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Agentic AI for Developers Certification Training

Agentic AI for Developers Certification Training
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    Instructor-led Agentic AI for Developers live online Training Schedule

    Flexible batches for you

    Why enroll for Agentic AI for Developers?

    pay scale by Edureka courseThe Agentic AI Market, valued at USD 7.28 billion in 2025, is projected to reach USD 41.32 billion by 2030 - Mordor Intelligence
    Industries75% of consumers prefer businesses using Agentic AI for personalization, boosting customer retention by 40% - Market.us
    Average Salary growth by Edureka courseThe average annual salary for an AI Agent Engineer in the US is US$121,000 with an average annual bonus of $28,730 - Glassdoor

    AI Agents for Developer Coures Benefits

    Annual Salary
    AI Research Scientist average salary
    Hiring Companies
     Hiring Companies
    Annual Salary
    LLM Engineer average salary
    Hiring Companies
     Hiring Companies
    Annual Salary
    Generative AI Engineer average salary
    Hiring Companies
     Hiring Companies
    Annual Salary
    AI Agent Engineer average salary
    Hiring Companies
     Hiring Companies

    Why Agentic AI for Developers from edureka

    Live Interactive Learning

    Live Interactive Learning

    • World-Class Instructors
    • Expert-Led Mentoring Sessions
    • Instant doubt clearing
    Hands-On Project Based Learning

    Hands-On Project Based Learning

    • Industry-Relevant Projects
    • Course Demo Dataset & Files
    • Quizzes & Assignments
    Industry Recognised Certification

    Industry Recognised Certification

    • Edureka Training Certificate
    • Graded Performance Certificate
    • Certificate of Completion

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    About your Agentic AI for Developers

    Skills Covered

    • skillAgentic AI Development
    • skillAI Architecture Design
    • skillAgentic RAG Implementation
    • skillMulti-agent Systems
    • skillAI Observability & Ops
    • skillBuilding No/ Low Code AI Agents

    Agentic AI Tools Covered

    • python
    • Visual-code-studio
    • colab
    • Langchain
    • PHI-data
    • Crewai
    • Langflow
    • Langfuse
    • Autogen
    • Relevance-AI
    • Wordware
    • Chroma
    • Pinecone
    • Weavite
    • ChatGPT
    • Gemini
    • Ollama
    • Langwatch
    • LLamaIndex
    • Amazon-Bedrock

    Agentic AI for Developer Curriculum

    Curriculum Designed by Experts

    AdobeIconDOWNLOAD CURRICULUM

    Introduction to Agentic AI

    11 Topics

    Topics

    • Agentic AI Introduction
    • AI Agents vs. Agentic AI
    • Comparison: Agentic AI, Generative AI, and Traditional AI
    • Agentic AI Building Blocks
    • Autonomous Agents
    • Human in the Loops Systems
    • Single and Multi Agent AI Systems
    • Agentic AI Frameworks Overview
    • Ethical and Responsible AI
    • Agentic AI Best Practices
    • AI Implementation Success Stories: Case Studies

    skillHands-on

    • Analyzing AI Agent Use Cases
    • Exploring Agentic AI Frameworks

    skillSkills

    • Understanding Agentic AI Concepts
    • Identifying AI Agent Capabilities and Limitations
    • Navigating AI Frameworks and Architectures
    • Ethical and Responsible AI

    Agentic AI: Architectures and Design Patterns

    12 Topics

    Topics

    • Agentic AI Architecture
    • Agentic Architecture Types
    • Key Components of the Agentic AI Framework
    • Perception Module
    • Cognitive Module
    • Action Module
    • Learning Module
    • Collaboration Module
    • Security Module
    • Agentic AI Design Patterns
    • Reflection Pattern
    • Tool Use Pattern
    • Planning Pattern
    • ReAct (Reasoning and Acting) and ReWOO (Reasoning with Open Ontology)
    • Multi Agent Pattern
    • Design Considerations

    skillHands-on

    • Designing an AI agent architecture
    • Implementing different agentic AI design patterns

    skillSkills

    • Understanding Agentic AI Frameworks
    • Implementing AI Design Patterns
    • Designing Secure and Scalable AI Architectures

