01
Agentic AI & Prompt Engineering
Understanding AI agents, LLMs, prompt engineering, RAG, embeddings, document processing, and responsible AI.
Technology & IT Programs
Agentic AI Accelerator
- Duration
- 3 Months
- Format
- Live Online
- Skill Level
- Intermediate
Course Details
- PaymentFlexible payment options
- Core SkillsLLMs, LangChain, AutoGen, n8n, Python, Vector Databases, REST APIs
- PrerequisitesBasic programming knowledge (preferably Python) and familiarity with core AI concepts.
- BatchesWeekend batches available
About the course
The Generative AI & Agentic AI Accelerator Program is an advanced certification Course at My Value Academy (MVA) is conducted by experts with international exposure. Online classes are aligned with task-based projects. The student gets globally recognized certification from Singapore, known for its credibility. The program is designed to move learners beyond simple prompt engineering into building fully autonomous AI systems. It focuses on the creation of intelligent software agents capable of reasoning, breaking down complex tasks, making decisions, executing multi-step workflows, and using external tools and APIs without continuous human intervention.
Why is it needed?
Increasing manpower cost and skill gaps to conduct tasks dents productivity. Standard generative AI tools like raw chatbots can deal with primary queries coming from the customers. Modern industries require autonomous AI agents that can seamlessly execute end-to-end tasks, like a virtual staff on roll. Mastering Agentic AI equips developers, engineers, and product teams to design system-level AI architectures that actively drive business processes.
What the course covers
02
Agent Architecture & Multi-Agent Systems
Exploring agent frameworks, memory, tool and API integration, multi-agent collaboration, and workflow orchestration.
03
Advanced Orchestration & Deployment
Learning workflow automation, human-in-the-loop controls, testing, debugging, Docker, Kubernetes, and cloud deployment.
04
Security & Scalability
Understanding AI agent security, compliance, performance optimization, and scaling agents for real-world applications.
05
Industry Applications & Business Impact
Exploring AI agents in finance, healthcare, retail, and logistics, alongside enterprise integration, performance metrics, and ROI analysis.
Course outcomes
By the end of the course, you will be able to:
Build and deploy AI agents for real-world applications.
Develop LLM-powered solutions using Python and AI frameworks.
Automate workflows with AI, APIs and n8n.
Integrate AI with business systems and databases.
Create practical Agentic AI projects for your portfolio.
Career opportunities
AI Engineer Generative AI Developer AI Automation Specialist Agentic AI Developer AI Solutions Engineer
Course FAQ
Go beyond asking AI questions and explore how to build intelligent AI agents! Learn how AI systems can use tools, connect with APIs and automate multi-step workflows.
The programme runs for three months through live online sessions, giving you a structured path to explore advanced AI concepts and applications.
Basic programming knowledge is a prerequisite, preferably Python, along with familiarity with core AI concepts.
Explore large language models (LLMs), LangChain, AutoGen, n8n, Python, APIs and vector databases.
The programme focuses on building and deploying AI agents, automating workflows and integrating AI with business systems. It also includes practical AI projects for your portfolio.
Build skills relevant to roles such as AI Engineer, Generative AI Developer, AI Automation Specialist, Agentic AI Developer and AI Solutions Engineer.
Weekend batches are available for this course.