# learnwithparam.com

> Interactive, hands-on AI engineering learning platform. Build production-grade systems with real code, not videos you watch. Bootcamps, masterclasses, and standalone courses (free and paid).

> For full course details, see: https://www.learnwithparam.com/llms-full.txt

## About
- Founded and taught by Param Harrison, Head of Engineering and veteran software engineer
- Mentors: Param Harrison (chief mentor, core AI engineering), Ahmed Aleryani (complex agentic systems), Asep Bagja Priandana (polyglot programming)
- Author pages: /about/param, /about/ahmed, /about/asep
- Interactive, chat-based learning with quizzes, code exercises, and real projects
- Used by engineers from NVIDIA, Microsoft, Grab, Wise, Pipedrive, Bolt, and more
- Free foundational courses for signed-in members; a Pro subscription unlocks all paid content

## Programs: Accelerators (senior career, production systems)
- AI Engineer Career Accelerator Program: https://www.learnwithparam.com/ai-engineer-accelerator
  - Access: live mentor-led cohort is a one-time purchase; the self-study content is included with a Pro subscription. Regional pricing available.
- Backend Engineer Career Accelerator Program: https://www.learnwithparam.com/backend-engineer-accelerator
  - Access: live mentor-led cohort is a one-time purchase; the self-study content is included with a Pro subscription. Regional pricing available.

## Programs: Bootcamps (beginner to shipping a production stack)
- AI Bootcamp for Software Engineers (flagship): https://www.learnwithparam.com/ai-bootcamp
  - Access: live mentor-led cohort is a one-time purchase; the self-study content is included with a Pro subscription. Regional pricing available.
- Complete Full Stack Web Development Bootcamp: https://www.learnwithparam.com/fullstack-bootcamp
  - Access: live mentor-led cohort is a one-time purchase; the self-study content is included with a Pro subscription. Regional pricing available.
- Backend Engineer Bootcamp: Go from Zero to Hero: https://www.learnwithparam.com/backend-engineer-bootcamp
  - Access: live mentor-led cohort is a one-time purchase; the self-study content is included with a Pro subscription. Regional pricing available.
- Agentic AI Engineering Bootcamp: https://www.learnwithparam.com/agentic-ai
  - Access: live mentor-led cohort is a one-time purchase; the self-study content is included with a Pro subscription. Regional pricing available.

## Programs: Masterclass (focused deep-dives on a single topic)
- Ultimate PostgreSQL Masterclass: Go from Beginner to Expert: https://www.learnwithparam.com/ultimate-postgresql-masterclass
- Frontend Masterclass for Software Engineers: https://www.learnwithparam.com/frontend-engineering-masterclass
- Fullstack SaaS Masterclass for Vibe Coders (waitlist): https://www.learnwithparam.com/saas-masterclass
- MCP Masterclass: Build Production MCP Servers: https://www.learnwithparam.com/mcp-masterclass
- Voice AI Masterclass: Ship Real Talking Agents: https://www.learnwithparam.com/voice-ai-masterclass
- Production AI Masterclass: Observability, Reliability, Scale: https://www.learnwithparam.com/production-ai-masterclass
- Full-stack AI Masterclass: Next.js + Agents + RAG: https://www.learnwithparam.com/fullstack-ai-masterclass
- Recommender systems masterclass: Two-tower to FastAPI: https://www.learnwithparam.com/recommender-systems-masterclass
- AWS Data Lake Masterclass: Glue, Iceberg, Snowflake: https://www.learnwithparam.com/aws-data-lake-masterclass
- GCP Analytics Masterclass: BigQuery, dbt, Cloud Run: https://www.learnwithparam.com/gcp-analytics-masterclass
- All Programs: https://www.learnwithparam.com/programs

## Free Standalone Courses
- Python for GenAI Engineering (Beginner): https://www.learnwithparam.com/courses/python-for-genai
- GenAI Masterclass: Go from Zero to One (Beginner): https://www.learnwithparam.com/courses/generative-ai-foundations
- Prompt Engineering Crash Course (Beginner): https://www.learnwithparam.com/courses/prompt-engineering-crash-course
- RAG Fundamentals for Everyone (Intermediate): https://www.learnwithparam.com/courses/rag-fundamentals
- Learn AI Agents from Scratch (Intermediate): https://www.learnwithparam.com/courses/ai-agents-fundamentals
- Advanced Design Patterns in AI Agents (Intermediate): https://www.learnwithparam.com/courses/ai-agent-design-patterns
- MCP Fundamentals for Engineers (Intermediate): https://www.learnwithparam.com/courses/mcp-fundamentals
- Search-Augmented Generation with Web Scraping (Intermediate): https://www.learnwithparam.com/courses/mini-perplexity
- Building RAG Applications with Next.js and Vercel AI SDK (Intermediate): https://www.learnwithparam.com/courses/rag-nextjs-vercel
- Vectorless RAG with Hierarchical Document Trees (Advanced): https://www.learnwithparam.com/courses/vectorless-rag
- Introduction to FastAPI (Beginner): https://www.learnwithparam.com/courses/fastapi-fundamentals
- Build your own AI assistant from scratch (OpenClaw) (Intermediate): https://www.learnwithparam.com/courses/learn-to-build-openclaw
- Build your own Redis in Python (Intermediate): https://www.learnwithparam.com/courses/build-your-own-redis-python
- Build your own Redis in Go (Intermediate): https://www.learnwithparam.com/courses/build-your-own-redis-go
- Build your own Redis in Node.js (Intermediate): https://www.learnwithparam.com/courses/build-your-own-redis-nodejs
- Build your own Redis in Rust (Intermediate): https://www.learnwithparam.com/courses/build-your-own-redis-rust
- Build your own Redis in Ruby (Intermediate): https://www.learnwithparam.com/courses/build-your-own-redis-ruby
- Build your own Redis in Elixir (Intermediate): https://www.learnwithparam.com/courses/build-your-own-redis-elixir
- Build your own Redis - 6-language series index: https://www.learnwithparam.com/build-your-own-redis

