Online Live Training
Practical labs & model-building walkthroughs.
Object Detection / Image Classification
Train a CNN to identify real-world objects.
Artificial Intelligence
Artificial Intelligence Training & Placement Program
Master AI concepts, neural networks, deep learning, and real-world AI applications to build intelligent systems and predictive solutions.
Beginner to Advanced AI Learning Path
3,900+ Students Trained
Artificial Intelligence focuses on building systems that can learn, reason, and make decisions like humans. This program trains you in Python for AI, Machine Learning Algorithms, Neural Networks, Deep Learning (TensorFlow/Keras), Model Training, Feature Engineering, and AI Deployment Techniques. You will work on real datasets such as computer vision, NLP, and predictive models.
Coding taught from basics
Includes Python + ML + Deep Learning + Project Deployment
100%
Practical Training
2 Real-Time
Project Simulations
40+
Hands-On Assignments
Lifetime
Access to Learning Resources
What You Will Learn in Artificial Intelligence
A complete path from data preprocessing to neural network-based predictive modeling.
Python & Data Foundations
1.5 Weeks
Python Essentials
Pandas & NumPy
Working with Data from CSV, Excel, APIs
Machine Learning Foundations
2 Weeks
Regression & Classification Models
Model Evaluation & Metrics
Overfitting, Regularization & Tuning
Feature Engineering Techniques
Neural Networks & Deep Learning (TensorFlow/Keras)
2–2.5 Weeks
Artificial Neural Networks
Activation Functions
Backpropagation & Optimization
Building & Training Deep Learning Models
Computer Vision with CNNs
1.5 Weeks
Convolutional Neural Networks (CNNs)
Image Data Processing
Object Classification & Feature Extraction
Natural Language Processing (NLP)
1.5 Weeks
Text Preprocessing
Tokenization & Embeddings
Sentiment & Classification Models
Capstone AI Project + Deployment
1–2 Weeks
Train a Full AI Model
Evaluate, Tune & Optimize
Deploy to Web or Cloud
Prepare GitHub Portfolio + Interview Explanation
TRAINER PROFILE
Chief Mentor & Principal Software Architect
AI & Deep Learning Specialist | Senior Data Scientist
7+ Years in AI/ML, Computer Vision & NLP-based enterprise solutions.
Worked in HealthTech, FinTech, Retail Analytics & SaaS Product AI Systems.
Trained 3,900+ learners transitioning to AI roles.
Focus: Model interpretation + practical implementation + hiring-oriented preparation.
Speak with Mentor @ +91 9344259572
CURRICULUM BREAKDOWN
Machine Learning
- Supervised & Unsupervised ML
- Model Training & Tuning
Deep Learning
- Neural Networks
- CNNs, RNNs, LSTMs
- Transfer Learning
MODES OF TRAINING
Flexible learning formats to suit your schedule & goals
Classroom Training
Real-time hands-on lab environment.
One-to-One Mentoring
Personalized project building & progress tracking.
Corporate Upskilling
Team-level AI capability development.
CAREER PATHS
This course prepares you for core AI and Data Science-driven roles.
Artificial Intelligence Engineers.
Machine Learning Engineer systems.
Deep Learning Engineer
Data Scientist
RELEVANT TOOLS & TECHNOLOGIES
PROGRAM FEATURES
Comprehensive learning experience designed for career success
End-to-End Practical AI Training
Build models step-by-step with expert guidance and real-world practice.
Interview-Ready Project Portfolio
Showcase GitHub projects, case studies, and a polished resume walkthrough.
Built for Career Transitioners
Start from the basics and progress logically to advanced AI and ML concepts.
Lifetime Re-Learning Support
Revisit live sessions and updated resources anytime to refresh your knowledge.
ACCORDION INFORMATION
Top Skills
Top Skills You Will Learn
Top Skills You Will Learn
Python programming, model training, deep learning, CNN/NLP processing, optimization techniques, and AI deployment strategies.
Jobs
Job Opportunities
Job Opportunities
High-demand roles across IT product firms, R&D labs, cloud solution providers, healthcare AI, fintech, e-commerce, and analytics platforms.
Audience
Who Should Enroll
Who Should Enroll
Fresh graduates, IT professionals, analysts, engineers, science students, and non-IT aspirants looking to master future-ready AI and ML skills.
Eligibility
Eligibility Criteria
Eligibility Criteria
No prior Python or machine learning experience is required — everything is taught from the basics to advanced implementation.
PROJECTS YOU WILL WORK ON
Sentiment Analysis System (NLP)
IAnalyze customer feedback & automate rating prediction.
AI Capstone End-to-End Deployment
CFull workflow: Dataset → Model → Dashboard / Web Deployment.