The Art & Science of Prompt Engineering
Micro Credentials Overview: Building Intelligent Agents with LLMs
Large Language Models (LLMs) are transforming the way we interact with AI, enabling intelligent automation, content generation, and decision-making across various domains. This workshop provides a comprehensive introduction to building intelligent agents using LLMs, focusing on prompt engineering, response optimization, and API-driven automation. Participants will explore advanced prompting techniques, domain-specific applications, and real-world use cases in content creation, data analysis, marketing, customer support, and more. Through hands-on exercises and a capstone project, they will gain practical experience in leveraging LLMs for intelligent and efficient AI-powered solutions.
Curriculum by Industry Expert
Mentors are Tech leads
80% Hand on Workshop
Skill Level Intermediate
Certification of Completion
Tools you master









What will you learn
Introduction to AI Agents and LLMs
- Overview of AI agents and their role in automation and decision-making.
- Understanding Large Language Models (LLMs) and their capabilities.
- Exploring real-world applications of AI agents powered by LLMs.
Foundations of LLM APIs
- Introduction to API-based interactions with LLMs.
- Understanding different API endpoints and their functionalities.
- Best practices for making efficient API calls and handling responses.
Architecting an AI Agent
- Key components and architecture of an AI-driven agent.
- Defining workflows and decision trees for intelligent automation.
- Choosing the right LLM for specific tasks and performance needs.
Building a Basic Conversational Agent
- Hands-on development of a simple AI chatbot using LLMs.
- Implementing context management and memory for better responses.
- Fine-tuning prompts to enhance conversational flow and accuracy.
Advanced Agent Capabilities
- Enhancing AI agents with advanced reasoning and multi-step workflows.
- Leveraging embeddings, retrieval-augmented generation (RAG), and fine-tuning.
- Optimizing responses for specific domains and industries.
Agents with External Integrations
- Connecting AI agents with databases, APIs, and third-party tools.
- Automating real-world tasks like email responses, report generation, and more.
- Implementing real-time data retrieval and decision-making.
Whom will you learn from ?
Sivaram is an AI Solution Architect with expertise in AI technologies like Generative AI, Computer Vision, and Machine Learning.
Vikas Patel, an IITian, is a Machine Learning Scientist at Nykaa with extensive experience in insurance, healthcare, finance, and e-commerce.
Sagnik Pal is a seasoned expert in leveraging AI and cutting-edge technologies to drive transformative business outcomes.
Senior Data Scientist at PwC, Data & Analytics and Engineering Specialist
As the Head of Technology at Blue Data, I help enterprises accelerate their data and AI transformation strategy.
As a Lead Data Scientist with 11 years of IT experience, I have conducted over 60 training sessions in Generative AI, ML/AI, and AWS.
Mohit is an AI/ML and Data enthusiast, and has been working with data, analysis, AI, and strategy & insights for 12+ years.
Project Associate in MathWorks GNSS Project | AI & Machine Learning | Data & Video Analytics | Generative AI & NLP for Business Solutions.
Co-Founder &CEO - CognisysAI Pvt. Ltd. || CTO - Incline Inventions Pvt. Ltd.
Senior Data Scientist with a wealth of experience in the fields of Computer Vision(CV), Natural Language Processing (NLP) & structured data analysis.
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Our certification in Building Intelligent Agents with LLMs showcases your expertise in leveraging powerful AI models to create smart, autonomous systems. It’s the key to unlocking advanced career opportunities in AI-driven automation across industries.
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FAQ's
We offer beginner to advanced courses in Artificial Intelligence, covering topics like Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and AI ethics.
Most courses use popular tools like Python, Jupyter Notebook, TensorFlow, and other open-source libraries. We provide setup guides to help you get started easily.
Most of our courses are self-paced, allowing you to learn on your own schedule. However, we also offer instructor-led cohorts and live sessions for select programs.
Yes, upon successful completion of any course or specialization, you’ll receive a digital certificate that you can share on LinkedIn or include in your resume.
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