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2000+ Courses · 15+ Technology Domains
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AI
AI & Machine Learning — Course #401

Build the Future with

Artificial Intelligence 🤖

AI is the most transformative technology of our era — powering GPT-4, self-driving cars, healthcare diagnostics, and financial systems. Master machine learning, deep learning, NLP, computer vision, and reinforcement learning to build intelligent systems that reshape industries.

Machine Learning Deep Learning NLP Computer Vision Reinforcement Learning Neural Networks TensorFlow PyTorch Transformers Generative AI
Enroll Now Brochure
AI — Neural Network Training
import tensorflow as tf
from tensorflow import keras
model = keras.Sequential([
  keras.layers.Dense(128, activation='relu'),
  keras.layers.Dropout(0.2),
  keras.layers.Dense(64, activation='relu'),
  keras.layers.Dense(10, activation='softmax')
])
model.compile(optimizer='adam',
            loss='sparse_categorical_crossentropy',
            metrics=['accuracy'])
45K+
Jobs
AI roles in India
47 hrs
Duration
Video content
10
Modules
Full syllabus
Cert
Included
Industry recognised
24/7
Support
Expert guidance
Python
TensorFlow
PyTorch
Scikit-learn
Keras
Hugging Face
BERT
GPT-4
LLMs
Computer Vision
NLP
Reinforcement Learning
GANs
Autoencoders
OpenCV
Transformers
MLOps
AutoML
LangChain
Stable Diffusion
Python
TensorFlow
PyTorch
Scikit-learn
Keras
Hugging Face
BERT
GPT-4
LLMs
Computer Vision
NLP
Reinforcement Learning
GANs
Autoencoders
OpenCV
Transformers
MLOps
AutoML
LangChain
Stable Diffusion
What You Master

The Complete AI Skill Set

From ML algorithms and neural networks to NLP, computer vision, generative AI, and production deployment.

🤖
Machine Learning & Deep Learning

Master supervised, unsupervised, and reinforcement learning algorithms. Build neural networks from scratch — CNNs for vision, RNNs/LSTMs for sequences, Transformers for NLP. Use TensorFlow and PyTorch for training, evaluating, and optimizing production-grade AI models.

Supervised ML Neural Networks CNNs RNNs/LSTMs Transformers TensorFlow PyTorch Model Eval
💬
NLP & Generative AI

BERT, GPT, Transformers, sentiment analysis, chatbots, and LLMs. Build applications with cutting-edge GenAI.

👁️
Computer Vision

Object detection (YOLO), face recognition, image segmentation, and GANs using OpenCV and PyTorch.

🚀
AI Deployment & MLOps

Deploy AI models with Flask, FastAPI, and Streamlit. Cloud deployment on AWS, GCP, Azure. MLOps pipelines with CI/CD.

Flask/FastAPI AWS/GCP MLOps
Syllabus

Course Curriculum

10 comprehensive modules covering AI from fundamentals to real-world deployment.

  • What is AI? History and Evolution
  • Applications of AI in Various Industries
  • AI vs. Machine Learning vs. Deep Learning
  • AI Ethics and Responsible AI
  • AI Tools and Platforms Overview
  • State Space Representation
  • Uninformed Search — BFS, DFS
  • Informed Search — A*, Greedy Search
  • Constraint Satisfaction Problems (CSPs)
  • Adversarial Search — Minimax, Alpha-Beta Pruning
  • Supervised, Unsupervised, and Reinforcement Learning
  • Regression and Classification Algorithms
  • Decision Trees, Naïve Bayes, KNN
  • Model Evaluation Metrics — Accuracy, Precision, Recall, F1
  • Overfitting, Underfitting & Cross-Validation
  • Introduction to Neural Networks
  • Activation Functions, Loss Functions
  • Backpropagation and Gradient Descent
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs) & LSTMs
  • Deep Learning Frameworks — TensorFlow, PyTorch
  • Text Preprocessing — Tokenization, Stemming, Lemmatization
  • Word Embeddings — Word2Vec, GloVe, BERT
  • Named Entity Recognition (NER)
  • Sentiment Analysis
  • Chatbots and Large Language Models (LLMs)
  • Image Processing Basics with OpenCV
  • Feature Extraction and Object Detection
  • YOLO, SSD, and Faster R-CNN
  • Face Recognition & Emotion Detection
  • Generative Adversarial Networks (GANs)
  • Markov Decision Processes (MDPs)
  • Q-Learning & Deep Q Networks (DQN)
  • Policy Gradient Methods
  • Actor-Critic Methods
  • Applications in Robotics and Game AI
  • Introduction to Generative AI
  • Transformer Architecture — Attention Mechanism
  • GPT, BERT, and Foundation Models
  • Prompt Engineering & Fine-Tuning
  • Building Apps with Hugging Face & LangChain
  • Bias in AI and Fairness
  • Explainable AI (XAI)
  • AI Safety and Alignment
  • AI Regulations & Compliance
  • AI in the Future — AGI and ASI
  • End-to-End AI Project Workflow
  • Model Deployment with Flask & FastAPI
  • Cloud Deployment on AWS, GCP, Azure
  • MLOps — CI/CD for Machine Learning
  • Capstone Project — Build & Deploy an AI Application
Career Outcomes

AI Careers in 2026

AI is the #1 fastest-growing career field globally. Google, Microsoft, Amazon, Infosys, TCS, and thousands of startups are hiring AI professionals at record salaries. AI skills command a 40–60% premium over traditional software roles.

₹12–40L
India Avg LPA
$110K–$200K
USA Avg
45K+
Active AI Jobs
45% Growth
Year-on-Year
AI Engineer
Design and build AI systems, train models, and integrate them into production applications
₹12–35 LPA · $110K–$180K USA
Machine Learning Engineer
Develop and deploy ML pipelines, feature engineering, and model optimization at scale
₹14–40 LPA · $120K–$195K USA
Computer Vision Engineer
Build image recognition, object detection, and video analysis systems for real-world products
₹15–42 LPA · $125K–$200K USA
AI Research Scientist
Research cutting-edge AI architectures, publish papers, and advance state-of-the-art models
₹20–60 LPA · $150K–$300K USA
New Batch Starting Soon — Limited Seats

Ready to Build with AI?

Join the AI revolution. Build intelligent systems, secure top-tier roles, and become part of the most exciting technological transformation in human history.

Enroll Now Call Us WhatsApp
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