    Getting Started with LangChain and LCEL

    10 Topics

    Topics

    • Components and Modules
    • Data Ingestion and Document Loaders
    • Text Splitting
    • Embeddings
    • Integration with Vector Databases
    • Introduction to Langchain Expression Language (LCEL)
    • Runnables
    • Chains
    • Building and Deploying with LCEL
    • Deployment with Langserve

    skillHands-on

    • Build a Resume Screening Application with LangChain
    • Develop a Legal Document Review Application with LangChain

    skillSkills

    • Data Processing with Langchain
    • AI-Powered Document Retrieval
    • Building AI Pipelines with LCEL

    Building AI Agents with LangGraph

    13 Topics

    Topics

    • Introduction to LangGraph
    • State and Memory
    • State Schema
    • State Reducer
    • Multiple Schemas
    • Trim and Filter Messages
    • Memory and External Memory
    • UX and Human-in-the-Loop (HITL)
    • Building Agent with LangGraph
    • Long Term Memory
    • Short vs. Long Term Memory
    • Memory Schema
    • Deployment

    skillHands-on

    • Building a Finance Bot with LangGraph

    skillSkills

    • State Management in AI Agents
    • Implementing Long-Term AI Memory
    • Deploying AI Agents with LangGraph

    Implementing Agentic RAG

    8 Topics

    Topics

    • What is Agentic RAG?
    • Agentic RAG vs. Traditional RAG
    • Agentic RAG Architecture and Components
    • Understanding Adaptive RAG
    • Variants of Agentic RAG
    • Applications of Agentic RAG
    • Agentic RAG with Llamaindex
    • Agentic RAG with Cohere

    skillHands-on

    • Create an AI-Powered Sales Report Analyzer with LlamaIndex
    • Create a Market Research Agent with RAG & Cohere

    skillSkills

    • Implementing RAG Techniques
    • Building AI Agents with LlamaIndex and Cohere
    • Optimizing AI Retrieval Systems

    Developing AI Agents with Agno (Phidata)

    10 Topics

    Topics

    • Agents
    • Models
    • Tools
    • Knowledge
    • Chunking
    • Vector DB
    • Storage
    • Embeddings
    • Workflows
    • Developing Agents with Phidata

    skillHands-on

    • Design a Data Analysis Agent with Phidata

    skillSkills

    • Building AI Agents with Phidata
    • Optimizing AI Workflows

    Multi-Agent Systems with LangGraph and CrewAI

    9 Topics

    Topics

    • Multi Agent Systems
    • Multi Agent Workflows
    • Collaborative Multi Agents
    • Multi Agent Designs
    • Multi Agent Workflow with LangGraph
    • CrewAI Introduction
    • CrewAI Components
    • Setting up CrewAI environment
    • Building Agents with CrewAI

    skillHands-on

    • Building Multi Agent Systems with LangGraph and CrewAI

    skillSkills

    • Build a Customer Support Chatbot with LangGraph
    • Design a Stock Analysis Agent with CrewAI

    Agentic AI with Autogen

    10 Topics

    Topics

    • Autogen Introduction
    • Salient Features
    • Roles and Conversations
    • Chat Terminations
    • Human-in-the-Loop
    • Code Executor
    • Tool Use
    • Conversation Patterns
    • Developing Autogen-powered Agents
    • Deployment and Monitoring

    skillHands-on

    • Develop an AI Research Agent with Autogen

    skillSkill

    • Building Adaptive AI Agents
    • Deploying AI Agents with Autogen

    AI Agent Observability and AgentOPs

    10 Topics

    Topics

    • AI Agent Observability and AgentOPs
    • Langfuse Dashboard
    • Tracing
    • Evaluation
    • Managing Prompts
    • Experimentation
    • AI Observability with Langsmith
    • Setting up Langsmith
    • Managing Workflows with Langsmith
    • AgentOps Practical Implementation

    skillHands-on

    • AI Observability with Langsmith
    • AgentOps Practical Implementation

    skillSkills

    • Monitoring AI Agent Performance
    • Managing AI Workflows
    • Implementing AI Experimentation and Observability

