AI Accelerator- Foundations & AI Applications
- Pick a profitable AI niche and validate real demand using structured research
- Learn AI product templates that connect user problems to proven UX flows and AI stacks
- Build audience-first distribution strategies across social, content, communities, and funnels
- Statistics, Evaluations & Synthetic Data
- Set up Python tooling, Jupyter notebooks, and virtual environments
- Build core AI intuition with vectors, tensors, matrices, NumPy, and probability
- Understand transformer LLM applications across text, code, images, audio, and video
- Build your first LLM inference API and learn evaluation-based AI engineering
- Generate synthetic QA datasets and apply LLM-as-Judge workflows for calibration
- Prompt Engineering, Embeddings & RAG
- Master zero-shot, few-shot, chain-of-thought, and defensive prompt design
- Learn tokenization, dense embeddings, and multimodal alignment with CLIP
- Build RAG pipelines with chunking, vector databases, semantic retrieval, and reranking
- Explore n-gram language models and connect them to neural network foundations
- Survey all forms of fine-tuning: domain, instructional, LoRA, RLHF, DPO, and GRPO
- Transformers & Fine-Tuning
- Implement self-attention, cross-attention, and modern inference optimizations
- Fine-tune embeddings with triplet loss, contrastive tuning, and hard-negative mining
- Rebuild GPT-2 (124M) from scratch in PyTorch with advanced training mechanics
- Fine-tune multimodal encoders for classification, regression, and domain-specific tasks
- Pre-Training, Post-Training & Agents
- Build and train full decoder-only transformer stacks with DDP and gradient accumulation
- Design agent architectures with perception, planning, tool-use, and observation loops
- Study Mixture-of-Experts routing, modern LLM architectures, and reasoning emergence
- Implement advanced RAG with multi-hop reasoning, Graph RAG, and agentic retrieval
- Apply DPO, RLHF, PPO, and GRPO for preference-based model alignment
- Build AI code agents inspired by Copilot, Cursor, and Windsurf architectures
- Case Studies & Production AI
- Build real-time text-to-voice systems with sub-second latency and streaming pipelines
- Design production-grade AI with guardrails, structured outputs, and scaling patterns
- Explore text-to-video generation with Diffusion Transformers, Sora, and Wan 2.2
- Create browser agents with vision-to-code workflows and DOM-based reasoning
- Learn how to stay current with AI trends, frameworks, and emerging techniques
- Hands-On Projects & Community
- Complete 50+ code exercises and 4 competition-based mini projects
- Build and demo a personal or professional AI project
- Attend weekly live lectures, Q&A sessions, and group coaching calls
- Join an in-person mastermind event in Miami for collaboration and networking