Build Private AI on Your PC: Unsloth QLoRA, Ship Models to Ollama, Streamlit RAG Apps, a Full Coding-Assistant Capstone
InstructorAbdurrahman TEKINThe curriculum spans multimodal processing including image description, video frame separation, and audio transcription via Whisper.
Instruction covers the full Unsloth + QLoRA workflow, from tokenizer mechanics to exporting merged adapters back into Ollama.
Free
Learners build practical tools including RAG-syle assistants, CrewAI agent teams, and a local LLM-assisted coding environment.
Multiple signals suggest that specific libraries, such as LangChain and Spacy, have updated their syntax or compatibility, requiring learners to rework the provided code. Note that these signals predate the displayed update date; while the update label may have addressed these issues, it does not prove a correction.
The curriculum lacks explicit instruction on essential development prerequisites like virtual environments, dependency management, or specific hardware/OS configurations.
The course targets Python developers but lacks necessary guidance on environment and dependency management.