Agentic AI Engineer Vocational Training & Internship

Agentic AI Engineer Vocational Training & Internship

Mentor-Driven | 4 Month | Learn by Doing | Hands-On Experience | Industry Exposure
By MetaTaaraka™ AI Innovations Pvt. Ltd.

Fee: ₹24,999 (One Time)
Mode: Online + Mentor Driven + Skill Development Training + Resume Enhancement Guidance by Experts + Networking through MetaTaaraka Community + Employability Skills Enhancement with Opportunities

Program Overview

The Agentic AI Engineer Vocational Training Program is a fully mentor-driven, industry-oriented, hands-on skill development program designed for B.Tech, M.Tech, MCA, BCA students.

Unlike conventional AI programs that focus only on building models, this program trains students to design, build, and deploy autonomous AI agents capable of planning, reasoning, using tools, maintaining memory, and executing real-world workflows.

This program prepares students for emerging careers in Agentic AI, Generative AI, AI Automation, and Intelligent Systems Engineering.

Students Will:

• Learn, Build & Execute 6 industry-aligned Agentic AI projects

• Work on real-world autonomous AI systems used across HR, Finance, Healthcare, Customer Support, and Enterprise Automation

• Gain weekly mentor guidance for agent design, execution, debugging, and optimization

• Follow a structured 4 Month learning roadmap

• Develop career-focused Agentic AI skills

• Access lifetime learning resources, including projects and recorded sessions

• Attend expert-led resume & portfolio enhancement sessions

• Track progress through project-based assessments

• Get an opportunity to enroll into the AICTE-approved AI Engineer Internship (4 months)

 

Core Philosophy

“Build Autonomous AI Systems – Not Just Models”

Students actively design, implement, and deploy AI agents that can think, decide, and act in real-world environments—mirroring modern industry AI systems.

Why Choose This Program?

Mentor-Driven Learning

Personalized mentorship from AI & GenAI experts ensures students receive continuous guidance, architectural clarity, and professional direction.

Hands-On Agentic AI Projects

Students work on deep, end-to-end Agentic AI projects, gaining execution confidence and portfolio-quality outcomes.

Career-Focused Skill Development

Every module focuses on job-relevant Agentic AI skills, including reasoning, planning, orchestration, and deployment.

Student Progress Tracking

Project-wise assessments help identify learning gaps and ensure practical mastery.

Networking Opportunities

Access to the MetaTaaraka AI & IT Community enables peer collaboration and future career opportunities.

Resume & Placement Readiness

Expert-led sessions help students present Agentic AI projects effectively, strengthening resumes and interview readiness.

Lifetime Access to Learning Resources

Recorded sessions and project materials remain accessible for continuous upskilling.

Pathway to AICTE-Approved Internship

Eligible students can enroll in the 4-month AICTE Approved – AI Engineer Internship for extended industry exposure.

Program Structure & Modules

This program covers core Agentic AI engineering skills through 6 fully hands-on, industry-oriented, real-world Agentic AI projects.

Each project includes:

• Overview & Objectives

• Agent Architecture & Workflow Design

• Planning, Reasoning & Tool Integration

• Line-by-Line Code Explanation

• Environment Setup

• Expected Outputs

• Enhancement Tasks for deeper learning

Key Modules Include:

Foundations of Agentic AI

• Introduction to AI agents

• Autonomous decision-making systems

• LLMs as reasoning engines

Tool-Using AI Agents

• Function calling & APIs

• File, database, and web tools

• Workflow automation

Memory & Context Management

• Short-term & long-term memory

• Vector databases (FAISS / Chroma)

• Context-aware agents

Planning & Reasoning

• Task decomposition

• ReAct & Plan-and-Execute patterns

• Self-reflection loops

Multi-Agent Systems

• Role-based agents

• Agent communication & collaboration

• Planner–Executor architectures

Deployment & Industry Applications

• FastAPI deployment

• Cloud deployment basics (AWS / GCP / Azure – Intro)