    Building AI Agents with Langflow and Relevance AI

    12 Topics

    Topics

    • Introduction to No-Code/Low-Code AI
    • Benefits and Challenges of No-Code AI Development
    • Key Components of No-Code AI Platforms
    • Building AI Workflows Without Coding
    • Designing AI Agents with Drag-and-Drop Interfaces
    • Integrating No-Code AI with Existing Systems
    • Customizing and Fine-Tuning AI Solutions
    • Optimizing Performance and Efficiency in No-Code AI
    • Security and Compliance Considerations in No-Code AI
    • Best Practices for Deploying No-Code AI Solutions
    • Real-World Use Cases and Applications of No-Code AI
    • Scaling and Future Trends in No-Code AI

    skillHands-on

    • Scaling and Future Trends in No-Code AI
    • Design Your own SEO Agent with Relevance AI
    • Creating an AI Agent with Langflow

    skillSkills

    • No-Code AI Development
    • Workflow Automation Using AI
    • Building and Deploying AI Agents

    Bonus Module: Generative and Agentic AI on Cloud (Self-paced)

    12 Topics

    Topics

    • Deploying Generative AI Models with Amazon Bedrock
    • Implementing Retrieval-Augmented Generation (RAG)
    • Building and Managing AI Agents
    • Serverless AI Agent Deployment
    • Observability and Monitoring AI Agents
    • Developing Generative AI Applications with Azure OpenAI Service
    • Implementing Agentic AI Workflows with Azure Machine Learning (AML)
    • Fine-Tuning Large Language Models (LLMs) on Azure
    • Building AI Agents on Azure
    • AI Model Deployment and Governance on Azure
    • Working with Vertex AI Agent Builder
    • Building No Code Conversational AI Agents

    skillHands-on

    • Build and Deploy AI Models on AWS Bedrock, Azure OpenAI, and GCP Vertex AI

    skillSkills

    • Cloud-based AI Model Deployment of Generative AI Models
    • AI Agent Development on Cloud

    Agentic AI for Developer Description

    What is Edureka's Agentic AI for Developer Training Course?

    The course enables learners to build autonomous AI agents using LLMs like GPT without coding. This course by Edureka offers hands-on projects and tools like LangChain, CrewAI, and AutoGen. It covers essential concepts of agentic AI, agentic AI design patterns and architecture, agentic RAG, building AI agents with different frameworks, AI observability and monitoring, and using no/low code tools for building agents.

    Key Features:

    • No-code AI agent development
    • Real-world LLM projects
    • Tools: LangChain, AutoGen, CrewAI
    • Capstone project with expert guidance

        What are the prerequisites for this Agentic AI for Developer Training Course?

        Basic Python, ML, DL, NLP, generative AI, and prompt engineering knowledge is needed. Refresher materials are provided before live sessions.

          What will participants learn during this Course?

          Upon completing the course, participants will learn:

          • Build autonomous AI agents with LangChain, LangGraph, and CrewAI.
          • Implement agentic RAG for smart retrieval.
          • Develop multi-agent AI systems.
          • Integrate Autogen for adaptive workflows.
          • Monitor AI with LangFuse observability.
          • Use no-code AI development tools.
          • Deploy on AWS, Azure, and GCP.
          • Complete hands-on projects for real-world skills

            Who should take this AI Agents for Developer Training Course?

            The course is ideal for:

            • AI Enthusiasts and Developers
            • LLM Engineers & Generative AI Engineers
            • AI Research Scientists
            • AI/ML Practitioners
            • Freshers looking to enter AI roles
            • Professionals aiming to use Agentic AI for automation, reasoning, and decision-making

                What is the duration of the Agentic AI for Developer?

                Edureka’s course is a 10-week live instructor-led program with classes held every weekend. Each weekend includes 6 hours of live training, resulting in 60 hours of instructor-led training, along with self-paced learning modules for additional practice and learning.

                  What skills will I learn in the course?

                  You will develop practical skills for designing, building, and deploying AI agents. Key skills include:

                  • LangChain, LangGraph, and CrewAI
                  • MCP and tool integration
                  • Agentic RAG and GraphRAG
                  • Multi-agent orchestration
                  • AI guardrails and observability
                  • FastAPI, Docker, and deployment

                    What is the Cost of this Course?

                    Edureka offers Course at a very affordable cost of ₹24,999 with EMI options starting at ₹8,333 per month and offers discounts, with both weekday and weekend batches available.

