AI Training Programs — Professional Courses for AI Engineers, Developers & Leaders
12 expert-built courses across 6 phases covering prompt engineering, RAG, AI agents, LLMs, fine-tuning, PyTorch, multimodal AI, inference optimization, enterprise architecture, and model deployment. Self-paced and cohort-based programs with real-world projects, certificates, and lifetime access.
Prompt Engineering & Foundations
RAG & Vector Databases
RAG Masterclass
Master RAG with LangChain, LlamaIndex, Pinecone, Qdrant, and RAGAS. 10 modules, 6 projects, 55+ hours. Learn chunking, embeddings, hybrid search, multimodal RAG, agentic RAG, and production deployment.
Vector Databases Complete Course
Learn vector databases from fundamentals to production. Master Pinecone, Qdrant, Weaviate, Milvus, and pgvector. 10 modules, 4 projects, 35+ hours. Build semantic search, RAG, and recommendation systems.
Hugging Face & AI Agents
Hugging Face: Hands-On Course
Learn the full Hugging Face ecosystem in this hands-on course. Transformers, datasets, Trainer API, PEFT, RLHF, diffusers, Accelerate, Spaces, and deployment. 50+ hours, 5 real projects.
AI Agents: Build & Deploy
Learn to build and deploy autonomous AI agents in this hands-on course. LangChain, LangGraph, CrewAI, AutoGen, OpenAI Assistants, tool integration, multi-agent orchestration, and production deployment. 60+ hours, 6 projects.
LLMs & Fine-Tuning
Large Language Models: Complete Pro Course
The complete pro course on large language models. Architecture, training, major LLMs, prompting, RAG, fine-tuning, inference, evaluation, agents, multimodal, and enterprise deployment. 70+ hours, 6 projects.
Fine-Tuning LLMs: Advanced Batch
Master fine-tuning large language models with LoRA, QLoRA, DPO, RLHF, and GRPO. 12 modules, 5 projects, 55+ hours of hands-on GPU training. Enroll now.
PyTorch & Multimodal AI
PyTorch for LLMs: Pro Course
Learn PyTorch by building LLMs from scratch: tokenisers, attention, transformers, training loops, distributed training, fine-tuning, and deployment. 13 modules, 65+ hours.
Multimodal AI: Master Course
Master multimodal AI: vision-language models, image generation, audio/speech, video understanding, document intelligence, multimodal RAG, and agents. 14 modules, 6 projects, 65+ hours.
Inference, Enterprise & Deployment
Inference Optimization: Pro Course
Master LLM inference optimization — quantization, speculative decoding, vLLM, KV cache, batching & hardware acceleration. Cut costs by 80% at aimodels.in.
Enterprise AI Architecture: Leadership Batch
Enterprise AI Architecture leadership course for CTOs, AI leads & architects. LLMOps, AI governance, platform design, cost management & compliance. Enroll at aimodels.in.
Model Serving & Deployment: Pro Course
Master AI model serving & deployment — vLLM, TGI, TensorRT, Triton, Docker, Kubernetes & cloud deployment. Build production model APIs at aimodels.in.
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