Overview
Understand the Foundations of Agentic AI Learners will grasp the core principles of agency in AI, differentiating between chatbots., Build and Deploy Intelligent AI Agents Students will gain hands-on experience designing, coding, and orchestrating AI agents that can perceive, plan., Integrate Memory, Knowledge Retrieval, and Workflow Automation Learners will develop agents capable of retaining context, retrieving information., Design Safe, Aligned, and Ethical AI Systems Students will learn to implement safety mechanisms, ethical guardrails, and alignment strategies.
AI Enthusiasts and Developers Curious about how large language models (LLMs) evolve into full-fledged agents capable of reasoning, planning, and acting autonomously., Data Scientists, ML Engineers, and Software Developers Looking to extend your existing AI or automation skills into the emerging field of Agentic AI — integrating memory, tools, APIs, and workflows., Business Analysts, Product Managers, and Innovators Interested in applying intelligent agents to real-world use cases such as customer support, workflow automation, or AI-driven decision-making., Students and Researchers Seeking a practical, hands-on introduction to the rapidly growing domain of autonomous AI systems and multi-agent collaboration., Anyone Curious About the Future of AI Whether technical or non-technical, this course helps you understand how AI systems can safely act, adapt, and align with human goals.
Basic Programming Knowledge (Recommended) Familiarity with Python will help you understand and implement hands-on labs more easily., Interest in AI, Automation, or Machine Learning Curiosity about how intelligent systems think, reason, and act is more important than deep technical expertise., Comfort Using Online Tools or Jupyter Notebooks Labs will use browser-based environments such as Google Colab or Jupyter for coding demonstrations., Internet Connection and a Computer Needed to access course content, run AI demos, and explore APIs or frameworks introduced in the lessons.
“This course contains the use of artificial intelligence”
Agentic AI – Building the Next Generation of Smart Agents
Step into the future of Artificial Intelligence with this comprehensive course on Agentic AI — the evolution of systems that don’t just react but reason, plan, and act autonomously.
In this course, you’ll learn how to create intelligent AI agents that combine decision-making, memory, and tool integration to perform tasks independently and safely. You’ll explore how Large Language Models (LLMs), retrieval mechanisms, and workflow orchestration come together to build powerful agentic systems capable of solving real-world problems.
Through hands-on labs and practical exercises, you will:
Build a goal-driven autonomous agent using Python
Implement memory and knowledge retrieval for context-aware reasoning
Integrate tools and APIs for real-time actions
Design multi-agent systems that collaborate to complete complex tasks
Add ethical guardrails and safety layers to ensure responsible autonomy
Each section includes step-by-step coding labs in Jupyter or Google Colab, helping you gain practical skills from theory to implementation.
By the end of this course, you’ll have mastered the foundational principles and technical workflows to design, deploy, and manage Agentic AI systems that are intelligent, explainable, and aligned with human values.
No advanced AI knowledge required — just passion, curiosity, and a desire to shape the future of autonomous intelligence.
Data Science Academy
Data Science Academy is a leading provider of practical, industry-focused training in data analytics, data science, and business intelligence. With a mission to make data skills accessible to everyone, the academy designs courses that bridge the gap between theory and real-world application.
Our team of expert instructors brings years of professional experience from diverse industries, including technology, finance, healthcare, and aviation. We specialize in creating hands-on learning experiences that cover the full data lifecycle—from data collection and cleaning to analysis, visualization, and storytelling.
At Data Science Academy, we believe in learning by doing. Our courses feature step-by-step projects, interactive exercises, and real-world datasets, enabling learners to build job-ready skills in Excel, SQL, Python, Power BI, Tableau, and other leading tools.
We are passionate about empowering students to turn raw data into actionable insights that drive decision-making. Whether you are a beginner exploring data for the first time or a professional looking to upgrade your skill set, our courses are designed to help you succeed in today’s data-driven world.
Recent training programs from Data Science Academy include Python for Data Analysis, SQL for Business Intelligence, and Data Visualization with Power BI—all crafted to prepare learners for real-world analytics roles.