10-Hour LLM Fundamentals (Video)
Self-paced, video-based LLM fundamentals course that teaches you to understand, build, evaluate, automate, and maintain robust LLM solutions, moving from basic prompting to production-ready RAG, agents, evaluation, and optimization workflows.
What you'll learn
- Understand how LLMs work, their strengths, weaknesses, and limitations
- Learn to design end-to-end LLM systems including prompting, RAG, and fine-tuning
- Evaluate LLM and RAG pipelines with quality and safety metrics and human-in-the-loop validation
- Build and orchestrate multi-step agent-based workflows for real-world use cases
- Apply optimization, safety, and monitoring techniques such as distillation, quantization, RLHF, and prompt-hacking defenses
- Gain certification, community support, and lifetime access to course materials
Skills you'll gain
- Use LLMs effectively by understanding their theory, capabilities, and limitations
- Integrate ChatGPT and similar models into workflows to build functional LLM solutions
- Design end-to-end LLM chains including advanced prompting, RAG, and domain-specific fine-tuning
- Evaluate LLM and RAG pipelines using automated metrics and human-in-the-loop validation
- Build and orchestrate multi-step, agent-based workflows that are fast and cost-effective
- Implement optimization techniques such as distillation, quantization, and RLHF
- Apply safety, guardrails, and defenses against prompt-hacking and monitor LLM systems in production
- Customize AI solutions for specific business or industry needs and lead AI-driven projects
- Earn a Towards AI certificate and build an AI portfolio demonstrating practical LLM skills
Prerequisites
- • No prior LLM knowledge required
- • A foundation in Python is helpful but not essential
- • General software development background recommended to get the most from LLM development techniques
Who this course is for
- → Software professionals (language agnostic) who want to work with LLMs
- → Developers aiming to specialize in LLM and AI engineering
- → Non-developers who want to use LLMs via natural language without deep coding
- → Professionals seeking to apply AI and LLMs in their specific industry or business
- → Teams and companies looking to deploy AI features and LLM-powered products at scale
Provider
Towards AI Academy
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