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Placements in Artificial Intelligence: 33,500
Artificial Intelligence Course in Lucknow with Certification
Learn Artificial Intelligence in Lucknow with a practical focus on agentic AI, prompt engineering, LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Hugging Face, Pinecone, and deployment tools like FastAPI and Docker. You will build working AI workflows, multi-agent systems, and deployment-ready projects, not just study theory.
4.9/5 from 20,322 reviews
Learn agentic AI, LLM workflows, and multi-agent design in Lucknow
Hands-on practice with OpenAI API, LangChain, LangGraph, AutoGen, and CrewAI
Build research, data analyst, and chatbot-style AI projects during training
Cover memory, tool calling, guardrails, evaluation, and deployment
Get certification support, resume help, and placement guidance for AI roles
Job Interview
Guarantee Program
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
Course Fee:₹24,999
Duration:60 Days
Mode:Classroom & Online
Free Session
1 Hour Training Session
Get Job with our Guaranteed Placement Support Program
Placement Assistance for Artificial Intelligence Careers in Lucknow
Learning Artificial Intelligence is only useful when it connects to real job work. Inventateq focuses on practical training, project work, and interview support so learners can move toward AI, analytics, and automation roles with a clear portfolio.
Our Signature Career Support:
Resume preparation built around your AI projects and tools
Mock interviews for AI, data, and analyst-oriented job roles
Portfolio guidance for agentic AI, chatbot, and deployment projects
Career mentoring for entry-level and lateral role transitions
Support for job search preparation and interview readiness
Artificial Intelligence Salary Insights in Lucknow
Companies hiring for AI and analytics roles in Lucknow usually come from IT services, product support, analytics, automation, and data-driven business teams. Pay grows with your ability to build working systems using LLMs, frameworks, tools, and deployment workflows.
Artificial Intelligence Average Salary by Experience
Artificial Intelligence Salary Insights in Lucknow
Companies hiring for AI and analytics roles in Lucknow usually come from IT services, product support, analytics, automation, and data-driven business teams. Pay grows with your ability to build working systems using LLMs, frameworks, tools, and deployment workflows.
Artificial Intelligence Average Salary by Experience
Why Students Choose Our Artificial Intelligence Course in Lucknow?
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About Inventateq Artificial Intelligence Training Institute in Lucknow
Inventateq teaches Artificial Intelligence through real modules, live practice, and project work. The syllabus covers agentic AI fundamentals, prompt engineering, tool calling, memory, frameworks, planning, guardrails, observability, advanced architectures, and production deployment, so learners see how the pieces fit together in a working system.
We stand apart through our commitment to:
Build AI agents, chatbots, and structured workflow apps with guided practice
Learn with frameworks and tools used in real AI development work
Get mentor support while working through labs, projects, and deployments
Cover both beginner foundations and advanced agentic AI topics step by step
Choose training that supports weekdays, weekends, online, and classroom learning
Live Online
Remote Learning
AI Online Live Classes
Live online classes from Lucknow follow the same practical structure as classroom training. You attend real-time sessions, practice during the class, and get the same project guidance, which works well for working professionals and students who need flexibility.
Live interactive classes with practical coding demonstrations
Recorded sessions available for revision and practice
Weekly assignments with mentor feedback and guidance
Real projects covering Generative AI, LLMs, and Agentic AI
Online career guidance and interview preparation support
Artificial Intelligence Training Program
Students
Students who want a practical start in Artificial Intelligence and need a structured learning path.
Fresh Graduates
Graduates who want job-oriented AI skills, project work, and interview preparation.
Working Professionals
Professionals moving from analytics, software, or support roles into AI development.
Data and Analytics Learners
Learners from data, BI, or automation backgrounds who want to work with LLM tools and agents.
Career Switchers
Anyone with basic digital comfort who wants to enter AI through guided, hands-on training.
Quick Highlights of Inventateq Artificial Intelligence Course in Lucknow
Course Duration
Duration: Structured training across multiple weeks with theory, practice, and project work.
Mode: Available through classroom and live online learning.
Schedule: Weekday and weekend options can suit different learner routines.
Learning Style: Concepts are taught with hands-on implementation, not only slides and notes.
No prior AI background is required to start this course.
Artificial Intelligence Course Curriculum in Lucknow
1. Introduction to Agentic AI (Week 1)
W1
•Understand how NLP moved into LLMs, chatbots, and agent systems.
•Define agency through autonomy, goal-driven behavior, and tool use.
•Learn the LLM’s role as the brain along with perception and action.
•Study the ReAct pattern and the risks of hallucination, cost, and latency.
2. Prompt Engineering for Agents (Week 2)
W2
•Use system prompts for role-based agent behavior.
•Practice Chain-of-Thought and Tree-of-Thoughts prompting.
•Work with structured output through JSON mode and function calling.
•Compare XML tagging with JSON instructions and build a research agent using structured calls.
3. Tools and Function Calling (Week 3)
W3
•Define tools and functions with schemas for agent use.
•Understand parallel function calling for multi-step tasks.
•Choose tools based on the task and manage selection logic.
•Handle tool errors in a controlled and graceful way.
4. Memory Architectures (Week 4)
W4
•Separate short-term context window memory from long-term memory.
•Use vector databases for semantic memory and retrieval.
•Store episodic memory for previous actions and outcomes.
•Manage state across loops in long-running agent workflows.
5. Agentic Frameworks (Week 5)
W5
•Review LangChain, LangGraph, AutoGen, and CrewAI.
•Compare chains, agents, and graphs as abstraction levels.
•Understand where each framework fits in a project.
