When you enroll in this course, you'll also be enrolled in this Specialization.
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
There are 4 modules in this course
Agent Foundations and Prompt Engineering is designed for learners eager to master the emerging field of AI agents and advanced prompt engineering. You'll learn how to design, build, and deploy intelligent AI agents using large language models (LLMs), craft high-quality prompts for various tasks, and automate complex workflows through programmatic execution and chaining.
To begin with, you'll explore the fundamentals of AI agents, including their structure, behaviors, and real-world applications. You'll understand how LLMs enable agent intelligence and compare different agent architectures from reactive systems to sophisticated tool-using agents.
The next module focuses on prompt engineering, where you'll learn to craft effective prompts using proven patterns like few-shot learning, chain-of-thought reasoning, and role prompting. You'll master the art of structuring prompts for optimal model performance and develop systematic evaluation strategies.
In the third module, you'll advance to programmatic prompt execution and chaining. You'll build multi-step workflows, integrate Python code with LLM APIs, handle errors gracefully, and create production-ready prompt systems with proper debugging and monitoring.
The final module teaches you to automate research and summarization tasks. You'll build end-to-end pipelines for collecting, processing, and summarizing information, implement both extractive and abstractive summarization methods, and evaluate outputs using comprehensive quality metrics.
By the end of this course, you will confidently:
• Design and implement AI agents for real-world automation and decision-making tasks
• Craft effective prompts using advanced patterns and systematic evaluation methods
• Build chained prompt workflows with robust error handling and programmatic control
• Develop automated research and summarization systems with quality assessment frameworks
Disclaimer: This is an independent educational resource created by Board Infinity for informational and educational purposes only. This course is not affiliated with, endorsed by, sponsored by, or officially associated with any company, organization, or certification body unless explicitly stated. The content provided is based on industry knowledge and best practices but does not constitute official training material for any specific employer or certification program. All company names, trademarks, service marks, and logos referenced are the property of their respective owners and are used solely for educational identification and comparison purposes.
Describe the structure, purpose, and components of AI agents.
Board Infinity is a full-stack career platform, founded in 2017 that bridges the gap between career aspirants and industry experts. Our platform fosters professional growth, delivering personalized learning experiences, expert career coaching, and diverse opportunities to help individuals fulfill their career dreams. Board Infinity has successfully facilitated over 20,000 career transitions, marking a significant impact in the career development landscape.
You'll learn to work with large language models (LLMs), prompt engineering techniques, Python for automation, LLM APIs, LangChain framework, and tools for building AI agents and automated workflows.
What can I build after completing this course?
You'll be able to build AI agents for workflow automation, customer experience chatbots, research automation tools, summarization pipelines, and intelligent decision-making systems using LLMs.
Will I get hands-on practice?
Yes! The course includes Python notebook demonstrations, practice quizzes after each video, AI dialogue exercises, and graded assessments to reinforce your learning with practical application.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.