Agentic AI Trainer

Location: Eluru

Start Date: 8th December

Daily Workload: 6 hours | 2 batches

Company Description

Datavalley Inc. is a multinational corporation dedicated to transforming complex data into actionable intelligence through advanced technologies. Headquartered in the USA, Datavalley has a global presence with operations in the UK, Dubai, India, and more. The company specializes in delivering high-performance training programs in AI, Machine Learning, Data Science, Big Data, Cloud, DevOps, Full Stack Development, and Advanced Analytics. Through its premier upskilling initiatives and innovative development center, Datavalley drives cutting-edge solutions that shape the future of technology across diverse industries.

The trainer will lead classroom-based sessions focused on Agentic AI—one of the fastest-growing areas in technology. This program covers everything from Python basics to multi-agent systems and workflow automation using n8n and agent frameworks like CrewAI.

You will mentor students, help them build real-world agentic applications, guide them through mini-projects, and ensure they develop a strong functional understanding of modern AI stacks.

This is an on-site, contract-based role suitable for professionals who enjoy teaching and want to work directly with engineering students to shape their career paths.

• Deliver clear, engaging, and well-structured sessions on Agentic AI concepts.
• Teach foundational and advanced topics including agents, LLMs, RAG, embeddings, and multi-agent systems.
• Demonstrate tool-based implementations using CrewAI, LangChain Agents, vector DBs, and n8n.
• Help students work on real-time mini-projects and guide them through hands-on coding tasks.
• Clarify conceptual and practical doubts to ensure strong learning outcomes.
• Maintain classroom discipline, student engagement, and consistent learning progression.
• Provide weekly updates on training progress, student performance, and project completion.
• Help students understand how Agentic AI applies to real-world industry use cases.
• Support students during project evaluations, code reviews, and debugging sessions.
• Ensure timely coverage of the curriculum within the scheduled program duration.

• Strong understanding of Agentic AI, LLM foundations, and AI agent architectures.
• Practical experience with any agent framework such as CrewAI, LangChain Agents, AutoGen, or similar.
• Good working knowledge of Python, APIs, JSON handling, NLP basics, and embeddings.
• Familiarity with vector databases (FAISS, Pinecone, ChromaDB, etc.) and RAG pipelines.
• Hands-on exposure to workflow automation tools, preferably n8n.
• Ability to break down complex concepts into easy-to-understand explanations for students.
• Strong communication skills and a student-friendly approach to teaching.
• Commitment to delivering consistent, high-quality sessions throughout the 2-month period.

• Python environment setup
• Data types, loops, functions, modules
• Working with APIs and JSON
• AI-relevant libraries
• Mini Project

• What are AI agents?
• Agent vs Traditional automation
• Agent capabilities & design patterns
• AI agent ecosystem overview
• Mini Project

• Text preprocessing, tokenization, embeddings
• NLP tasks: NER, sentiment, classification
• Transformer basics & attention
• LLM architecture & model landscape
• API integration
• Mini Project

• Foundations of prompt design
• Advanced techniques for agent prompts
• Testing & optimization
• Mini Project

• Memory types, strategies
• Dynamic retrieval & context window management
• Multi-source context integration
• Mini Project

• RAG concepts
• Embeddings & semantic search
• Vector database architecture
• Building RAG pipelines
• Mini Project

• Agent frameworks overview
• Tool schemas & integration
• State & memory management
• Agent patterns & design
• Mini Project

• Coordination & communication patterns
• CrewAI fundamentals
• Building agent teams
• Mini Project

• Agent interoperability
• Understanding A2A & MCP
• Use cases & comparison
• Mini Project

• Workflow patterns, error handling
• State management
• Human-in-the-loop concepts
• Mini Project

• n8n basics
• AI-powered workflow creation
• Integrating RAG & multi-agent components
• Mini Project

• Opportunity to teach cutting-edge technology in the emerging field of Agentic AI.
• Work with enthusiastic B.Tech students who are eager to learn and build real AI projects.
• Get hands-on exposure to modern Agentic frameworks, workflows, and automation tools.
• Stable monthly remuneration and structured work schedule.
• A strong platform to showcase your expertise in AI education.

Please contact: 9256899199

• We look forward to onboarding talented trainers who can inspire, guide, and create meaningful