• Guardrails, monitoring & cost control

4 Month Mentor-Driven “Learn by Doing” Schedule

Week	Focus Area	Projects & Activities	Mentor Support
1-2	Agentic AI Foundations	Project 1: Intro to AI Agents	Concept clarity, guidance
3-4	Tool-Using Agents	Project 2: Automation Agent	Execution & debugging support
5-6	Memory-Enabled Agents	Project 3: Context-aware Agent	Assessment & improvement
7-8	Planning & Reasoning	Project 4: Task Planning Agent	Knowledge sharing
8-9	Multi-Agent Systems	Project 5: Collaborative Agents	Architecture & review
10-11	Industry Use Case	Project 6: HR / Finance / Support Agent	Industry mapping
12-13	Deployment & Optimization	Deploy Agentic AI system	Deployment guidance
14-16	Portfolio & Career Prep	Resume, GitHub & capstone polish	Final evaluation

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Learning Outcomes

After completing this program, students will be able to:

• Design and build autonomous AI agents

• Develop single-agent & multi-agent systems

• Integrate LLMs with tools, APIs, and memory

• Deploy Agentic AI applications

• Build a strong Agentic AI project portfolio

• Gain mentorship, networking, and career clarity

• Access all projects and sessions for lifetime learning

• Enroll in the AICTE-approved AI Engineer Internship for further exposure

Eligibility

• B.Tech, M.Tech, MCA, BCA students (4th or 6th semester)

• Universities across India (CSVTU, VTU, JNTU, Central, IITs, NITs, Private & Deemed Universities)

• Branches:
  CSE, IT, ECE, EEE, Mechanical, Civil (Interest in AI & IT)

Program Fee

₹24,999 per student – One Time

Inclusions

16-week mentor-driven Agentic AI training

• 6 deep, industry-oriented Agentic AI projects

• Weekly mentor & knowledge-sharing sessions

• Continuous assessment & progress tracking

• Lifetime access to recordings & project materials

• Expert-led resume & portfolio enhancement

• Networking via MetaTaaraka AI Community

• Verified certificate & project portfolio

• Opportunity to enroll in AICTE-approved AI Engineer Internship

Projects List

Project 1: Task-Oriented AI Assistant

(Single-Agent Reasoning System)

Focus: Agentic AI foundations
What students build:
A single AI agent that understands user tasks, reasons step-by-step, and produces structured outputs.

Key Skills Gained:

• LLM as a reasoning engine

• Prompt design for agents

• Single-agent architecture

Project 2: Tool-Using Automation Agent

(Function Calling & Workflow Automation)

Focus: Tool integration
What students build:
An AI agent that uses external tools (APIs / files / databases) to complete tasks automatically.

Key Skills Gained:

• Tool invocation

• Function calling

• Automation workflows

• Error handling

 

Project 3: Memory-Enabled Contextual AI Agent

(Context Awareness & Personalization)

Focus: Memory in agents
What students build:
An AI agent that remembers past interactions and retrieves relevant context using a vector database.

Key Skills Gained:

• Short-term & long-term memory

• Vector databases (FAISS / Chroma)

• Retrieval-augmented agents

 

Project 4: Planning & Reasoning AI Agent

(Multi-Step Task Execution)

Focus: Planning logic
What students build:
An AI agent that breaks complex tasks into steps, executes them sequentially, and adjusts based on outcomes.

Key Skills Gained:

• Task decomposition

• ReAct / Plan-and-Execute patterns

• Self-reflection & retry logic

 

Project 5: Multi-Agent Collaboration System

(Role-Based Agent Architecture)

Focus: Multi-agent systems
What students build:
A system where multiple AI agents collaborate (Planner, Executor, Reviewer) to solve a problem.

Key Skills Gained:

• Multi-agent communication

• Role-based design

• Coordination & feedback loop

 

Project 6: Industry-Grade Deployed Agentic AI System (Capstone)

(End-to-End Real-World Application)

Focus: Industry application & deployment
What students build:
A fully deployed Agentic AI solution for a real industry use case.

Industry Options (choose one):

• HR Resume Screening Agent

• Customer Support Automation Agent

• Finance Analysis & Decision Agent

• Healthcare Assistant Agent

Key Skills Gained:

• End-to-end agent design

• Deployment using FastAPI

• Cloud basics

• Guardrails & cost optimization

Skill Progression Summary

Project	Core Agentic Skill
Project 1	Reasoning Agent
Project 2	Tool-Using Agent
Project 3	Memory-Enabled Agent
Project 4	Planning Agent
Project 5	Multi-Agent System
Project 6	Deployed Industry Agent

Enroll Today & Step into the Future of AI with Agentic AI Engineering