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6840+ Job Posting Available
Placements in Artificial Intelligence: 1,342

Artificial Intelligence Course in Vijayawada & Amaravati with Certification

Learn practical Artificial Intelligence training in Vijayawada & Amaravati with a focus on agentic AI, generative AI workflows, LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Hugging Face, Pinecone, and FastAPI. You will build working agents, structured tool-calling workflows, chatbot projects, and deployment-ready AI applications.

4.7/5 from 1,432 reviews
Learn agentic AI from the basics of LLMs to multi-agent systems.
Work with LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, and Hugging Face.
Build research agents, data analyst agents, and chatbot projects.
Cover memory, tools, guardrails, evaluation, and deployment.
Get certification guidance, resume help, and placement support in Vijayawada & Amaravati.
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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

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1 Hour Training Session

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Placement Assistance for Artificial Intelligence Professionals

Learning Artificial Intelligence is useful only when you can use it in projects, interviews, and real job tasks. Inventateq trains you on the workflow, tools, and role expectations so you can apply for AI and analytics openings in Vijayawada & Amaravati and beyond.

Our Signature Career Support:

  • Resume preparation focused on AI, agentic AI, and data project experience.
  • Mock interviews for roles like Data Analyst, AI Engineer, and Business Analyst.
  • Portfolio support with chatbot, agent, and deployment projects.
  • Career guidance on job roles that match your background and skill level.
  • Placement mentoring with interview readiness, communication, and role mapping.

Artificial Intelligence Salary Insights

Artificial Intelligence roles in Vijayawada & Amaravati are commonly hired across IT services, analytics teams, product support, operations, and digital transformation teams. Salary grows with project depth, tool knowledge, and the ability to build and deploy working AI systems.

Artificial Intelligence Average Salary by Experience

Why Students Choose Our Artificial Intelligence Course in Vijayawada & Amaravati?

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Success Result: Our students are competing at global levels. Watch their placement journey here.

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About Inventateq Artificial Intelligence Training Institute in Vijayawada & Amaravati

Inventateq keeps the training practical. The course is built around agentic AI, generative AI, tool use, memory, evaluation, multi-agent workflows, and deployment, so you learn how AI systems are actually put together and used.

We stand apart through our commitment to:

  • Learn AI through real modules, not just theory.
  • Build agents, chatbots, and deployment-ready projects.
  • Get guided support on tools like LangChain, LangGraph, OpenAI API, and Pinecone.
  • Work with mentors who explain workflows step by step.
  • Attend classes with placement guidance built into the training process.
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Live Online
Remote Learning

AI Online Live Classes

Live online Artificial Intelligence training for Vijayawada & Amaravati lets you join from home while still getting trainer-led sessions and project practice. The sessions are interactive, practical, and suitable for learners who want the same structure as classroom training with more 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

Freshers

Good for graduates who want practical AI skills and a clear path into analyst or AI-focused roles.

Working professionals

Useful for professionals who want to move into AI, automation, or data-driven roles.

Business analysts

Helps analysts learn agentic AI, tools, and workflow design for smarter solutions.

Developers

Fits developers who want to build AI apps, tool-connected agents, and deployment workflows.

Career changers

Suitable for learners from non-AI backgrounds who want structured, job-oriented training.

Quick Highlights of Inventateq Artificial Intelligence Course

Course Duration

  • Duration: 11 weeks plus buffer time

  • Mode: Offline classroom and live online

  • Format: Trainer-led practical sessions

  • Projects: Hands-on build and deployment work

No prior AI experience is required to start this course.

Artificial Intelligence Curriculum

1. Introduction to Agentic AI (Week 1)

W1
  • Trace the path from NLP to LLMs, chatbots, and agents.
  • Understand what agency means in AI systems.
  • Learn the core parts of an agent: brain, perception, and action.
  • Study the ReAct pattern with reasoning and action loops.
  • See common risks like hallucinations, cost, and latency.

2. Prompt Engineering for Agents (Week 2)

W2
  • Use system prompts for role-based behavior.
  • Practice Chain-of-Thought and Tree-of-Thoughts prompting.
  • Create structured outputs with JSON mode and function calling.
  • Compare XML tagging with JSON-style instructions.
  • Build a research agent that uses structured function calls to scrape a website.

3. Tools and Function Calling (Week 3)

W3
  • Define tools or functions with schemas.
  • Use parallel function calling where needed.
  • Choose the right tool based on the task.
  • Handle tool errors without breaking the workflow.
  • Connect the agent to external actions and services.

4. Memory Architectures (Week 4)

W4
  • Work with short-term context and long-term vector database memory.
  • Understand semantic memory for RAG-based agent flows.
  • Track episodic memory from past actions and outcomes.
  • Manage state across loops and longer workflows.
  • Use memory to make agents more stable and useful.

5. Agentic Frameworks (Week 5)

W5
  • Review LangChain, LangGraph, AutoGen, and CrewAI.
  • Compare chains, agents, and graph-based structures.
  • Understand why different frameworks suit different tasks.
  • Port a ReAct loop into LangGraph.
  • Learn how abstraction changes the way agent systems are built.

6. Planning and Complex Workflows (Week 6)

W6
  • Use plan-and-execute architecture for multi-step tasks.
  • Apply Reflexion for self-critique and iteration.
  • Learn LLMCompiler-style parallel execution ideas.
  • Handle dynamic workflows and compare them with DAGs.
  • Build agents that can plan before acting.

7. Multi-Agent Systems (Week 7)

W7
  • Understand why multiple specialized agents can work better than one general agent.
  • Study manager-worker, debate, and sequential handoff setups.
  • Learn communication protocols between agents.
  • Focus on AutoGen conversable agents and CrewAI role-based systems.
  • Design collaborative workflows for larger tasks.

