AI Agent Developer
Profile Code: AL-AI-03
- ₹25 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 20 Weeks
Skills You Learn: AI Agent Architecture & Design | Large Language Models (LLMs) | Agent Frameworks (LangChain, AutoGen, CrewAI) | Prompt Engineering & RAG Systems | API Integration & Tool Calling | Python & AI Application Development | Workflow Automation & MLOps | AI Safety, Evaluation & Optimization
Overview Video

About This Course
AI Agent Developers design, build, and deploy intelligent AI agents that automate complex tasks, interact with users, and integrate with business systems to improve productivity and decision-making. They leverage large language models (LLMs), AI frameworks, APIs, and automation tools to create autonomous, context-aware applications. This course prepares learners for a career as an AI Agent Developer through hands-on projects, industry workflows, collaborative learning, and real-world case studies aligned with current hiring expectations in India. Learners gain expertise in AI agents, prompt engineering, Retrieval-Augmented Generation (RAG), multi-agent systems, Python, LangChain, vector databases, API integration, workflow automation, and responsible AI practices. The curriculum includes practical experience with leading AI platforms and cloud technologies. Through live projects and capstone assignments, participants develop problem-solving, programming, and AI solution development skills, preparing them for AI Agent Developer, AI Engineer, LLM Engineer, and Intelligent Automation Developer roles across diverse industries.
Key Responsibilities
- Design and develop autonomous AI agents and multi-agent systems using large language models and agent frameworks
- Build agent workflows that integrate APIs, databases, and external tools for task automation
- Develop memory, reasoning, and decision-making capabilities for intelligent agents
- Test, monitor, and optimize agent performance, reliability, and safety in production environments
- Collaborate with AI engineers, product teams, and business stakeholders to deliver AI-powered automation solutions
Growth Path
Tools Used
Perfect For
Computer Science and Engineering Graduates | Software Developers and Backend Engineers | AI and Machine Learning Enthusiasts | Data Scientists and Automation Professionals | Product and Innovation Teams | Individuals Interested in Building Autonomous AI Systems
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
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