(500) Ratings
Our instructors bring years of real-world experience to the classroom, offering insights into the latest industry trends, tools, and technologies.
Get lifetime access to our LMS with recorded sessions, mock tests, real-world projects, study materials, and eBooks. Learn anytime, anywhere with all resources at your fingertips to support your Data Analytics journey.
Gain hands-on experience with 10+ real-time projects across beginner to advanced levels. These industry-standard projects mirror real job scenarios, helping you build practical skills and confidently face interviews.
Beyond technical training, we prepare you for the job market with expert-led sessions on communication, soft skills, resume building, mock tests, and interviews—making you fully interview-ready.
Get 100% placement assistance with top IT companies and access internship opportunities with recognized certification. Receive ongoing job support to grow confidently in your new data analytics role.
Choose flexible online or offline learning options. Get personalized guidance from expert mentors who help you tackle real-time challenges and stay on track to achieve your career goals.
9Globes offers the best AI course in Bangalore, covering Machine Learning, Deep Learning, NLP, and Computer Vision from basic to advanced levels. With real-time projects, this course helps you develop AI models, automate tasks, and build intelligent systems. We provide 100% practical training, covering key topics like Neural Networks, Data Processing, AI Algorithms, and Model Deployment. Our expert trainers ensure hands-on learning with real-world case studies. This job-oriented AI training in Bangalore prepares you for top Artificial Intelligence, Data Science, and AI Engineering roles. With mock tests, interview preparation, and placement assistance, you’ll be industry-ready. Join 9Globes, the best institute for Artificial Intelligence in Bangalore, and kickstart your career with AI training that guarantees placement!
Detailed modules covering basics to advanced skills.
Basic Concepts of Machine Learning and AI
Introduction to Machine Learning (ML) and Artificial Intelligence (AI)
Real-World Applications of ML and AI
Basic Programming Concepts
Natural Language Processing (NLP) Libraries - SpaCy & Gensim
Introduction to OpenCV, TensorFlow, and Keras
Basic Statistics
Sampling & Sampling Statistics
Inferential Statistics: Hypothesis Testing
Calculus
Derivatives and Optimization
Linear Algebra
Functions and Matrices
Scalar, Vector, and Matrix Operations
Probability and Probability Spaces
Probability Distributions
Unsupervised Learning
K-Means & Hierarchical Clustering
Linear Regression
Logistic Regression
Evaluation Metrics
Train, Test & Validation Distribution
Supervised Learning
Gradient Descent
Decision Tree & K-Nearest Neighbors (KNN)
Random Forest, Bagging & Boosting
Introduction to Deep Learning
Deep Learning: Strengths & Limitations
Single Perceptron (SP) & Multi-Layer Perceptron (MLP)
Feed Forward & Backward Propagation
Overview of Neural Networks
Neural Network Representation
Activation Functions
Loss Functions
Importance of Non-Linear Activation Functions
Gradient Descent for Neural Networks
Practical Aspects of Deep Learning
Train, Test & Validation Sets
Vanishing & Exploding Gradient Problem
Dropout Regularization
Regularization Techniques
Optimization Strategies
Bias Correction in Deep Learning
RMS Prop Algorithm
Adam, AdaGrad & AdaBoost Optimizers
Learning Rate and Its Impact
Hyperparameter Tuning
Softmax Activation Function
Image Preprocessing
Introduction to Computer Vision
Image Transformation, Filters & Noise Removal
Edge Detection, Non-Max Suppression & Hysteresis
Advanced CNN Concepts - Part 1
Object Detection: Bounding Boxes & Object Detection Models
Landmark Detection, RCNN, Fast RCNN, Faster RCNN
Mask RCNN, YOLO Pre-trained Models & Transfer Learning
Segmentation Concepts
Advanced CNN Concepts - Part 2
Advanced CNN Applications: Face Detection & Recognition
Techniques in Face Recognition & Style Transfer
Speech Processing
Introduction to Speech Processing & Automated Speech Recognition (ASR)
Speech Synthesis
Text-to-Speech Conversion
Voice Assistant Devices
Building Alexa Skills
Autoencoders & Decoders
Basics of Autoencoders & Different Types
Applications of Autoencoders with Examples
Variational Autoencoders & Introduction to Generative AI
Generative Adversarial Networks (GANs)
GAN Basics & Foundations
Upsampling & GAN Models
Evaluating GAN Models (Inception Score, Frechet Inception Distance, GAN Loss Functions)
Different Types of GANs
Conditional GAN, Info GAN, Auxiliary GAN, etc.
GAN Use Cases
Image Translation Applications & Cycle GAN Concepts
Implementation of Cycle GAN
Basic NLP Concepts & Models
Introduction to Text Mining & Vector Space Model (VSM)
Word Embeddings Applications
RNN, GRU, LSTM Models
Introduction to Transformers & Attention Mechanism
Attention-based Models (ELMo, BERT, T5)
Text Mining & NLP Applications
Web Scraping for NLP
Word Clouds & Document Similarity using Cosine Similarity
Named Entity Recognition (NER)
Machine Translation using Hugging Face Libraries
Emotion Mining using Different Libraries
Naive Bayes for Text Classification
Frequentist vs Bayesian Approaches
Apriori & Posterior Distributions
Bayesian Estimators: Posterior Mean & Posterior Median
Advanced NLP Models & Generative AI using LLMs
Introduction to Transformers & Attention Mechanisms
Single-Head vs Multi-Head Attention
Pretrained Models (GPT, BERT, BART, T5) & Applications
Examples using Python
Transformer Encoder Models: BERT, RoBERTa, DistilBERT
Transformer Decoder Models: GPT, GPT-2, GPT Variants
GPT Progress & OpenAI API Integrations
Exploring LLM Playgrounds
Transformer Sequence-to-Sequence Models: BART, T5
Data Analyst at Xtivia — 12 LPA
Fullstack Developer at Ethon Health Care Solutions — 8 LPA
at Cognizant Technology Solutions — 10.5 LPA
Data Engineer at Birlasoft — 6 LPA
Python Developer at Cognizant — 10 LPA
Data Analyst at V2Soft Systems — 5 LPA
Data Scientist at Redington Limited — 15 LPA
Associate Software Engineer at TCS — 5.5 LPA
Business Analyst at HCL — 7 LPA
AI Engineer at Atos Global IT Solutions — 11.5 LPA
ML Engineer at Aspire Systems — 9.3 LPA
Data Analyst at IBM — 6 LPA
Software Engineer at Cedge Technologies Ltd — 3.5 LPA
Gain hands-on experience building AI applications from scratch using Python and real datasets.
