AI Engineer Vocational Training & Internship

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AI Engineer Vocational Training & Internship

Fee: ₹14,999 | Mode: Online + Mentor Driven + Skill Development Training + Resume enhancement Guidance by expert + networking through MetaTaaraka Community + Employability skills enhancement with opportunities.

Program Overview.

The AI Engineer Vocational Training Program is a fully mentor-driven, Industry exposure, Skills & hands-on Experience Development program designed for B.Tech, M.Tech, MCA, BCA students. Unlike conventional courses that focus only on theory, this program is built around real-world AI projects, giving students practical, industry-ready skills.

Students will:

Learn, Build & Execute 15 industry-aligned AI projects in domains like Healthcare, Finance, Retail, Cybersecurity, Manufacturing, and HR Tech.
Gain weekly mentor guidance for project execution, problem-solving, knowledge sharing session and skill enhancement.
Follow a 6-week/8-week structured schedule for efficient learning.
Develop career-focused skills and prepare for future roles in AI & IT.
Access lifetime learning resources including projects and recorded sessions.
An expert-led resume enhancement session to improve resume preparation skills
Track their progress with assessments after each project to monitor improvements.
Parallelly, Get an opportunity to enroll into the AICTE-approved AI Engineer Internship (4 months).

Core Philosophy: “Learn by Doing” – Students actively build, execute, and optimize AI solutions for real-world problems, gaining skills exactly as industry professionals do.

Why Choose This Program?

Mentor-Driven Learning:
Personalized guidance from AI experts ensures students never feel stuck. Weekly sessions allow doubt-solving, knowledge sharing, and professional mentoring.
Hands-On Projects (“Learn by Doing”):
Students work on real-world AI problems, not just exercises. This builds confidence, execution skills, and portfolio-ready projects.
Career-Focused Skills Development:
Every project and session is designed to equip students with the technical and professional skills required to excel in AI and IT careers.
Student Progress Tracking:
Continuous assessments after each project allow mentors and students to monitor improvement, identify skill gaps, and ensure mastery.
Networking Opportunities:
Access to MetaTaaraka community of AI professionals, mentors, and peer learners helps students build connections for future opportunities.
Resume Enhancement & Placement Readiness:
Expert-led session teach students how to present AI projects effectively, strengthening resumes and portfolios for placements and internships.
Lifetime Access to Learning Resources:
Students can revisit recorded sessions and projects anytime, ensuring continuous learning and skill reinforcement.
Pathway to AICTE-Approved Internship:
Students can enroll in the 4-month AICTE Approved – AI Engineer Internship, further enhancing their industry exposure and career prospects.

Program Structure & Modules

This program covers end-to-end AI skills through 15 fully hands-on – Industry oriented Real world AI Based projects.

Each project comes with:

Overview & Objectives: Understand what the project aims to solve.
Approach & Algorithm: Step-by-step guidance on methods used.
Flowchart & Implementation: Clear roadmap of execution.
Line-by-Line Code Explanation: Detailed understanding of AI implementation.
Environment Setup: Stepwise instructions for required tools & libraries.
Expected Outputs: Clear deliverables for each project.
Further Enhancement Tasks: Additional challenges to build creativity & deeper understanding.

Key Modules Include:

Python for AI Engineering: Python essentials, NumPy, Pandas, Matplotlib, Data Preprocessing.
Machine Learning Fundamentals: Regression, Classification, Clustering, Feature Engineering, Model Evaluation.
Deep Learning & Neural Networks: TensorFlow, Keras, PyTorch; CNNs, RNNs, LSTMs.
Computer Vision: Image Processing, Object Detection, Face Recognition, Image Classification.
Natural Language Processing (NLP): Chatbots, Sentiment Analysis, Document Summarization, Language Models.
AI Model Optimization & Deployment: Hyperparameter Tuning, Model Evaluation, Flask/FastAPI Deployment, Cloud (AWS/GCP/Azure) Integration.
Industry-Level Project Execution: Projects across Healthcare, Finance, Retail, Cybersecurity, Manufacturing, HR Tech, and Automotive.

6-Week Mentor-Driven “Learn by Doing” Schedule

Week	Focus Area	Projects & Activities	Mentor Support
1	Python & Data Handling	Projects 1–3: Python, NumPy, Pandas, Matplotlib, Data Preprocessing	Guidance, weekly knowledge-sharing session, project review
2	Machine Learning	Projects 4–6: Regression, Classification, Clustering, Feature Engineering	Mentor support, progress assessment, concept reinforcement
3	Deep Learning	Projects 7–9: CNNs, RNNs, LSTMs	Mentor-led guidance, weekly knowledge sharing, skill improvement tracking
4	Computer Vision	Projects 10–11: Image Processing, Object Detection, Face Recognition	Support with CV pipelines and practical execution; assessment feedback
5	NLP & AI Applications	Projects 12–13: Chatbots, Sentiment Analysis, Document Summarization	Mentor guidance for NLP workflow, progress tracking, enhancement tasks
6	AI Deployment & Portfolio Completion	Projects 14–15: Deploy AI Models on Cloud, Portfolio Finalization	Resume workshop, networking, mentor-led wrap-up, final assessment

Learning Outcomes:

After completing this program, students will be able to:

Execute 15 real-world AI projects independently.
Develop industry-ready skills in Machine Learning, Deep Learning, Computer Vision, NLP, and Deployment.
Build a strong portfolio for resumes and interviews.
Track personal progress and improvements through project assessments.
Gain career insights, mentorship, and networking opportunities.
Access all projects and recorded sessions for lifetime learning.
parallelly enroll in the AICTE-approved AI Engineer Internship for further industry exposure.