## Paid Standalone Courses
- Personalized recommender systems: Two-tower retrieval to production serving (Intermediate): https://www.learnwithparam.com/courses/personalized-recommender-systems
- Advanced RAG Course: Build Text to SQL Agentic AI System (Advanced): https://www.learnwithparam.com/courses/agentic-rag-masterclass
- Learn to Build your own Coding Agent (Claude Code) (Advanced): https://www.learnwithparam.com/courses/build-your-own-coding-agent
- Long Document RAG with Conversational Memory (Intermediate): https://www.learnwithparam.com/courses/conversational-pdf-rag
- Video QA with Transcript Search and Timestamp Citations (Intermediate): https://www.learnwithparam.com/courses/video-rag-faiss
- Local Voice Transcription with Whisper and LLM Post-Processing (Intermediate): https://www.learnwithparam.com/courses/voice-transcription-whisper
- GenAI Observability with MLflow and Arize Phoenix (Intermediate): https://www.learnwithparam.com/courses/llm-observability-phoenix
- Building multi-provider LLM apps with OpenRouter (Intermediate): https://www.learnwithparam.com/courses/multi-llm-provider-pattern
- Deploying AI applications with FastAPI and Docker (Intermediate): https://www.learnwithparam.com/courses/fastapi-ai-deployment-patterns
- Building MCP servers for GitHub PR review (Intermediate): https://www.learnwithparam.com/courses/mcp-pr-review-server
- Conversational state machines with LangGraph (Intermediate): https://www.learnwithparam.com/courses/conversational-state-machines-langgraph
- Stateful agent workflows with LangGraph (Intermediate): https://www.learnwithparam.com/courses/stateful-agent-workflows-langgraph
- Supervisor-routed multi-agent systems with LangGraph (Intermediate): https://www.learnwithparam.com/courses/supervisor-multi-agent-langgraph
- Full-stack agentic AI with Next.js and LangGraph (Advanced): https://www.learnwithparam.com/courses/fullstack-agents-nextjs
- Building coding agents from scratch in Go (Advanced): https://www.learnwithparam.com/courses/coding-agents-from-scratch-go
- Advanced RAG with query rewriting and evaluation (Advanced): https://www.learnwithparam.com/courses/advanced-rag-evaluation
- Graph RAG with LangChain and Neo4j (Advanced): https://www.learnwithparam.com/courses/graph-rag-neo4j
- Enterprise RAG infrastructure with Kubernetes and Ray (Advanced): https://www.learnwithparam.com/courses/enterprise-rag-kubernetes-ray
- Build an RBAC-gated RAG chatbot with per-role document walls (Intermediate): https://www.learnwithparam.com/courses/rbac-rag-chatbot
- Layered production AI architecture (Advanced): https://www.learnwithparam.com/courses/layered-production-ai-architecture
- Sentiment classification with LLMs and few-shot prompting (Beginner): https://www.learnwithparam.com/courses/sentiment-classification-llms
- Real-time phone agents with FastRTC (Advanced): https://www.learnwithparam.com/courses/realtime-phone-agents-fastrtc
- AWS Glue and PySpark ETL on a real flight dataset (Intermediate): https://www.learnwithparam.com/courses/aws-glue-spark-etl
- AWS lakehouse with Apache Iceberg, Glue, and Snowflake (Intermediate): https://www.learnwithparam.com/courses/aws-lakehouse-iceberg-snowflake
- GCP analytics with BigQuery, dbt, and Cloud Run (Intermediate): https://www.learnwithparam.com/courses/gcp-bigquery-dbt-pipeline

## Blog (130+ articles)
- Topics: AI agents, RAG, prompt engineering, LLMs, system design, MCP, vector databases, multi-agent systems
- Categories: AI Engineering, AI Engineering in Practice, LLM Engineering, Prompt Engineering
- URL: https://www.learnwithparam.com/blog
- RSS: https://www.learnwithparam.com/rss.xml

Featured posts:
- Which language should you build Redis in? Lessons from rebuilding it 6 times: https://www.learnwithparam.com/blog/which-language-should-you-build-redis-in

