Certification Course · Certification in Agentic Systems and Design
Certification in Agentic Systems and Design
6 Months | 8-10 hours per week | Online
- Fee
- ₹50,000 + GST
- Schedule
- 6 months | Mode- Online
- Seats
- 100
- Enrolled
- 22
- Trainer
- MASAI School
- Rating
- ★ 4.5
Apply now 100 seats
CD
Overview
About this course
Course Overview:
Drive your career forward by mastering Agentic AI. Learn to design, govern, and deploy autonomous agents that solve complex business challenges and fortify digital assets. Move beyond simple Generative AI to become a high-impact professional, ready to lead with strategic governance and build robust solutions using 15+ leading frameworks and tools.
Drive your career forward by mastering Agentic AI. Learn to design, govern, and deploy autonomous agents that solve complex business challenges and fortify digital assets. Move beyond simple Generative AI to become a high-impact professional, ready to lead with strategic governance and build robust solutions using 15+ leading frameworks and tools.
Outcomes
What you'll achieve
- Receive a Certificate of Completion from iHUB DivyaSampark IIT Roorkee, recognizing your achievement.
- An Optional Campus Immersion: 3-day campus immersion for direct interaction with industry experts and peers.
- Receive resume reviews, career coaching, and placement support to land your dream role. (Eligibility: 7+ CGPA and 65% attendance)
- Access cutting-edge business analysis content, engaging simulations, and practical evaluations. Focus on real-time project implementation for hands-on mastery.
- Work on hands-on projects and real-world AI scenarios, applying LangChain and multi-agent frameworks to solve complex, industry-relevant problems.
- Learn directly from top-tier faculty and industry experts.
Voices
Learner testimonials
- •Defining Agentic Systems: Core components (planning, reasoning, memory, action).
- •The Business Case for Agents: Identifying high-impact scenarios.
- •Understanding the LLM Layer: LLMs as the brain for agents.
- •Introduction to Frameworks: Overview of LangChain, CrewAI, and AutoGen.
- •Advanced Prompt Engineering: Crafting effective system prompts and self-correction.
- •The Role of Memory: Implementing short-term and long-term memory.
- •Retrieval-Augmented Generation (RAG): Grounding agents in proprietary data.
- •Tool Integration (Functions): Connecting agents to external APIs and databases.
- •Setting up the Agent Environment: Configuring the development environment.
- •Building Your First Agent: Implementing planning, tools, and RAG in a single-agent system.
- •Testing and Iteration: Debugging, evaluation, and adaptive feedback loops.
- •Real-World Use Cases: Streamlining tasks in finance, HR, and content creation.
- •Designing Multi-Agent Workflows: Creating teams of specialised agents and sequential tasks.
- •Framework Deep Dive: Hands-on practice with CrewAI and AutoGen roles and communication.
- •Deployment and Monitoring: Strategising deployment, observability, and logging.
- •Governance and Ethical Scaling: Protocols for ethical use and data privacy.
- •No-Code Agent Builders: Introduction to n8n, make.com, and ChatGPT agents.
- •Full-Cycle Agent Design: Problem definition, tool identification, and memory structure.
- •Prototyping a Multi-Agent System: Building a functional system using LangChain, CrewAI, or AutoGen.
- •Strategic Pitch: Creating a business case with ROI, ethics, and deployment details.