRouter.

Agents, Orchestration & Frameworks:

LangChain (TypeScript), LangGraph, and LangSmith.

Custom AI Agents: Building agents from scratch without frameworks.

OpenClaw: Building your own OpenClaw with a security-first focus.

Agent Architecture & Methodologies: Agents.md (BMAD with Archon), SpecKit, and Google Conductor (GSD).

Agent Teams: Advanced workflows, scalable enterprise orchestration, and Deep Agents.

Environments & Data Architecture:

RAG (Retrieval-Augmented Generation) & AI SDKs: Implementing RAG systems and working with agent SDKs.

Sandbox Environments: Secure execution environments for agents, GitHub automation, and AI-driven application testing (browser-based & AI-generated code).

...and more!


I offer private classes specialized in:
For Front-end: React ( ReactJS ), React Native, Redux Toolkit, React Query, NextJS(CSR,SSR, ISR, dynamic rutes and more), hooks, Javascript, Axios, GraphQL, Firebase, Git, Webpack, Tailwind, SASS, Styled Components, CSS, HTML, Websockets, Webhooks, Typescript y Jest, React testing library.

Data structures and algorithms: Recursion, Dynamic programming, Greedy algorithms, Search, Ordering, Time and space complexity analysis, String manipulation, Maps, Queues, Rows, Binary trees, Advanced troubleshooting techniques, Programming paradigms (functional, logical, etc.), Code optimization and refactoring.

I have been working in the software industry for approximately 6 years for multiple digital companies, I have built more than 10 projects on the front-end side, I have specialized in the React library for the construction of the platforms that I have developed and I fully know its ecosystem.

I like to teach through examples, projects, and dynamic resources, I have infinite patience for my students and I know when I should push them to reach their potential and when to guide them efficiently so that they achieve the goal they want to achieve autonomously and in this way, they are able to make the software they have or want to build.

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Preise

Tarif

  • 80CHF

Paketpreise

  • 5 Std.: 400CHF
  • 10 Std.: 800CHF

Gratis-Unterricht

Die erste Unterrichtsstunde ermöglicht es Dir, Deine Lehrkraft kennenzulernen und ihr Deine Wünsche für die nächsten Unterrichtsstunden genau zu nennen.

  • 30min

online

  • 80CHF/h

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