Course Overview
- Course Title: Agentic AI: Building the Next Generation of Smart Agents
- Instructor: Muhammad Usman Mallick (Data Science Academy)
- Target Audience:
- Beginners to intermediate learners in AI, automation, or machine learning
- Developers interested in autonomous AI systems
- Professionals exploring AI-driven workflow automation
- Prerequisites:
- Basic programming knowledge (Python recommended)
- Interest in AI, automation, or machine learning
- Comfort using online tools (Google Colab, Jupyter Notebooks)
- Internet connection and computer access
Curriculum Highlights
- Key Topics Covered:
- Foundations of Agentic AI (agency vs. chatbots)
- Designing and deploying intelligent AI agents
- Memory, knowledge retrieval, and workflow automation
- Multi-agent systems and collaboration
- Ethical AI, safety mechanisms, and alignment strategies
- Integration of LLMs, tools, and APIs
- Key Skills Learned:
- Building goal-driven autonomous AI agents in Python
- Implementing context-aware reasoning with memory systems
- Orchestrating real-time tool and API integrations
- Designing safe, aligned, and ethical AI systems
- Developing multi-agent workflows for complex tasks
Course Format
- Duration: 3.5 hours on-demand video
- Format: Self-paced online course (pre-recorded lectures)
- Resources:
- 4 downloadable articles
- Hands-on coding labs (Jupyter/Google Colab)
- Mobile and TV access
- Certificate of completion
Additional Information
- Instructor Rating: 4.3/5 (285 reviews)
- Students Enrolled: 20,798+
- Language: English