## Key Pages
- Find your path (free assessment): https://www.learnwithparam.com/assessment
- All Programs: https://www.learnwithparam.com/programs
- All Courses (free + paid standalone): https://www.learnwithparam.com/courses
- Resources: https://www.learnwithparam.com/resources
- Ebooks & Cheatsheets: https://www.learnwithparam.com/ebooks
- AI Bootcamp (flagship): https://www.learnwithparam.com/ai-bootcamp
- Blog: https://www.learnwithparam.com/blog
- About: https://www.learnwithparam.com/about

## Learning Paths (Taxonomy Hubs)
These destination hubs have their own curated narrative, FAQ, and filtered catalog:

By role:
- AI Engineer: https://www.learnwithparam.com/courses/role/ai-engineer
- Backend Engineer: https://www.learnwithparam.com/courses/role/backend
- Data Engineer: https://www.learnwithparam.com/courses/role/data
- Cloud & DevOps: https://www.learnwithparam.com/courses/role/cloud

By skill:
- RAG: https://www.learnwithparam.com/courses/skill/rag
- AI Agents: https://www.learnwithparam.com/courses/skill/agents
- Multi-Agent Systems: https://www.learnwithparam.com/courses/skill/multi-agent
- LangGraph: https://www.learnwithparam.com/courses/skill/langgraph
- MCP: https://www.learnwithparam.com/courses/skill/mcp
- Voice AI: https://www.learnwithparam.com/courses/skill/voice-ai
- Streaming & SSE: https://www.learnwithparam.com/courses/skill/streaming
- LLM Evaluation: https://www.learnwithparam.com/courses/skill/evaluation
- Python: https://www.learnwithparam.com/courses/skill/python
- FastAPI: https://www.learnwithparam.com/courses/skill/fastapi
- Prompt Engineering: https://www.learnwithparam.com/courses/skill/prompting
- LLM Observability: https://www.learnwithparam.com/courses/skill/observability
- Frontend + AI: https://www.learnwithparam.com/courses/skill/frontend

By level:
- Beginner: https://www.learnwithparam.com/courses/level/beginner
- Intermediate: https://www.learnwithparam.com/courses/level/intermediate
- Advanced: https://www.learnwithparam.com/courses/level/advanced

By access tier:
- Free catalog: https://www.learnwithparam.com/courses/access/free
- Premium catalog: https://www.learnwithparam.com/courses/access/paid

## Ebooks & Cheatsheets
- The RAG Cheatsheet: https://www.learnwithparam.com/ebooks/rag-cheatsheet
- AI Engineer Interview Prep Guide: https://www.learnwithparam.com/ebooks/ai-engineer-interview-prep-guide

## Why Choose learnwithparam
- Hands-on, not videos: You write and run real code on your machine
- Production-grade: Architecture patterns used by real engineering teams, not toy demos
- Interactive platform: Chat-based lessons with quizzes, code exercises, and validation
- Self-paced: Learn at your own speed, no deadlines
- Proven: Engineers from top companies use these programs to upskill

## Pricing
- Free plan (signed in): foundational courses, free ebook titles, progress sync, and certificates of completion
- Pro subscription: unlocks every paid course, the full downloadable ebook and cheatsheet library, learning insights, spaced-repetition review, a verified shareable certificate and portfolio, and new releases the day they ship. Billed monthly, yearly, or once for lifetime access. Seven-day refund.
- Mentor-led programs (bootcamps and accelerators): the live cohort is a one-time purchase, separate from Pro. Pro covers the self-study content of a program, not the live mentor-led cohort.
- Regional pricing available on all paid content. See the page for current pricing in your region.

## Topics Covered
AI engineering, AI agents, RAG (Retrieval-Augmented Generation), prompt engineering, Python for AI, LLM applications, MCP (Model Context Protocol), text-to-SQL, vector databases, agentic workflows, embeddings, AI agent design patterns, multi-agent systems, tool calling, full-stack development, backend engineering, frontend engineering, PostgreSQL, SQL, system design, Node.js, Express, Drizzle, Next.js 14 Server Components

## FAQ
Q: Do I need machine learning experience?
A: No. Courses start from Python basics and build up. You learn to use LLMs and AI tools as an engineer, not as a researcher.

Q: Is this different from video courses?
A: Yes. There are no videos. You clone real repos, build projects locally, and run production-grade code. It's like pair programming with a senior engineer.

Q: Can I use this at work?
A: Absolutely. Every program and course builds production-grade systems with real architecture patterns. Engineers from NVIDIA, Microsoft, Wise, and other companies use these programs.

Q: Is there a free tier?
A: Yes. Seven interactive courses are completely free, covering Python, GenAI, prompt engineering, RAG, AI agents, design patterns, and MCP.

## Frequently Asked Questions
> See the full Q&A section in llms-full.txt covering learning paths, course differences, pricing, prerequisites, and career guidance.

## Contact
- Website: https://www.learnwithparam.com
- Twitter: https://twitter.com/learnwithparam
- GitHub: https://github.com/learnwithparam
- LinkedIn: https://linkedin.com/in/paramanantham