Agentic AI is the next big shift after Generative AI — instead of just generating text, these systems plan tasks, use tools, retrieve knowledge, and complete multi-step work with minimal human input. Companies across BFSI, healthcare, e-commerce, and IT services are actively building and hiring for AI agent capabilities right now, and demand is far outpacing the supply of trained talent. This course takes you from Generative AI fundamentals through hands-on agent-building with LangChain, AutoGen, and CrewAI, RAG pipelines, and real deployment practices
● Agentic AI is one of the most searched and fastest-growing skill categories in tech hiring today
● Very few professionals in the market can actually build and deploy multi-agent systems — most only
know prompting
● Directly relevant across industries: automation, customer support, analytics, cybersecurity, and cloud
operations are all adopting AI agents
● A natural next step for developers, data professionals, and digital marketers looking to future-proof their
careers
● Agentic AI roles — AI Agent Developer, Automation Engineer, Prompt & Agent Engineer — are
opening up rapidly across MNCs and startups alike
● Employers are actively looking for candidates who can go beyond ChatGPT-style prompting into real
orchestration, tool-use, and evaluation
● Skills in this course stack directly on top of programmatic, data, and IT backgrounds — making it a
strong add-on for career switchers as well as freshers
● Build real AI agents using LangChain, AutoGen, and CrewAI — not just theory slides
● Work with RAG pipelines, vector databases, and tool integrations the way production systems are
actually built
● Capstone project: design, build, and deploy a working multi-agent system end-to-end
● Learn from mentors with hands-on Generative AI and Agentic AI implementation experience
● Small batches with continuous doubt-clearing and project reviews
● Internship-style project work to strengthen your practical exposure before interviews
● Resume and LinkedIn profiles built around your agent projects and capstone
● Mock interviews covering LLM concepts, agent architecture, and system design questions
● Placement assistance through our hiring partner network, with continued support post-course
Yes. We provide dedicated placement assistance, including resume building, mock interviews, and referrals to our hiring partners. We continue supporting you until you're placed, with an overall placement track record of 70%+.
Yes. The course begins with Generative AI and Python fundamentals before progressing into agent frameworks, so no prior AI experience is required—only a willingness to learn.
No. Agentic AI is an emerging field where practical project experience matters more than continuous employment history. We help showcase your portfolio and capstone project during interviews.
It's highly hands-on. You'll build real AI agents using LangChain, AutoGen, and CrewAI, work with RAG pipelines and vector databases, and complete a capstone project by deploying a working multi-agent system.
You can pursue roles such as AI Agent Developer, Automation/AI Engineer, Prompt & Agent Engineer, GenAI Application Developer, and AI Solutions Associate, with opportunities extending into AI/ML and automation careers.
Yes. After successfully completing your capstone project and assessment, you'll receive an industry-recognized Certificate of Completion in Agentic AI from Acton Engineers.
Not necessarily. We first cover the core concepts of Generative AI, including LLMs, prompting, and Retrieval-Augmented Generation (RAG), before moving into agentic frameworks and multi-agent orchestration.
Yes. AI agent development and automation skills are in high demand worldwide, making this course an excellent choice for professionals targeting international and Gulf-based technology roles.
Prompt engineering is only one part of the curriculum. This course goes beyond prompts into agent orchestration, tool usage, memory, RAG implementation, and deployment—the practical skills employers expect from Agentic AI professionals.
Become a certified Agentic AI professional with Acton Engineers — real agent-building experience, expert mentorship, and a team that stays with you till you're placed.
Become an AI professional equipped with the skills to build intelligent AI agents, Retrieval-Augmented Generation (RAG) systems, and multi-agent workflows. Gain hands-on experience with industry-leading frameworks, work on real-world projects, and build a portfolio that prepares you for high-demand AI careers.
Contact us today to learn more and enroll in the Agentic AI Course!
-> How LLMs work: Transformers, Tokens, and Embeddings
-> Prompt Engineering Essentials
-> Few-shot Prompting & Chain-of-Thought
-> OpenAI APIs & Hugging Face Models
-> Grounding LLMs with Custom Data
-> Embeddings & Chunking Strategies
-> Vector Databases (FAISS & Chroma)
-> Building a RAG Question Answering System
-> AutoGen & CrewAI Fundamentals
-> Role-based Agent Collaboration
-> Agent-to-Agent Communication
-> Business Workflow Automation
-> Evaluating Agent Performance
-> Hallucination Detection & Trace Review
-> AI Guardrails & Responsible AI Practices
-> Cost Monitoring & Optimization
-> Understanding Agentic AI Concepts
-> Goals, Planning, Memory & Tool Usage
-> Agentic AI vs Chatbots & Automation
-> Reasoning Loops: Plan → Act → Observe → Refine
-> LangChain Fundamentals
-> Chains, Tools & Agents
-> API Integration
-> Memory for Multi-turn Conversations
-> Connecting Agents to APIs & Databases
-> CRM & Cloud Integrations
-> Function Calling & Structured Outputs
-> Agent Orchestration Patterns
-> Deploying Agents with FastAPI
-> AI Chatbots & Research Assistants
-> Workflow Automation Agents
-> Applications in Healthcare, Finance & E-commerce
-> Build an End-to-End Multi-Agent AI System
-> Solve a Real Business Problem
-> Present Architecture & Evaluation Results
Python, OpenAI API / Hugging Face, LangChain, AutoGen, CrewAI, FAISS/Chroma (vector databases), FastAPI
Acton Engineers Certificate of Completion in Agentic AI