Eligibility

B.Tech, M.Tech, MCA, BCA students of 4th or 6th semester (India wide universities requirement includes Chhattisgarh Swamy Vivekanand Technical University(CSVTU), VTU,JNTU, Central Universities, IITs, NITs, Private Universities, Deemed Universities)
Branches: CSE, IT, ECE(Interested in AI &IT), EEE(Interested in AI &IT), Mechanical(Interested in AI &IT), Civil(Interested in AI &IT), or other AI-interested disciplines.

Program Fee:

₹14,999 per student – One Time.

Inclusions:

6-week mentor-driven training on 15 projects with industry exposure skill development.
Weekly knowledge-sharing sessions with mentors
Student improvement tracking through assessments
Lifetime access to all projects & recorded sessions
Expert-led resume enhancement session
Networking support through our AI & IT community
Verified certificate and project portfolio
Opportunity to enroll into AICTE-approved AI Engineer Internship

Enroll today & Start your Industry training

1. Programming & Data Handling
Python for AI: Basics and essentials of Python.
Libraries: NumPy, Pandas, Matplotlib.
Data Preprocessing: Cleaning, organizing, and preparing data for AI projects.
Visualization: Representing data visually to understand patterns and trends.
2. Machine Learning (ML)
Supervised Learning: Regression and Classification models.
Unsupervised Learning: Clustering techniques.
Feature Engineering: Selecting and transforming data features for better model performance.
Model Evaluation: Techniques to measure accuracy and performance of models.
3. Deep Learning (DL)
Neural Networks: Building and training neural networks.
Frameworks: TensorFlow, Keras, PyTorch.
Advanced Networks: CNNs (Computer Vision), RNNs & LSTMs (Sequence Data).
4. Computer Vision (CV)
Image Processing: Manipulating images for analysis.
Object Detection & Recognition: Detecting objects and faces in images/videos.
Image Classification: Categorizing images into different classes.
5. Natural Language Processing (NLP)
Text Analysis: Sentiment analysis, document summarization.
Chatbots: Creating conversational AI systems.
Language Models: Understanding and generating human-like text.
6. AI Model Deployment & Optimization
Hyperparameter Tuning: Improving model accuracy.
Deployment: Using Flask/FastAPI to deploy AI models.
Cloud Integration: Deploying models on AWS, GCP, or Azure.
7. Industry-Focused Project Experience
Hands-On Projects: 15 real-world AI projects across domains like Healthcare, Finance, Retail, Cybersecurity, Manufacturing, HR Tech, and Automotive.
End-to-End Execution: From problem understanding → algorithm design → implementation → deployment.
Portfolio Development: Build a ready-to-showcase project portfolio.
8. Professional & Career Skills
Resume & Portfolio Enhancement: Learn to present AI projects effectively.
Networking: Access to MetaTaaraka AI community for connections.
Assessments & Feedback: Track progress and identify skill gaps.
Internship Pathway: Opportunity to enroll in a 4-month AICTE-approved AI Engineer Internship.

Training Content

Introdcution

AI Engineer Vocational Training & Internship
How to Use – Instructions (Must Read)
AI-Based Customer Churn Prediction System
Assessment on AI-Based Customer Churn Prediction System
Smart AI-Powered Fraud Detection System
Assessment on Smart AI-Powered Fraud Detection System
House Price Prediction with Advanced ML Algorithms
Assessment on House Price Prediction with Advanced ML Algorithms
AI Resume Screener for Recruitment Automation
Assessment on AI Resume Screener for Recruitment Automation
Sentiment Analysis System for Social Media Monitoring
Assessment on Sentiment Analysis System for Social Media Monitoring
AI-Based Medical Diagnosis Support System
Assessment on AI-Based Medical Diagnosis Support System
Facial Recognition Attendance System
Assessment on Facial Recognition Attendance System
E-commerce Product Recommendation Engine
Assessment on E-commerce Product Recommendation Engine
Chatbot with NLP for Customer Support
Assessment on Chatbot with NLP for Customer Support
Fake News Classification System
Assessment on Fake News Classification System
Image Classification System Using CNN
Assessment on Image Classification System Using CNN
Stock Price Trend Prediction Using LSTMs
Assessment on Stock Price Trend Prediction Using LSTMs
AI-Based Road Lane Detection for Autonomous Driving
Assessment on AI-Based Road Lane Detection for Autonomous Driving
Email Spam Detection Using Machine Learning
Assessment on Email Spam Detection Using Machine Learning
Document Summarization System Using NLP
Assessment on Document Summarization System Using NLP

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