                      Projects

                       certification projects

                      Build a Self-correcting Coding Assistant with LangChain

                      Develop a coding assistant using LangChain that identifies and corrects errors in code snippets automatically. Implement AI-driven error detection and self-correction to enhance ....
                       certification projects

                      Building a Finance Bot with LangGraph

                      Create an AI-powered finance assistant that provides real-time financial insights and recommendations using LangGraph.
                       certification projects

                      Build a Resume Screening Application with LangChain

                      Develop an AI-powered resume screening tool that extracts and ranks key candidate information using LangChain components.
                       certification projects

                      Create an AI-Powered Sales Report Analyzer with LlamaIndex

                      Build an AI tool that analyzes sales reports, extracts key insights, and generates summaries using LlamaIndex.
                       certification projects

                      Design a Data Analysis Agent with Phidata

                      Build an AI-powered data analysis agent using Phidata to process and visualize structured and unstructured data.
                       certification projects

                      Build a Customer Support Chatbot with LangGraph

                      Design and deploy a multi-agent chatbot for customer support using LangGraph to handle multiple inquiries efficiently.
                       certification projects

                      Design a Stock Analysis Agent with CrewAI

                      Develop an AI agent that analyzes stock trends, retrieves financial news, and provides investment insights using CrewAI.
                       certification projects

                      Develop an AI Research Agent with Autogen

                      Create an AI agent that autonomously researches topics, synthesizes information, and generates structured reports using Autogen.
                       certification projects

                      Design Your Own SEO Agent with Relevance AI

                      Create an SEO-optimized content generator using Relevance AI that analyzes keywords and suggests improvements.
                       certification projects

                      Content Writer Agent in Wordware

                      Create an SEO-optimized content generator using Relevance AI that analyzes keywords and suggests improvements.

                      Agentic AI for Developer Certification

                      Upon successful completion of the AI agents for developer program, Edureka provides the course completion certificate, which is valid for a lifetime.

                      To unlock Edureka’s course completion certificate, you must ensure the following:

                      • Fully participate in the Course and complete all modules.

                      • Complete the quizzes and hands-on projects listed in the curriculum.

                      Earning an Agentic AI for Developer certification offers multiple career and industry benefits, including:

                      • Validates skills in building autonomous AI agents with LangChain and LangGraph.

                      • Boosts career opportunities in AI and automation.

                      • Relevant for finance, healthcare, and robotics industries.

                      • Gives a competitive job market edge.

                      • Highlights ethical and responsible AI development.

                      After earning the Certification, you can pursue roles such as 

                      • AI/ML Engineer 

                      • AI Research Scientist

                      • Generative AI Engineer

                      • LLM Engineer 

                      • AI Agent Engineer 

                      • Autonomous Systems Developer

                      • and AI Solutions Architect

                      This certification enhances career growth in AI development, automation, and intelligent decision-making systems.


                      Agentic AI for Developer certification can be challenging as it requires a solid understanding of AI principles, autonomous systems, and AI agent frameworks like LangChain and LangGraph. However, with dedication, hands-on practice, and structured learning, it is achievable. Enrolling in an course with hands-on projects and expert guidance can significantly enhance your preparation and mastery of AI agent development.
                      Edureka Certification
                      John Doe
                      Title
                      with Grade X
                      XYZ123431st Jul 2024
                      The Certificate ID can be verified at www.edureka.co/verify to check the authenticity of this certificate
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                      Madhusudan Rao SSenior software consultant at PCS Technical Services, Bengaluru Area, India
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                      I had attended a couple of demo session with other training institutes before joining Edureka. I can safely say Edureka is one of the best training company. They have good trainers with excellent communication skills. Edureka has a very good support team which is always ready to help you out (haven't seen this with other). The classes happen over the weekend. The marketing team is extremely flexible and understanding. Happy learning :)

                      December 09, 2017
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                      Gnana Sekhar VangaraTechnology Lead at WellsFargo.com
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                      Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best.

