AI & Machine Learning · Specialization · with Coursera
AI Agents: From Foundations to Applications
Build AI agents that retrieve, reason and act - the skill job descriptions now call agentic AI. Three courses take you from your first prompt-engineered agent to multi-agent systems running in production. Self-paced on Coursera, or 1-on-1 with a Board Infinity coach.
01 Preview & outcomes
What you’ll learn - and see a real lesson first.
What you’ll learn
- Design agents with tools, memory and multi-step reasoning
- Build production RAG with Pinecone embeddings and vector search
- Orchestrate agentic workflows in LangGraph
- Ship multi-agent systems with LangSmith evaluation and tracing
- Assemble an interview-ready portfolio: agent, RAG pipeline, capstone
Sample lessons are free to watch - no enrollment needed.
02 The syllabus, explained
Three courses. Three things you ship.
1Agent Foundations and Prompt EngineeringCourse 1
2RAG Systems & Agentic Workflows - Pinecone & LangGraphCourse 2
3Advanced Multi-Agent Systems & Production AI - LangSmithCourse 3
Full videos, graded assessments and deadlines live on Coursera - this is the same specialization, explained the way you’d actually decide on it.
Prefer a coach in your corner?
Board Infinity also delivers this exact syllabus 1-on-1 with a personal coach - live sessions, project reviews and interview prep, at your pace. It starts with a demo session with your matched coach.
03 Credential
Earn a career certificate employers recognise.
Coursera Specialization Certificate - issued under Board Infinity
Add it to your LinkedIn profile and resume the day you finish - plus an individual certificate for each of the three courses inside. Issued by an official Coursera instructor partner.
04 Career outcomes
The job market moved from prompts to agents.
Every major model release in the last two years has pushed the same direction: LLMs that don’t just answer, but act. Teams hiring for GenAI now list agents, RAG and orchestration in the JD itself.
AI Engineer, GenAI Developer, ML Engineer, AI Product Engineer - the fastest-growing openings in Indian tech hiring, and the same stack (RAG, LangGraph, vector databases) appears in nearly all of them.
Prompt-only skills are already commoditised. What employers screen for is whether you can build the system around the model - retrieval, tools, memory, evaluation. That is exactly what this specialization teaches.
You need working Python first. After this, MLOps or deep-learning specializations extend you further - but agents are the highest-leverage next step for anyone targeting GenAI roles today.
05 Offered by
Built by the partner behind 2,10,000+ Coursera learners.
Board Infinity - official Coursera partner
270+ courses · 2,10,000+ learners · 4.2★ average rating
Courses are designed and taught by practitioners from Board Infinity’s 2,000+ expert network - working engineers and specialists from global tech firms, publishing on Coursera.
06 Questions
Asked before enrolling.
How is this different from taking it directly on Coursera?
Do I need to be able to code?
Can I take this 1-on-1 with a coach instead of self-paced?
How long does the specialization take?
Do I get a certificate?
What will I actually build?
Does Board Infinity help with the job search afterwards?
07 Keep exploring
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Official Coursera partner
Official instructor status - 270+ courses, 2,10,000+ learners, 4.2★ average.
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