Instructor - Agentic AI

Deliver live online instructor-led training sessions covering Agentic AI, Generative AI, Machine Learning, Deep Learning, NLP, and Large Language Models.

About Us Simplilearn is the world’s #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations. We focus on emerging technologies and skills, such as data science, cloud computing, programming, artificial intelligence, cybersecurity, product management, and more—skills that are transforming the global economy. Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment. Over two million professionals and 2,000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals. Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with top US universities to grow internationally. Position Overview The Online Trainer – Agentic AI, Machine Learning & Generative AI plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our advanced AI and Agentic AI programmes. The trainer will facilitate live online training sessions covering Agentic AI, AI Agents, Generative AI, Large Language Models, Machine Learning, Deep Learning, NLP, and AI-powered automation. This role involves explaining complex AI concepts, demonstrating agentic AI architectures and workflows, conducting hands-on demonstrations using modern AI frameworks and tools, and connecting technical concepts with real-world business applications. The ideal candidate should have strong hands-on experience building or implementing AI agents, multi-agent systems, LLM-powered applications, RAG pipelines, tool-using agents, and AI automation workflows. Classes are delivered 100% online in a synchronous, instructor-led format. Key Responsibilities Deliver live online instructor-led training sessions covering Agentic AI, Generative AI, Machine Learning, Deep Learning, NLP, and Large Language Models. Cover core Agentic AI and Generative AI topics including: • Agentic AI fundamentals and evolution • AI Agents and autonomous AI systems • Agent architectures and agentic workflows • Large Language Models and LLM-powered applications • Prompt Engineering and advanced prompting techniques • Retrieval-Augmented Generation (RAG) • Tool calling and function calling • AI agent memory and context management • Planning, reasoning, and task decomposition • Multi-agent systems and agent collaboration • AI workflow automation • LLM orchestration • Machine Learning and Deep Learning fundamentals • Neural Networks, Attention Mechanisms, and Transformers • Natural Language Processing and text classification • BERT, GPT, GANs, VAEs, and Diffusion Models • Responsible AI, security, bias, and ethical considerations • Emerging trends in Agentic AI and autonomous AI systems Prepare and continuously update: • Training presentations • Learning materials • Practical exercises • Hands-on activities • Agentic AI demonstrations • AI agent use cases • Real-world business case studies • Templates and reference materials Conduct interactive workshops, Q&A sessions, quick knowledge checks, guided practice, and hands-on demonstrations. Conduct practical demonstrations using modern AI frameworks, platforms, and tools such as: • LangChain • LangGraph • CrewAI • AutoGen • ChatGPT • Hugging Face • AI APIs and LLM platforms • RAG frameworks and vector databases • Workflow automation platforms Guide learners through real-world Agentic AI scenarios using practical business and industry examples. Demonstrate how AI agents can be designed to reason, plan, use tools, retrieve information, collaborate with other agents, and automate multi-step workflows. Support learners in developing practical skills for building and implementing LLM-powered applications and Agentic AI solutions. Maintain high learner engagement and instructional quality throughout all sessions. Stay updated with current Agentic AI practices, Generative AI developments, LLM technologies, AI frameworks, autonomous AI systems, and emerging industry trends. Collaborate with internal curriculum teams to continuously improve training content and learner outcomes. Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, or a related field. • 10+ years of professional experience in Artificial Intelligence, Machine Learning, Generative AI, Agentic AI, or related domains. • Strong hands-on experience designing, developing, implementing, or deploying Agentic AI systems and LLM-powered applications. • Prior experience delivering online instructor-led training for professionals or adult learners. • Demonstrated expertise across AI, Machine Learning, Deep Learning, NLP, Generative AI, and Agentic AI. • Strong understanding of: • Agentic AI architectures and AI agents • LLM-powered applications • Agentic workflows and automation • Large Language Models • Prompt Engineering • Retrieval-Augmented Generation (RAG) • Tool calling and function calling • AI agent memory and context management • Planning, reasoning, and task decomposition • Multi-agent systems • LLM orchestration • Machine Learning and Deep Learning • Neural Networks, Attention Mechanisms, and Transformers • NLP and text classification • BERT, GPT, GANs, VAEs, and Diffusion Models • Responsible AI, security, bias, and ethical AI • Hands-on experience with Agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks. • Strong understanding of AI APIs, LLM integration, and AI automation workflows. • Excellent communication, presentation, and facilitation skills. Required Skills • Strong hands-on expertise in Agentic AI and AI Agent development. • Strong instructional an