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                      Michael HarkinsSolution Engineer-Open Source Analytics at IBM, former Systems Architect at Hortonworks
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                      The courses are top rate. The best part is live instruction, with playback. You get all the presentations and labs. Great instructions. But my favorite feature is viewing a previous class. They provide a set of videos from a previous session, so you can watch the course before you participate. This way you can get the most out of the course. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! I have taken so many courses and then not really gotten to work with a technology until I forgot most of what was taught. Edureka lets you go back later, when your boss says I want this ASAP!" ~ This is the killer education app... I've take two courses and I'm taking two more. Love these guys."

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                      Abhishek MishraExperience in Hadoop and Big Data Analytic, Java developer.
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                      Awesome faculty. Awesome explanation on topics. I really appreciate Edureka Support team. They are really doing a fantastic job. All my queries were answered in no time. I also approached your support team for a change in class and the instructor. They allowed me to choose instructor of my choice and now my learning is much at its peak. Thanks to one and all sitting out there in the support team. They even provide a prompt response during weekends. That's a good feature. We professionals get time only during the weekend to focus on studies and when we do so we get stuck into problems; but no way have we had a good Edureka support Team. Thanks once again.

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                      Edureka has very good instructors and technical support team, I have completed the course BIG DATA & AWS through web training, and it was very good training, helped me to learn very swiftly. When I stuck up in installation and in writing map reduce programming technical support resolved very quickly and I was very happy with their response in time. As well as they providing life time access for our completed course videos so it will be useful in real time projects. I feel very happy to recommend Edureka for my friends on big data course.

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                      Thanks a lot for your Android course. Right from the point of the start of the demo class, until the end of the complete course, the ride has been truly joyous and full of learning . I had no insight into Android development but with the help of your excellent instructor, I now stand a chance to explore wider into this. The webinars were truly awesome. Live Online sessions were highly interactive. The edureka! methodology for Online classes has changed the way I look at webinars now. Plus point is the knowledgeable course material. I am falling short of words describing the great experience of my Android training at edureka!. Thanks Team edureka!

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                      Edureka Agentic AI for Developer Advantage

                      WHAT I NEEDEDUREKA ADVANTAGEWHAT OTHERS OFFER
                      Agentic-AI focused curriculum
                      right_tickCovers LangChain, LangGraph, CrewAI, AutoGen end-to-end
                      advantage_crossMany GenAI courses stop at prompt engineering
                      Multi-Agent Systems training
                      right_tickIncludes orchestration workflows using CrewAI + AutoGen
                      advantage_crossRarely included in beginner/intermediate GenAI programs
                      RAG pipeline implementation
                      right_tickHands-on Agentic RAG projects included
                      advantage_crossOften theoretical or limited demos only
                      Tool-using AI agents
                      right_tickCovers agents with external tool execution pipelines
                      advantage_crossUsually chatbot-only training
                      Observability (AgentOps)
                      right_tickIncludes LangSmith + LangFuse monitoring workflows
                      advantage_cross Most courses skip evaluation & monitoring entirely
                      Real-world agent projects
                      right_tickResume screener, finance assistant, research agent, chatbot
                      advantage_crossUsually 1–2 chatbot demos only
                      Instructor-led live classes
                      right_tickWeekend cohort-based learning format
                      advantage_crossMostly recorded/self-paced learning
                      Portfolio-ready assignments
                      right_tickMultiple guided real-world builds included
                      advantage_crossLimited structured portfolio support
                      Career transition readiness
                      right_tickStructured roadmap toward Agent Engineer role
                      advantage_crossMany courses remain research-oriented
                      Edureka Advantage
                      What others offer
                      right_tickCovers LangChain, LangGraph, CrewAI, AutoGen end-to-end
                      advantage_crossMany GenAI courses stop at prompt engineering
                      right_tickIncludes orchestration workflows using CrewAI + AutoGen
                      advantage_crossRarely included in beginner/intermediate GenAI programs
                      right_tickHands-on Agentic RAG projects included
                      advantage_crossOften theoretical or limited demos only
                      right_tickCovers agents with external tool execution pipelines
                      advantage_crossUsually chatbot-only training
                      right_tickIncludes LangSmith + LangFuse monitoring workflows
                      advantage_cross Most courses skip evaluation & monitoring entirely
                      right_tickResume screener, finance assistant, research agent, chatbot
                      advantage_crossUsually 1–2 chatbot demos only
                      right_tickWeekend cohort-based learning format
                      advantage_crossMostly recorded/self-paced learning
                      right_tickMultiple guided real-world builds included
                      advantage_crossLimited structured portfolio support
                      right_tickStructured roadmap toward Agent Engineer role
                      advantage_crossMany courses remain research-oriented

                      Frequently Asked Questions (FAQs)

                      What is Agentic AI?

