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Advanced Certification in GenAI and Multi-Agent Systems Program

Period: 6 Months | Impact: 128% Avg. hike | Joins: 80K+ Students
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What you will learn

Build Skills for the Future of Artificial Intelligence era

Complete the Advanced Certification in GenAI and Multi-Agent Systems, an intensive, elite program designed by Coding Ninjas. This curriculum is engineered to build advanced foundations in generative AI, large language models (LLMs), and autonomous agent architectures. The program comprehensively covers critical concepts such as API integration, vectorization, semantic search, vector databases, and Retrieval-Augmented Generation (RAG) alongside its advanced evaluation and fallback strategies. Alongside these fundamentals, you will gain practical exposure to multi-agent systems (MAS) and tool orchestration, learning to build custom agentic ecosystems that solve modern, complex automation challenges. Through extensive hands-on projects and over 20+ cutting-edge AI tools, you will master the development, testing, and deployment of intelligent systems to elevate business productivity and drive technological innovation.

Key Stats:

  • 80% increase in 3 years - AI skills demand in job market
  • 70% faster coding productivity - AI tools significantly boost developer efficiency
  • 2.3 millions job by 2027 - Rapid growth in AI roles worldwide
  • 53% skill gap - Employers struggle to find AI-ready professionals

Pillars of learning

1. Prompt Engineering & API Integration

  • Topic: Foundations of Generative AI & LLM Integration
  • Description: Master LLMs, prompt engineering strategies, and secure API interactions in Python. Manage conversation context, parse JSON, and implement validation guardrails.

2. Retrieval-Augmented Generation & Vector Architectures

  • Topic: Knowledge Bases & Semantic Search
  • Description: Optimize LLMs with external data using advanced RAG frameworks. Master document chunking, text embeddings, hybrid search, vector databases, and evaluation frameworks.

3. Autonomous AI Agents & Multi-Agent Systems

  • Topic: Agentic Workflows & Tool Orchestration
  • Description: Design autonomous systems executing complex workflows using LangChain, LangGraph, or CrewAI. Master tool orchestration, structured agent routing, and multi-agent protocols.

4. Deployment, Project Integration & Agentic IDEs

  • Topic: System Deployment & AI-Assisted Development
  • Description: Integrate GenAI architectures into production pipelines and deploy complete projects. Leverage advanced Agentic IDEs and AI development workflows to accelerate software engineering.

Eligibility

Final Year College Students | Graduates | Working Professionals

Module

Week 1 |

Introduction to Generative AI Foundations

Distinguishing AI, ML, and DL to understand the core evolution of artificial intelligence, Introduction to GenAI and its transformative impact across industries, Open-source vs. closed-source models: Strategic advantages and architectural trade-offs

Week 2 |

Platform ecosystems and Foundations of Prompt Engineering

GenAI platforms overview: Deep dive into text and reasoning architectures (OpenAI, Anthropic, Mistral, Claude), Ethical Considerations in GenAI: Addressing bias, safety, and responsible AI deployment, Anatomy of a prompt: Breaking down Role, Instruction, Input, and Output frameworks

Meet Our Expert

  • Prakash Chandra Sinha

    Prakash Chandra Sinha

    VP - Applied AI/ML Lead at JP Morgan
    He possesses extensive specialized expertise in building generative AI workflows, large language models (LLMs), deep learning, and robust Multi-Agent Systems. Deeply invested in industry-read curriculum engineering and modern AI applications, he actively translates complex enterprise machine learning strategies into actionable project architectures for scaling technical professionals.
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Course Fee

Early bird - 22% Off
NDTV READER EXCLUSIVE — ADDITIONAL 5% OFF
₹70000 ₹100000 Save ₹30000
EMI options available
₹5,000 refundable deposit holds your seat • 7-day money-back guarantee
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What Is Included

  • All 50+ live sessions with unrestricted access to recordings if a live class is missed.
  • Every graded assignment is thoroughly reviewed by Ninja AI
  • Comprehensive placement and career support, which includes custom Resume enhancement, LinkedIn profile optimization, and 10+ tailored Mock Interviews.
  • 10X Hackathons with top companies and CXO Cafe with Industry Leaders

Frequently asked questions

1. What is the Advanced Certification in GenAI and Multi-Agent Systems Program?

The Advanced Certification in GenAI and Multi-Agent Systems Program is a 6-month live training program designed for working professionals from technical backgrounds. The course focuses on real-world applications of Generative AI, LLMs, and autonomous agent systems through hands-on projects, 1:1 mentorship, and expert-led sessions. It includes access to the NSDC job portal and more to help you transition into cutting-edge AI roles.

2. What is the duration and mode of the GenAI certification program?

This is a 6-month live online program. You will learn through expert-led sessions and give 1:1 real-time doubt support.

3. Who is eligible to enroll in this GenAI and Multi-Agent Systems course?

The program is best suited for working professionals from technical domains (e.g., developers, analysts, engineers) who want to upskill in the latest advancements in Generative AI and Autonomous Agent Systems.

4. Do I need a computer science degree to apply?

No. If you're working in a technical domain and are eager to learn the latest advancements in technology, especially in Generative AI and Multi-Agent Systems, you're welcome to join. A formal computer science degree is not mandatory.

5. I’m a working professional in tech, but I’m feeling stuck. GenAI is changing everything and I feel left behind. Will this certification actually help me?

Yes, you are eligible to apply for the program. Once you are enrolled, our team will focus on upskilling you to help you land a better-paying job.

6. What kind of projects will I build in this GenAI certification?

You’ll work on 10+ real-world projects aligned with industry needs. Each project is reviewed by expert mentors and includes hands-on training in building GenAI applications and multi-agent solutions.

7. Will my projects be reviewed by industry experts?

Yes, all projects are reviewed by domain experts who will provide feedback to improve your technical and problem-solving skills.

8. Will this course help in improving my online job profile?

Definitely! This course boosts your online job profile by helping you build a strong portfolio with 10+ mentor-reviewed AI projects and hands-on Gen AI training. You’ll get access to the NSDC job portal, live classes, 24×7 AI doubt support, industry webinars and Gen AI Trends updates. Plus, the 10X Club community helps you network and stand out to recruiters.

9. How do I get my doubts resolved?

You can get your doubts resolved anytime through 24×7 1:1 AI doubt support and by reaching out to your dedicated Relationship Manager for personalized guidance. Plus, live classes let you ask questions in real-time, ensuring quick and effective help whenever you need it.

10. Is Python required for the GenAI and Multi-Agent Systems course?

Yes, basic Python knowledge is mandatory; those who don’t know it must complete the recorded Python course before Week 2 live sessions.

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