Technologies: Python, NLTK, if-else logic
Description: Build a simple chatbot that responds to user queries using pre-defined patterns.
Skills Covered: Text Tokenization, Pattern Matching, Conditional Logic, Basic NLP
Technologies: TensorFlow/Keras or PyTorch, OpenCV, NumPy
Description: Train a CNN to classify images from datasets like CIFAR-10 or MNIST.
Skills Covered: CNN Architecture, Image Preprocessing, Model Evaluation, Overfitting Control
Technologies: Python, NLTK/spaCy, sci-kit-learn
Description: Perform sentiment analysis on real-time tweets.
Skills Covered: Text Cleaning, TF-IDF, NLP Pipelines, Sentiment Classification
Technologies: OpenCV, dlib, face_recognition
Description: Create a system to recognize and verify faces.
Skills Covered: Face Detection, Feature Matching, Real-Time Application
Technologies: Python, SpeechRecognition, pyttsx3, GPT API (optional)
Description: Build a virtual assistant to perform tasks and talk back.
Skills Covered: Speech Recognition, NLU, TTS, API Integration
Technologies: Python, NLTK, if-else logic
Description: Build a simple chatbot that responds to user queries using pre-defined patterns.
Skills Covered: Text Tokenization, Pattern Matching, Conditional Logic, Basic NLP
Technologies: TensorFlow/Keras or PyTorch, OpenCV, NumPy
Description: Train a CNN to classify images from datasets like CIFAR-10 or MNIST.
Skills Covered: CNN Architecture, Image Preprocessing, Model Evaluation, Overfitting Control
Technologies: Python, NLTK/spaCy, sci-kit-learn
Description: Perform sentiment analysis on real-time tweets.
Skills Covered: Text Cleaning, TF-IDF, NLP Pipelines, Sentiment Classification
Technologies: OpenCV, dlib, face_recognition
Description: Create a system to recognize and verify faces.
Skills Covered: Face Detection, Feature Matching, Real-Time Application
Technologies: Python, SpeechRecognition, pyttsx3, GPT API (optional)
Description: Build a virtual assistant to perform tasks and talk back.
Skills Covered: Speech Recognition, NLU, TTS, API Integration
Our training is based on latest cutting-edge infrastructure technology which makes you ready for the industry. This certificate will be awarded to students or employee trainees upon successful completion of the course, serving as both encouragement and a valuable addition to their resume, opening doors to numerous career opportunities.
The AI course at 9Globes introduces you to the fundamentals of Artificial Intelligence, including machine learning, neural networks, deep learning, and more. It’s designed to help you become proficient in building intelligent systems.
This course is perfect for:
Yes! You’ll work on real-world AI projects such as building recommendation systems, image recognition, and chatbot development.
Yes, 9Globes provides placement assistance, including:
No problem! All classes are recorded, and you can access the recorded sessions to catch up.
Please get in touch with our branch counsellor for the most accurate and current fee details.
Yes! We offer EMI options for easy and flexible payment plans.
You can enroll easily by:
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At 9Globes Technologies, life is colourful, vibrant, and full of creative energy. We don’t just train students — we nurture future professionals. From day one, we treat our learners like corporate employees, introduce real-time work ethics, industry values, and professional discipline.
Student
Comprehensive Java Fullstack Course: The Java Fullstack course at 9Globes Technologies is extremely well-structured. It covers everything from Java fundamentals to advanced frameworks like Spring Boot, Hibernate, and Angular. I feel confident about my career as a full-stack developer now.
Student
Great Support from Trainers: The trainers at 9Globes Technologies are highly experienced and supportive. They clarified my doubts and helped me understand complex topics in a simplified manner.
Student
The institute provides a well-structured and in-depth curriculum that covers all essential aspects of the subject.The learning experience has been extremely valuable and has given me a solid understanding of the topic.
Student
9Globes Technologies is great place to start or re-start learning. It provides a complete ecosystem for intricate learning and growth. The trainers were incredibly supportive, offering detailed feedback on assignments and guiding through complex projects. The workshops and guest lectures helped in nurturing subject learnt.
Student
Great learning experience! The Data Analytics course includes practical training with real-world datasets. The institute provides excellent infrastructure and mentorship. Placement support is truly commendable!
Student
9Globes Technologies' Data Science course exceeded my expectations. The interactive sessions, doubt-solving classes, and hands-on exercises made it an excellent learning experience.
Student
The Data Analytics training at 9Globes Technologies helped me transition into a data-driven role. The real-time projects and expert guidance made a big difference.
Student
During my visit to this place, I had a wonderful experience. The atmosphere was lively, and the staff were friendly. The curriculum was well-structured, and I felt supported throughout my learning journey.
Stay ahead in a rapidly changing world by mastering cutting-edge technologies. At 9Globes Technologies, we offer expert-led programs across diverse domains to equip you with the skills that truly matter. Learn from the best, stay relevant, and accelerate your career growth.
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