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New to AI agents? This course walks you through how agents are designed, step by step—focusing on concepts, workflows, and decision-making rather than complex code.
Instead of big classes where it’s hard to get personal attention, or expensive 1:1 classes, Buddy Learning keeps the group very small — only up to five students. This way, you still get personal help and interactive lessons, but at a price that’s much more affordable. It’s engaging, effective, and friendly for your pocket.
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Students and early-career professionals seeking an accessible entry point into agentic AI without needing deep infrastructure or framework-specific expertise.
Professionals transitioning into AI-related roles who want to build a solid mental model of how AI agents work before moving on to more advanced implementations.
Product managers who want a conceptual and practical understanding of AI agents in order to design, evaluate, or scope agent-based solutions.
Everything you need to know before getting started
General awareness of large language models (LLMs), such as having used tools like ChatGPT or similar AI assistants.
Basic programming familiarity, such as an understanding of variables, functions, and control flow (prior experience with Python is helpful but not required).
AI Agents, Explained: From Concepts to Practical Design is a beginner-friendly course that introduces the foundational ideas behind modern AI agents, with a strong emphasis on agentic design rather than complex implementation details. The course focuses on how agents reason, use tools, manage context and memory, and are evaluated—helping learners develop the mental models needed to design reliable agent-based systems.
Through a combination of clear explanations and hands-on exercises, you will explore core agent concepts such as agent workflows, tool usage, context management, evaluation strategies, and deployment considerations. Examples and exercises are taught using Google’s Agent Development Kit (ADK), which provides a structured and approachable environment for learning agentic patterns without being overwhelmed by low-level code or infrastructure concerns.
India Standard Time (IST)
Duration
7 Weeks
Total Hours
21 hours
Weekly Hours
3.0h per week
Classes per Week
3 sessions
3
weekly classes
Get unlimited access to all course content, video lectures, downloadable resources, practice exercises, and future updates for a full 1 years.
Join our vibrant learning community where you can ask questions, share insights, connect with like-minded peers, and get support throughout your educational journey.
Participate in weekly live sessions with expert instructors. Ask questions in real-time, get immediate clarification, and engage with fellow students in an interactive environment.
Apply your knowledge with carefully crafted assignments that mirror real-world scenarios. Get personalized feedback from instructors to improve your skills.
Regular assessments to track your progress and identify areas for improvement. Instant feedback helps you understand concepts better and reinforces learning.
Earn a professional certificate upon successful completion of the course. Our certificates are recognized by industry leaders and can boost your career prospects.
Yes! LCMGO offers a first-2-class money-back guarantee. If a student finds the class not engaging or not meeting expectations, they can request a refund before attending the third class. No questions asked.
AI-generated summaries after each live class together with quizzes aligned to the instructor’s material — an adaptive learning path that evolves with you. Perfect for quick revision, targeted practice, and retaining key concepts.
Included at no extra cost
Prompt Engineering | Best Practices
11+ years of experience across diverse industries– Media, Retail, Healthcare, Ecommerce and Consumer Technology. Experienced in end-to-end analytics workflows: data extraction, transformation, visualization, KPI tracking and insights. Proven track record of enabling strategic business and product decisions through data driven insights. Strong experience in working with cross functional teams, including Product, Engineering, Marketing, and AI/ML.
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