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Mastering AI Agents Bootcamp: Build Smart Chatbots & Tools
V
Vivian Aranha
3/19/2025
·
2 min read
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
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