                      Agentic AI refers to artificial intelligence systems that can autonomously make decisions, take actions, and pursue goals with minimal human intervention. Unlike traditional AI, which adheres to predetermined rules, agentic AI may dynamically adapt to new situations. It is widely utilized in robotics, virtual assistants, self-driving cars, and sophisticated decision-making processes.

                      Why learn Agentic AI?

                      Learning Agentic AI is essential for:

                      • Enables smart, adaptive autonomous systems

                      • Advances in robotics and automation

                      • Creates AI career opportunities

                      • Raises awareness of AI ethics and safety

                      • Prepares for the future of AI technology

                      What if I have questions after completing this online training?

                      You can reach out to Edureka’s support team for any queries, and you’ll have access to the community forums for ongoing help.

                      What would be my role as an agentic AI Engineer?

                      As an agentic AI Engineer, you'll be responsible for 

                      • Design AI agents that perceive, decide, and act to meet goals

                      • Use reinforcement learning, NLP, and planning techniques

                      • Build autonomous agents that adapt to change

                      What are the features of agentic AI?

                      The key features of agentic AI are:

                      • Autonomy: Operates independently with minimal human intervention
                      • Perception: Senses and understands its environment
                      • Decision-making: Makes intelligent choices based on data and goals
                      • Adaptability: Learns and adjusts to changing conditions
                      • Goal-oriented: Focuses actions on achieving specific objectives
                      • Learning: Uses techniques like reinforcement learning to improve over time
                      • Planning: Anticipates future states and strategizes accordingly

                      Is ChatGPT, Gemini, Claude, or Deepseek an example of agentic AI?

                      No, ChatGPT, Gemini, Claude, and Deepseek are not fully agentic AI on their own. They are large language models (LLMs) designed for generative AI tasks like text generation, summarization, and answering questions.


                      However, when integrated with agentic AI frameworks like LangChain, AutoGen, or CrewAI, these models can exhibit agent-like behavior by performing autonomous tasks, using tools, and making goal-driven decisions.


                      How does the agentic AI for Developer online course contribute to career advancement in the AI field?

                      The course enhances career advancement by 

                      • Enhance career advancement with specialized skills

                      • Boosts professional credibility

                      • Opens doors to high-demand AI roles

                      • Expands career prospects in AI

                      • Keeps professionals updated with AI advancements

                      • Certification is a key asset for standing out in a competitive field

                      • Supports long-term career growth

                      Can someone with minimal AI experience pursue the course and find related job opportunities?

                      Yes, individuals with minimal AI experience can pursue the agentic AI online training, especially if they have a basic understanding of AI concepts and programming fundamentals. Prior experience with Python, AI workflows, and cloud platforms can be beneficial. 

                      This certification helps professionals build expertise in AI agent development, autonomous systems, and multi-agent collaboration, unlocking career opportunities in roles such as LLM Engineer, Generative AI Engineer, AI Research scientists, and AI/ML practitioners. Having skills in emerging technologies like Autonomous AI Agents can further impact salary growth and job opportunities in this field.

                      Is it worth learning Agentic AI?

                      Yes, learning Agentic AI is likely worth it, as a rapidly growing field with significant potential to revolutionise how businesses operate by automating complex tasks, enabling autonomous decision-making, and facilitating seamless human-AI collaboration, it is regarded as a valuable skill for the future of work across a wide range of industries.

                      Why should you become an Agentic AI Engineer?

                      Becoming an agentic AI engineer is beneficial for the participant as it is transforming the business operations, enhancing productivity, and redefining innovation.

                      Is AI Agent Engineer a good Career Option?

                      Yes, becoming an AI Agent Engineer is a very promising career path due to the rapidly growing field of agentic AI, which is viewed as a significant technological advancement with enormous potential across industries, making it a high-demand area for skilled professionals with the ability to build and deploy autonomous AI systems.
                      Have more questions?
                      Course counsellors are available 24x7
                      For Career Assistance :