•Port a ReAct loop into LangGraph as a hands-on exercise.
6. Planning and Complex Workflows (Week 6)
W6
•Study plan-and-execute architectures for multi-step tasks.
•Use Reflexion for self-critique and improvement.
•Learn LLMCompiler for optimized parallel execution.
•Work with dynamic workflows and compare them with DAG-based systems.
7. Multi-Agent Systems (Week 7)
W7
•Design systems with specialist agents working together.
•Compare hierarchical, peer-to-peer, and sequential handoff structures.
•Set communication protocols between agents.
•Use AutoGen and CrewAI concepts for role-based collaboration.
8. Human-in-the-Loop and Guardrails (Week 8)
W8
•Add breakpoints and interrupts to agent workflows.
•Use approval steps before destructive actions.
•Apply input and output guardrails for safer execution.
•Control budget, token use, and iteration limits.
9. Evaluation and Observability (Week 9)
W9
•Understand why evaluating agents is harder because of non-determinism.
•Compare trajectory evaluation with final outcome evaluation.
•Use LangSmith and Phoenix Arize concepts for tracing and analysis.
•Track latency, token usage, and failure points in a graph.
10. Advanced Architectures (Week 10)
W10
•Review BabyAGI and AutoGPT style autonomous patterns.
•Use code-as-action where agents write and run Python in a sandbox.
•Explore multimodal agents for vision and audio inputs.
•Build a data analyst agent that reads CSV data, writes code, and creates visualizations.
11. Production Deployment (Week 11)
W11
•Compare streaming and blocking responses in AI applications.
•Use AsyncIO for asynchronous agent behavior.
•Containerize agent sandboxes with Docker.
•Deploy multi-agent services through FastAPI and cloud platforms like Render or AWS.
12. Generative AI Foundations and Project Work (Week 12)
W12
•Introduce Generative AI concepts and OpenAI API usage.
•Work with LangChain, Hugging Face API, and memory features.
•Build a generative AI project and deploy it.
•Cover vector databases, Pinecone, open-source LLM models, and an end-to-end medical chatbot project with deployment.
Rated 4.9/5
Why Inventateq for Artificial Intelligence Training in Lucknow?
Inventateq keeps Artificial Intelligence training practical and structured. You move from core concepts into prompts, tools, memory, frameworks, deployment, and project work using the same topics listed in the syllabus.
Why Students Trust Inventateq Lucknow
Trainers explain AI concepts clearly and keep the sessions practical.
The curriculum follows current agentic AI and generative AI workflows.
Students get support while building projects, not only after the course ends.
The learning environment is focused, interactive, and easy to follow.
Training is aligned with job roles, placement readiness, and certification.
Build Practical Artificial Intelligence Skills for Real Career Use
Learners work on AI systems that connect prompts, tools, memory, evaluation, and deployment. By the end of the course, they understand how to move from an idea to a working AI workflow.
Build AI Agents
You learn how to design agents that can reason, act, call tools, and complete multi-step tasks using structured workflows.
Create Practical Projects
The course includes research agents, data analyst agents, and generative AI project work so you leave with examples to show.
Work with Real Frameworks
You practice with LangChain, LangGraph, AutoGen, and CrewAI instead of only reading about them.
Handle Memory and Retrieval
You understand context windows, vector databases, and RAG-style memory for longer workflows.
Add Safety and Control
You learn guardrails, human approval steps, and budget control so agents behave predictably.
Deploy AI Services
You get exposure to FastAPI, Docker, AsyncIO, and cloud deployment patterns for production use.
Certification for Artificial Intelligence Training
The certification shows that you have completed structured training in agentic AI, generative AI, and deployment-oriented project work. It helps employers see that you have practical exposure to the tools and workflows used in modern AI development.
Agentic AI workflows with LangChain, LangGraph, AutoGen, and CrewAI
Earn this certificate upon successful completion of our training program.
Generative AI project work using OpenAI API, Hugging Face, and memory systems
Validate your skills with recognized industry credentials.
Vector database and retrieval skills with Pinecone and RAG concepts
Earn this certificate upon successful completion of our training program.
Deployment exposure with FastAPI, Docker, and cloud-based AI services
Validate your skills with recognized industry credentials.
Detailed Insights: Artificial Intelligence Training in Lucknow
Students Frequently Asked Questions
Is this Artificial Intelligence course in Lucknow suitable for beginners?
Yes. The course begins with the basic evolution of NLP, LLMs, chatbots, and agents before moving into more advanced topics. That makes it suitable for learners who want a clear start instead of jumping directly into complex tools.
Will I get hands-on project experience?
Yes. The syllabus includes practical work such as a research agent, a data analyst agent, and generative AI project deployment. You also work with tools like LangChain, LangGraph, OpenAI API, Hugging Face, and Pinecone.
Does Inventateq provide placement assistance for Artificial Intelligence roles?
Yes. Placement support includes resume help, interview practice, portfolio guidance, and career mentoring. The support is aimed at roles like AI Intern, AI Developer, and AI Analyst.
Can non-technical students join this Artificial Intelligence training?
Yes, as long as they are willing to learn step by step. The training explains concepts clearly and uses practical examples, which helps learners from different backgrounds understand the workflow. You do not need prior AI job experience to start.
Is online training available for students in Lucknow?
Yes. Live online classes are available for learners in Lucknow who need flexibility. The online format still includes trainer interaction, practice sessions, and project guidance.
How long is the Artificial Intelligence course?
The syllabus is organized into multiple weeks plus project and deployment work. It covers the full path from introduction and prompting to advanced architectures and production deployment, so the duration is enough for structured learning and practice.
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