Intro to AI Agents: Build an Army of Digital Workers with AI

Learn to run AI agents with the simple crew AI run command, choosing train, replay, or test, and manage roles like data researchers and reporting analysts.

learn the basics of the true ai crew ai framework, set up tools and a virtual environment, and build your first low-code ai agent with researcher and writer roles.

Build a basic research agent using OpenAI or Llama 3.1, set up a virtual environment in VS Code, and perform Google data research with LangChain tools.

Builds an AI-powered sales outreach agent that autonomously researches companies, crafts personalized emails, and sends them via Gmail SMTP, using templates and local large language models for efficient outreach.

Build an AI newsletter workflow with DeepSeek-R1, three agents (researcher, fact checker, writer), using Python, Surfer API key, and OpenAI API key.

Build and deploy an ai social media agent using cloud 3.7 to research trends, devise content strategies, and generate a daily content calendar through coordinated subagents.

OpenAI's agents framework introduces web search, file search with metadata filtering, and computer use tools for building automated agents with guardrails, streaming, and memory.

Explore N8N agentic automations to build AI-powered workflows across OpenAI, Serp API, Google Calendar, and Discord. Self-host with Docker or Railway and leverage templates for rapid, secure automation.

Explore Devin, the AI software engineer, who can learn new code, build and deploy AI applications end to end, fix bugs, and contribute to open source on Upwork projects.

Explore the basics of perplexity ai and build no-code agents for task-based automation, enabling content creation without coding while noting limitations like automatic posting.

Explore perplexity's user interface and features—search, focus filters, copilot, threads, library, and playground—and learn to conduct research using open-source models and multiple sources.

The co-pilot feature in perplexity sharpens your queries by narrowing results to specific genres and sources, acting as a research assistant once you log in to access generations.

Use collections in Perplexity AI to standardize responses, like vacation planning by location, returning ideal visit time, budget, and safety; configure AI research agent prompts for summaries and simple explanations.

Explore how a privacy policy covers data collected (IP address, device type, personal info), data use for AI learning (not sold), opt-out settings, and 30-day inactive account deletion.

Use the Content Creator Research Collection to pull real-time stats from perplexity on topics like smog 72 B. Gather performance, parameters, and accessibility to inform data-driven videos.

Leverage perplexity AI to conduct financial research, pulling stock data from Yahoo Finance and investor relations, then analyze fundamentals, earnings, valuations, market sentiment, and generate a final score.

Develop a new product research agent by comparing web, YouTube, and Reddit insights to understand market needs, competitors, and user pain points for a silence removal tool.

Learn how a pre-sales research agent conducts real-time product and founder research before calls. Explore how news, partnerships, and hobbies inform confident customer conversations.

Leverage perplexity AI to perform student-based research, obtaining quick summaries, topic histories, and next-read recommendations through the student research agent.

Explore Wolfram Alpha, a computational knowledge engine that delivers direct, verified answers from its data source, reducing hallucinations and demonstrating math, science, and historical queries with visible sources.

Introduce GPT-4o, an omni model with vision, memory, image processing, and data processing, now free for all users, plus a voice assistant and desktop app for real-time interactions.