The Generative AI space is moving insanely fast. Every week: a new framework, a new model, a new “must-learn” concept. But most engineers hit the same wall when they try to enter GenAI:
They open a course… and within 5 minutes it feels like:
✔️ Wait, this assumes I already know PyTorch.
✔️ This assumes I understand neural networks.
✔️ This assumes I’ve worked with GPUs.
And if you don’t? You’re told to figure it out.
That’s exactly the gap we built IdeaWeaver to solve.
The problem (what most courses get wrong)
Most courses skip the fundamentals and jump straight into transformers, fine-tuning, RAG, and agents, without teaching you the engineering foundation needed to actually understand what’s happening.
So you’re left frustrated, even though you’re capable.
What makes IdeaWeaver different:
1️⃣ No assumptions. Start from scratch: If tensors confuse you, we teach them. If you’ve never used a GPU, we show you.
2️⃣ Real GPU access (not demos): Not watch me run it. You run it. Experiment. Break things. Learn like an engineer.
3️⃣ Code explained line-by-line: No this is self-explanatory. We go slow where others skip.
4️⃣ Live weekend sessions (Sat/Sun): 8:00–9:30 AM Pacific. Ask questions live. Learn from real discussions. Recordings included.
5️⃣ AI help when you’re stuck: So you don’t lose days debugging simple blockers.
6️⃣ Dedicated Discord community: Because learning alone is hard. Community keeps you moving.
7️⃣Structured hands-on exercises: Not vague assignments progressive exercises that lock concepts in.
8️⃣ Build a Small Language Model from scratch: Tokenizer → embeddings → attention → training loop → inference. With real GPUs.
9️⃣ Modern, production-relevant topics: RAG, fine-tuning, quantization, MCP, agents, LangGraph, LlamaIndex, CrewAI, n8n etc
🔟 Built by an engineer (not a content factory):This program exists because these are the exact learning pains engineers face.
The honest truth. If you want shortcuts like GenAI in 7 days, this isn’t for you.
But if you want a clear, hands-on path from Software/DevOps → GenAI—where you actually understand the internals and can build real systems, this is what we built.
What you’ll build by the end
✅ Small Language Model from scratch
✅ Fine-tuning on your data
✅ Inference deployment
✅ RAG systems
✅ AI Agents
✅ GPU workflows
🔗 Course link: https://lnkd.in/gzGJ9wZj
🎥 YouTube video link: https://lnkd.in/g8ASZ375
🔗 Course Curriculum: https://lnkd.in/gmSGnA4s
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