Course Design By
Nasscom & Wipro
Gain knowledge of the basics of Agentic AI.
Learn AI agent architecture.
Develop intelligent AI agents.
Build AI agents that work autonomously.
Work with Large Language Models (LLMs).
Learn prompt engineering.
Build Retrieval-Augmented Generation (RAG) applications.
Design multi-agent systems.
Connect APIs with AI applications.
Integrate AI with business workflows.
Work with vector databases.
Deploy AI applications on cloud platforms.
Learn Agentic AI frameworks.
Understand AI reasoning.
Build autonomous AI systems.
Learn workflow automation.
AI memory management.
Build multi-agent workflows.
Work with vector databases.
Integrate APIs with AI applications.
Deploy AI applications on cloud platforms.
Gain hands-on experience through live projects.
Live instructor-led training.
Hands-on practical sessions.
Industry-focused curriculum.
Real-world AI projects.
Interactive lab sessions.
AI agent development practice.
Live assignments.
Latest AI tools and frameworks.
Interview preparation.
Resume building support.
Certification guidance.
Weekday and weekend batches.
Lifetime access to learning resources.
Placement assistance.
12th Pass Candidates.
College Students.
Graduates.
B.Tech Students.
BCA Students.
MCA Students.
B.Sc. (Computer Science/IT).
M.Tech Students.
M.Sc. (Computer Science/IT).
Software Developers.
Python Developers.
AI & ML Professionals.
Data Analysts.
Data Scientists.
Cloud Engineers.
DevOps Engineers.
Automation Engineers.
IT Professionals.
Working Professionals.
Career Changers.
Students.
Graduates.
Software Developers.
Python Developers.
AI Engineers.
Machine Learning Engineers.
Data Scientists.
Data Engineers.
Cloud Engineers.
Automation Engineers.
DevOps Engineers.
Business Analysts.
Technical Consultants.
Working Professionals.
Career Changers.
Intelligent Decision Making: With the help of AI agents, businesses can analyze data, comprehend objectives and make decisions based on data in real-time.
Workflow Automation: Agentic AI enables automation of mundane business tasks which usually take up substantial human efforts.
Customer Experience Improvement: AI agents are capable of offering quicker response times, personalized interactions, and continuous support thus improving customer experience.
Information Processing Efficiency: Agentic AI is able to process and analyze huge volumes of information in seconds thus allowing firms to make more effective decisions.
Execution of Multiple Tasks: Whereas conventional automation executes one task at a time, Agentic AI is capable of executing multiple tasks concurrently while remaining adaptable to varying business needs.
Agentic AI Developer.
AI Engineer.
Generative AI Engineer.
AI Application Developer.
LLM Engineer.
AI Automation Engineer.
Prompt Engineer.
Machine Learning Engineer.
AI Solutions Developer.
AI Integration Engineer.
AI Consultant.
Python AI Developer.
Python: Develop AI applications, automate processes and develop intelligent agents through Python programming.
OpenAI API: Use Large Language Models in AI applications for developing intelligent conversational agents.
LangChain: Develop AI processes by combining language models with APIs, databases, and other external tools.
LangGraph: Develop advanced multi-agent systems where multiple agents collaborate to solve business problems.
CrewAI: Understand how multiple AI agents communicate and collaborate to perform various business tasks.
AutoGen: Develop autonomous AI agents that can plan, reason and execute business workflows independently.
Pinecone: Perform semantic search, document retrieval and Retrieval-Augmented Generation (RAG) through vector databases.
ChromaDB: Create AI knowledge bases and conduct intelligent document searches through embeddings.
FastAPI: Create fast APIs that will help you incorporate AI models into your applications.
Docker: Package AI-based applications in containers for easier deployment in different settings.
GitHub: Manage AI-based project development with the help of version control.
Visual Studio Code (VS Code): Create, test, and manage Agentic AI apps in one of the most popular programming environments.
AI Customer Support Agent.
AI Resume Screening System.
AI Research Assistant.
AI Email Automation Agent.
AI Travel Planner.
AI Document Analysis Tool.
AI Knowledge Chatbot.
AI Workflow Automation System.
Multi-Agent Task Management Platform.
AI Personal Assistant.
Daily coding practice.
AI application development.
Live demonstrations.
Real business case studies.
Mini projects.
Industry capstone project.
Lab sessions.
Project reviews.
Doubt-clearing sessions.
Interview preparation.
Certification guidance.
Practice assessments.
Mock interviews.
Resume writing support.
LinkedIn profile optimization.
Career mentoring.
Freshers: 6 LPA to 12 LPA
1 to 3 Years Experience: 12 LPA to 20 LPA
Experienced Professionals: 20 LPA to 40 LPA+
Practical AI development skills.
Project portfolio.
Python programming knowledge.
Large Language Model (LLM) expertise.
Prompt engineering skills.
Agentic AI development experience.
Cloud computing knowledge.
Communication skills.
Professional certifications.
Experienced industry trainers.
Updated course curriculum.
Practical assignments.
Live AI projects.
Industry-oriented learning.
Flexible batch timings.
Weekday and weekend classes.
Online and classroom training.
Certification support.
Resume preparation.
Mock interview sessions.
Placement assistance.
Lifetime access to learning resources.
Modern lab facilities.
Personalized mentoring.
we train you to get hired.
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Course Design By
Nasscom & Wipro
Course Offered By
Croma Campus
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Yes. This Agentic AI Course in Bangalore begins with the basics and progresses towards advanced Agentic AI principles, thus making it ideal for beginners.
No. Previous knowledge of programming is an advantage but not a requirement.
Yes. There are several projects in this course.
Yes, you will get a certificate on completing the course along with certification preparation help and guidance.
Yes, flexible courses are there for working professionals.
Yes, you will be working on industry-level advanced tools like LangChain, LangGraph, CrewAI, AutoGen, Pinecone, ChromaDB, OpenAI APIs, FastAPI, Docker, GitHub, VS Code and much more.
Yes, placement help is provided by Croma Campus.
Projects like AI Customer Support Agent, AI Resume Screening System, AI Research Assistant, AI Workflow Automation System, AI Knowledge Chatbot, AI Email Automation Agent, and Multi-Agent Task Management Platform.
Students, Graduates, Software Developers, Python Developers, AI Professionals, Data Engineers, Cloud Engineers, DevOps Engineers, Automation Engineers, and Working Professionals.
Agentic AI Developer, AI Engineer, LLM Engineer, Prompt Engineer, AI Automation Engineer, AI Solutions Developer, AI Consultant, Generative AI Engineer, and AI Integration Engineer are some positions that you can apply for after completing your course.

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