What’s Included?

icon High-Video icon AI Mentor icon Access for Tablet & Phone

Prerequisites

    • Basic understanding of data concepts or business intelligence.
    • Interest in autonomous systems and AI-driven decision-making.
    • Subscription to the certification.
    • Laptop with stable internet connection.
    • No coding experience required (beginner-friendly modules included).
    • Familiarity with spreadsheets or CRM systems (optional).

Skills You’ll Gain

  • Autonomous agent orchestration.
  • Natural language data querying.
  • Predictive modeling and forecasting.
  • Multi-agent system design.
  • Automated market and competitor research.
  • Enterprise knowledge base automation.
  • AI-driven lead scoring and revenue analysis.
  • Asynchronous task management.
  • Real-time data synthesis and citation.
  • Integrating AI agents into existing business stacks.

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Tools You’ll Master

Auto-GPT

Auto-GPT

Datapad

Datapad

People.ai

People.ai

Databricks

Databricks

MindsDB

MindsDB

Dataiku (AI Agents)

Dataiku (AI Agents)

FuseBase

FuseBase

Manus AI

Manus AI

Akkio

Akkio

Perplexity

Perplexity

What You’ll Learn

Transition from traditional dashboards to autonomous AI + Data Agents that act on real-time insights

Design and deploy goal-driven AI agents capable of planning, executing, and completing multi-step tasks

Query and analyze complex datasets using natural language interfaces without writing code

Build and manage predictive models for forecasting, lead scoring, and trend analysis

Orchestrate multi-agent systems to handle research, analysis, execution, and reporting workflows

Automate market research, competitor analysis, and enterprise data discovery

Implement Retrieval-Augmented Generation (RAG) for grounded, enterprise-grade AI responses

Integrate AI agents seamlessly into CRMs, data platforms, and existing business systems

Create no-code and low-code agentic workflows for rapid deployment across teams

Manage agent memory, prioritization, and asynchronous task execution

Build AI-powered enterprise knowledge bases and client-facing portals

Frequently Asked Questions

Data analysts, business leaders, and anyone looking to automate data workflows with AI.

No. Most tools focus on "no-code" or "natural language" interfaces, though Python skills are a plus.

4–6 weeks of hands-on practice.

Many have free tiers or trials; the course covers both accessible and enterprise-level tools.

Yes, the assignments are designed to be applied to your real-world business data.