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Video course · 15 chapters · 186 min · certificate

Generative AI Essentials & Projects: Build LLM Apps, RAG, Agents

Generative AI essentials from a live session: AI's big picture, intelligence and types of AI, machine learning and deep learning, LLMs, neural networks, coding requirements, demos with LLMs and CrewAI, skills and career paths, data foundations, system requirements and AI's impact on jobs.

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What you'll learn

  • Explain AI, ML, deep learning and LLMs
  • Understand neural networks
  • Know the coding needed for AI work
  • See LLM and CrewAI demos
  • Plan skills and a career path in AI
  • Assess AI's impact on jobs

Chapters

15 chapters · 186:28
  1. 10:25 01Intro Members Introduction Session start.
  2. 9:34 02Intro Members Interactive session Making the session interactive.
  3. 13:21 03Concepts Members AI overview and big picture What AI is, intelligence and types of AI.
  4. 13:18 04Concepts Members ML and deep learning Machine learning examples and deep learning.
  5. 12:30 05LLMs Members Large language models Overview of LLMs.
  6. 6:42 06Recap Members Recap and Q&A AI big-picture recap and questions.
  7. 12:40 07Concepts Members Neural networks and the future of work Neural networks, real projects and misinformation.
  8. 11:01 08Skills Members Coding requirements Low-code/no-code options and coding needs.
  9. 18:38 09Demo Members Demo: using LLMs A story generator demo with an LLM.
  10. 11:31 10Demo Members Demo: CrewAI A multi-agent trip planner with CrewAI.
  11. 14:41 11Career Members Skills to enter AI Skills needed and transitioning.
  12. 11:31 12Career Members Data foundations and careers Why data foundations matter.
  13. 16:29 13Setup Members System requirements and course plan Minimum PC requirements and post-course skills.
  14. 16:47 14Future Members AI's impact on employment Automation, robots and collaboration.
  15. 7:20 15Wrap-up Members Bonus and final Q&A Prompts resource, data science jobs and final questions.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

Full-Stack DevelopersSoftware DevelopersSoftware EngineersAI EngineersMobile App DevelopersSolutions ArchitectsWeb DevelopersBackend DevelopersData ScientistsIT ConsultantsSoftware ArchitectsComputer Science Students