Learn Artificial Intelligence training in Faridabad with a practical focus on agentic AI, generative AI, LangChain, LangGraph, OpenAI API, Hugging Face, Pinecone, FastAPI, Docker, and cloud deployment. You will build agent workflows, tool-using assistants, vector database solutions, and deployable AI projects step by step.
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
Upskilling Success
24,999₹
In 60 Days + Placement
Free Session
Get Job with our Guaranteed Placement Support Program
9 LPA • AI Engineer
9 LPA • AI Engineer
12 LPA • Data Engineer
16 LPA • Data Engineer
4.3 LPA • AI Engineer
8.45 LPA • Computer Vision Engineer
6.3 LPA • AI Engineer
8.2 LPA • AI Engineer
This Artificial Intelligence course in Faridabad is built for learners who want more than theory. Inventateq helps you turn course work into interview-ready projects, role-specific resumes, and practical confidence for AI, data, and analytics job openings.
Companies hiring for AI, analytics, automation, and machine learning roles in Faridabad and nearby NCR locations look for practical project experience. Pay grows as you move from assistant-level execution to agent design, deployment, and solution architecture.
Artificial Intelligence Average Salary by Experience
Companies hiring for AI, analytics, automation, and machine learning roles in Faridabad and nearby NCR locations look for practical project experience. Pay grows as you move from assistant-level execution to agent design, deployment, and solution architecture.
Artificial Intelligence Average Salary by Experience
4.7/5 Google Rating | 1,432+ Verified Reviews
4.7 / 5
By Google Reviews
4.7 / 5
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4.7 / 5
By Sulekha Courses
4.7 / 5
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Success Result: Our students are competing at global levels. Watch their placement journey here.
Data Engineering @ Accenture - 12 LPA
Junior Accountant @ Fortis - 8 LPA
SQL Developer @ Wipro - 10 LPA
Salesforce Administrator @ Deloitte - 15 LPA
RPA Developer @ IBM - 20 LPA
Tableau Developer @ Genpact - 20 LPA
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Angular Developer @ Capgemini - 15 LPA
Data Analyst @ Amazon - 25 LPA
Java Developer @ Oracle - 25 LPA
CATIA Design Engineer @ TATA Motors - 20 LPA
AWS Solutions Architect @ Accenture - 25 LPA
Python Developer @ Mphasis - 15 LPA
QA Engineer @ HCLTech - 15 LPA
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketer @ Google - 20 LPA
BTM Layout @ Inventateq - -
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
Data Engineering @ Accenture - 12 LPA
Junior Accountant @ Fortis - 8 LPA
SQL Developer @ Wipro - 10 LPA
Salesforce Administrator @ Deloitte - 15 LPA
RPA Developer @ IBM - 20 LPA
Tableau Developer @ Genpact - 20 LPA
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Angular Developer @ Capgemini - 15 LPA
Data Analyst @ Amazon - 25 LPA
Java Developer @ Oracle - 25 LPA
CATIA Design Engineer @ TATA Motors - 20 LPA
AWS Solutions Architect @ Accenture - 25 LPA
Python Developer @ Mphasis - 15 LPA
QA Engineer @ HCLTech - 15 LPA
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketer @ Google - 20 LPA
BTM Layout @ Inventateq - -
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
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GOOGLE RATING
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REVIEWS
4.7/5 · 1,432+ Verified Reviews
Inventateq teaches Artificial Intelligence in a practical way, using the same tools and workflow patterns covered in the syllabus. The course moves from core AI concepts to prompt engineering, tool calling, memory, multi-agent systems, evaluation, and deployment, so learners can work on real use cases instead of only reading concepts.
We stand apart through our commitment to:
Live online training is available for learners in Faridabad who want the same practical curriculum from home or work. Sessions stay interactive, with screen sharing, project demonstrations, and mentor support during exercises and assignments.
Students starting with AI who want a clear, practical path from basics to agents and deployment.
Developers and testers who want to move into AI, automation, or machine learning work.
Learners from data, analytics, or statistics backgrounds who want stronger AI project skills.
Motivated learners who can follow structured training and want a career shift into AI roles.
People who need weekend or flexible learning while building job-ready AI projects.
Duration: Structured in module-based weekly learning with project practice.
Mode: Offline classroom and live online options available.
Learning style: Theory plus practical lab work, assignments, and projects.
Support: Mentor guidance during classes and project sessions.
No prior AI experience is required to begin this course.
Rated 4.9/5
Inventateq keeps AI training practical and job-focused. The course is taught around the real tools and use cases in the syllabus, so learners build confidence through projects, not just lectures.
By the end of the course, learners can work with AI frameworks, build agent workflows, and deploy practical applications. The training is designed to leave you with project experience you can discuss in interviews.
You will learn how to create agents that reason, call tools, manage memory, and complete tasks across steps. This includes research workflows, multi-agent coordination, and production-style AI services.
The course covers LangChain, LangGraph, AutoGen, and CrewAI so you understand how modern AI systems are structured. You will also see how these tools fit into different project styles and deployment paths.
Training includes OpenAI API, Hugging Face, vector databases, Pinecone, and LangChain-based applications. That gives you practical experience with the stack commonly used in AI product work.
You will learn how agents manage short-term context, long-term memory, and retrieval-based workflows. This is important for building assistants that can stay useful over longer tasks.
The syllabus includes FastAPI, Docker, AsyncIO, and cloud deployment workflows. That means you do not stop at prototypes — you learn how to make AI solutions usable.
Assignments, projects, and mentor feedback are shaped to support job preparation. You can use the work from class to explain your skills clearly for AI, data, and analytics interviews.
The certification confirms that you have completed practical training in agentic AI, generative AI, tools, memory, evaluation, and deployment. It helps show employers that you have learned a structured, project-based AI workflow instead of only studying theory.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Earn this certificate upon successful completion of our training program.
Validate your skills with recognized industry credentials.
Yes, beginners can join. The course starts with core AI concepts and moves gradually into prompting, tools, memory, frameworks, and deployment. You do not need prior experience with agents or advanced AI workflows to begin.
Yes, the syllabus includes multiple practical exercises and projects. You will work on a research agent, a data analyst agent, a generative AI project, and a chatbot deployment workflow. The course is designed around building, not just listening.
The course covers OpenAI API, LangChain, LangGraph, Hugging Face, Pinecone, FastAPI, Docker, Playwright or Selenium, LangSmith, and Phoenix Arize concepts. It also includes vector databases, function calling, and cloud deployment basics. These tools are all part of the practical syllabus.
Yes, placement assistance is part of the training approach. You get resume support, interview practice, portfolio guidance, and career mentoring aligned to AI and data roles. The support is meant to make your training easier to present to employers.
Yes, non-technical learners can join if they are ready to follow a structured learning path. The course explains concepts step by step and builds from fundamentals toward practical workflows. You should be comfortable with regular practice and assignment work.
Yes, live online training is available. It covers the same syllabus and tools as the classroom option, with mentor guidance during sessions. This works well for learners who want flexibility while still doing practical projects.
The curriculum is organized into weekly modules across the full AI workflow, including generative AI, agentic AI, and deployment topics. The exact pace can vary by batch mode and learning schedule. You can ask for the current batch plan when you contact Inventateq.
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