8. Human-in-the-Loop and Guardrails (Week 8)

W8
  • Use breakpoints and interrupts to stop unsafe actions.
  • Add approval workflows before destructive steps.
  • Apply input and output guardrails with NeMo Guardrails and Guardrails AI.
  • Control token spend and loop counts with budget management.
  • Keep autonomous systems safe and reviewable.

9. Evaluation and Observability (Week 9)

W9
  • Understand why agent evaluation is difficult because results can vary.
  • Compare trajectory evaluation and final outcome evaluation.
  • Use LangSmith and Phoenix Arize for evaluation and tracing.
  • Inspect latency, token usage, and failure points.
  • Learn how to debug agent failures in a graph.

10. Advanced Architectures (Week 10)

W10
  • Study BabyAGI and AutoGPT-style autonomous patterns.
  • Use code-as-action where the agent writes and runs Python in a sandbox.
  • Look at multimodal agents that work with vision and audio.
  • Build web navigation agents using Playwright or Selenium.
  • Create a data analyst agent that reads CSV data, runs Python, and generates visualizations.

11. Production Deployment (Week 11)

W11
  • Compare streaming and blocking responses.
  • Use AsyncIO for asynchronous agents.
  • Containerize agent sandboxes with Docker.
  • Scale agents horizontally when traffic grows.
  • Deploy a multi-agent service with a FastAPI wrapper on a cloud platform like Render or AWS.

12. Generative AI Foundations and Projects (Week 12)

W12
  • Start with the introduction to generative AI.
  • Work with OpenAI API and LangChain basics.
  • Use Hugging Face API and LangChain applications.
  • Learn memory in LangChain and build a generative AI project.
  • Deploy the project, use vector databases and Pinecone, and complete an end-to-end medical chatbot build and deployment.

Rated 4.9/5

Why Inventateq for Artificial Intelligence Training in Vijayawada & Amaravati?

Inventateq focuses on job-relevant AI training that is easy to follow and practical to apply. You learn through modules, projects, and guided deployment work, so the course stays connected to real use cases.

Why Students Trust Inventateq Vijayawada & Amaravati

  • Trainers explain AI in a clear, step-by-step way.
  • Curriculum stays focused on current tools and workflows.
  • Students get support while building real projects.
  • The learning environment is practical and interactive.
  • Placement guidance is included as part of the training path.

Build Practical Artificial Intelligence Skills That Employers Can Use

This course gives you hands-on experience with agents, prompt design, tool use, memory, evaluation, and deployment. You finish with project work that shows you can build and explain real AI workflows.

Build Working AI Agents

Learn how to create agents that reason, act, call tools, and handle multi-step tasks. The syllabus moves from basic agent logic to planning, multi-agent collaboration, and production deployment.

Create Generative AI Projects

Work with OpenAI API, LangChain, Hugging Face, vector databases, and Pinecone to build useful applications. You also cover an end-to-end chatbot project and deployment flow.

Use Real Frameworks

Get practical exposure to LangChain, LangGraph, AutoGen, and CrewAI. This helps you understand how AI systems are structured in modern projects.

Handle Memory and RAG Workflows

Learn short-term and long-term memory, semantic retrieval, and state management. These are key for building agents that remember context and respond better.

Add Guardrails and Evaluation

Practice human-in-the-loop controls, approval workflows, budget limits, and tracing. You also learn how to evaluate agents and debug failures.

Deploy AI Applications

Move beyond local builds and learn deployment using Docker, FastAPI, async patterns, and cloud platforms. This prepares you to present a complete project in interviews.

Certification for Artificial Intelligence Training

The certification validates that you have completed structured training in agentic AI, generative AI, frameworks, memory, guardrails, evaluation, and deployment. It helps employers see that you trained on practical tools and not just theory.

LangChain, LangGraph, AutoGen, and CrewAI workflows

Earn this certificate upon successful completion of our training program.

OpenAI API, Hugging Face, and Pinecone project skills

Validate your skills with recognized industry credentials.

FastAPI, Docker, and cloud deployment basics

Earn this certificate upon successful completion of our training program.

Tool use, memory, and agent evaluation concepts

Validate your skills with recognized industry credentials.

Detailed Insights: Artificial Intelligence Training in Vijayawada & Amaravati

Students Frequently Asked Questions

Is this Artificial Intelligence course suitable for beginners?

Yes, the course starts with the basics of agents, LLMs, and how AI systems are structured. You do not need prior experience in agentic AI to begin. The training moves step by step so beginners can follow the workflow and build confidence.

Will I work on real projects in this course?

Yes, the syllabus includes hands-on work such as a research agent, a data analyst agent, a generative AI project, and chatbot deployment. These projects help you apply the tools instead of only reading about them. They also give you examples to discuss during interviews.

Does Inventateq provide placement assistance for Artificial Intelligence training in Vijayawada & Amaravati?

Yes, placement support is part of the course approach. You get help with resume preparation, mock interviews, portfolio presentation, and career guidance. The support is designed to help you apply for roles like Data Analyst, Business Analyst, and AI Engineer.

Can non-technical students join this course?

Yes, non-technical learners can join if they are ready to follow the training seriously. The course explains concepts clearly and connects them to practical tasks. As long as you are willing to practice, you can build a strong foundation.

Is online Artificial Intelligence training available for Vijayawada & Amaravati learners?

Yes, the course is available through live online sessions as well as offline classroom training. Online learners can join interactive classes, ask questions, and work through the same practical topics. This is useful if you want flexibility without losing trainer support.

How long is the Artificial Intelligence training program?

The course runs for 11 weeks, and the syllabus also includes buffer time for revision and project completion. This gives enough room to cover the modules properly and practice the tools. The pace is suitable for learners who want a structured, job-oriented format.

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