Full Stack Academy

Artificial Intelligence

• Deliver live online instructor-led training in Agentic AI, Generative AI, Machine Learning, Deep Learning, NLP, and Large Language Models
• Explain complex AI concepts and demonstrate agentic AI architectures, workflows, frameworks, and tools
• Teach topics including AI agents, LLM applications, prompt engineering, RAG, tool/function calling, agent memory, planning, reasoning, multi-agent systems, automation, orchestration, neural networks, transformers, NLP, generative models, and responsible AI
• Prepare and continuously update presentations, learning materials, practical exercises, hands-on activities, demonstrations, use cases, case studies, templates, and reference materials
• Conduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands-on demonstrations
• Guide learners through real-world Agentic AI scenarios and business applications
• Support learners in building LLM-powered applications and Agentic AI solutions
• Provide individualized learner support during live sessions and scheduled office hours
• Maintain communication regarding learner progress, expectations, and skill development
• Provide timely, constructive feedback on exercises, activities, and assessments
• Evaluate learner progress using participation, knowledge checks, practical exercises, and hands-on activities
• Maintain accurate learner engagement and performance records
• Identify learners needing additional support and collaborate with internal teams to improve outcomes
• Stay current with Agentic AI, Generative AI, LLM technologies, frameworks, autonomous AI systems, and industry trends
• Collaborate with curriculum and instructional teams to improve content, training quality, learner experience, and outcomes
• Foster an inclusive, collaborative, and professional learning environment
• Represent Simplilearn professionally with learners, staff, and external stakeholders

Instructor – Agentic AI

Instructor

• Deliver live online instructor-led training on Advanced Generative AI, LLMs, Prompt Engineering, RAG, AI APIs, LLM applications, and AI-powered automation
• Explain advanced Generative AI concepts and demonstrate practical applications of LLMs and AI tools
• Conduct hands-on demonstrations using modern GenAI platforms, frameworks, and tools
• Teach Generative AI fundamentals, LLM architectures, foundation models, prompting, RAG, embeddings, vector databases, context management, function calling, APIs, orchestration, fine-tuning, evaluation, multimodal AI, automation, enterprise applications, and responsible AI
• Prepare and continuously update presentations, learning materials, practical exercises, hands-on activities, demonstrations, case studies, templates, and reference materials
• Conduct interactive workshops, Q&A sessions, knowledge checks, guided practice, and hands-on demonstrations
• Guide learners through practical business and industry Generative AI scenarios
• Demonstrate generation, analysis, transformation, summarisation, and interaction with text, documents, images, audio, video, code, and enterprise data
• Demonstrate integration of LLM applications with external data sources, APIs, databases, enterprise systems, and business workflows
• Support learners in designing, building, evaluating, and implementing Generative AI solutions
• Maintain learner engagement and instructional quality throughout sessions
• Stay current with Generative AI developments, foundation models, LLM technologies, AI tools, frameworks, multimodal capabilities, and industry trends
• Collaborate with curriculum and instructional teams to improve training content and learner outcomes
• Provide individualised learner support during live sessions and scheduled office hours
• Communicate learner progress, training expectations, and skill development
• Provide timely, constructive feedback on exercises, activities, and assessments
• Evaluate learner progress using participation, knowledge checks, practical exercises, and hands-on activities
• Maintain accurate learner engagement and performance records
• Identify learners needing additional support and collaborate with internal teams to improve outcomes
• Foster an inclusive, collaborative, and professional learning environment
• Serve as a mentor and industry role model
• Represent Simplilearn professionally with learners, staff, and external stakeholders

Instructor – Advanced GenAI

Customer Support

• Conduct regular outbound calls to learners
• Welcome learners to the program
• Remind learners of upcoming classes or milestones
• Encourage participation and course completion
• Follow up with inactive or at-risk learners to understand challenges and offer support
• Provide clear, empathetic guidance to help learners navigate their journey
• Log learner interactions and status updates in the CRM
• Collaborate with operations, academic advisors, and other internal teams to address learner needs
• Share learner feedback and insights to improve the learner experience
• Manage learner feedback and testimonials

Instructor – Agentic AI

Instructor – Advanced GenAI

Customer Support Associate