Mastering AI Agents Bootcamp: Build Smart Chatbots & Tools

Course Overview

• Course Title: Mastering AI Agents Bootcamp: Build Smart Chatbots & Tools
• Instructor: Vivian Aranha
• Target Audience:
  • Software developers
  • Data analysts
  • AI enthusiasts
  • Anyone interested in building AI automation solutions
• Prerequisites:
  • No prior AI experience needed!
  • Basic Python programming knowledge is helpful but not required
  • A computer (Windows, macOS, or Linux) with internet access
  • Familiarity with command-line tools like Terminal or Command Prompt is useful but not mandatory
  • Basic understanding of logic, problem-solving, and structured thinking
  • Some exposure to machine learning concepts is beneficial but not required
  • A willingness to experiment, debug, and iterate on AI projects
  • Patience and curiosity to explore AI technologies
  • An open mindset to adopt AI-driven solutions
  • Basic knowledge of JSON, text processing, or web scraping is useful but not necessary
  • No expensive software or cloud services needed!

Curriculum Highlights

• Key Topics Covered:
  • Build AI-powered agents for task automation, chatbots, and intelligent assistants
  • Develop AI models that understand, process, and generate human-like responses
  • Implement AI-driven automation bots for repetitive tasks
  • Utilize local vector databases like FAISS for AI assistants
  • Integrate speech-to-text and text-to-speech capabilities into AI agents
  • Design AI chatbots with long-term memory using local storage
  • Develop web-based AI assistants with Streamlit
  • Create AI-powered document readers for PDFs
  • Build AI-driven personal finance trackers
  • Enhance AI models with prompt engineering techniques
• Key Skills Learned:
  • Building AI-powered agents
  • Developing AI models for human-like responses
  • Implementing AI-driven automation bots
  • Utilizing local vector databases for AI assistants
  • Integrating speech-to-text and text-to-speech capabilities
  • Designing AI chatbots with long-term memory
  • Developing web-based AI assistants with Streamlit
  • Creating AI-powered document readers
  • Building AI-driven personal finance trackers
  • Enhancing AI models with prompt engineering techniques

Course Format

• Duration: 2.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • Access on mobile and TV
  • Certificate of completion