Professional Course In Artificial Intelligence

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  • Batch Name

    PCAI
  • Course Start

    1-February-2025
  • Course duration

    180 Hours
  • Eligibility

    12th

PCAI - Professional Course in Artificial Intelligence

Do Artificial Intelligence Course with CITC – An ISO 9001:2015 certified organisation, associated with Microsoft, ICDL for International Computer courses, NIELIT, MSME & Google. 

About Course

Artificial Intelligence courses are designed to provide knowledge in various  topics in AI, including machine learning, deep learning, natural language processing, computer vision, robotics, and data analytics.
Artificial Intelligence is a unique career path that can lead you to success. AI itself will need development, maintenance and sales. Artificial Intelligence courses are therefore going to be a lifesaver in the future.

What You Will Learn?

You will learn the following skills:

  • Advanced Machine Learning
  • Deep Learning Architectures
  • Natural Language Processing (NLP)
  • Computer Vision
  • Reinforcement Learning
  • AI for Big Data
  • AI Ethics and Bias
  • AI Model Deployment and Optimization
  • Advanced AI Applications

Scope

Following are the few fields students can look at after pursuing this program but work experience and job profile are a must:

  • Product Manager 
  • AI Engineer
  • Big Data Engineer
  • Business Intelligence Developer
  • Data Scientist
  • Machine Learning Engineer
  • Research Scientist
  • AI Data Analyst

Module 1

Course Papers

  • Advanced AI Course Syllabus

Course Syllabus

  • Ensemble Learning (Bagging, Boosting, Stacking)
  • Feature Engineering Techniques
  • Hyperparameter Tuning (Grid Search, Random Search, Bayesian Optimization)
  • Convolutional Neural Networks (CNNs)
  • Recurrent Neural Networks (RNNs)
  • Long Short-Term Memory (LSTMs)
  • Transformers and Attention Mechanism
  • Text Processing and Tokenization
  • Word Embeddings (Word2Vec, GloVe, BERT)
  • Sentiment Analysis and Text Classification
  • Named Entity Recognition (NER) and Sequence Labeling
  • Image Classification and Object Detection
  • Image Segmentation and GANs
  • Face Recognition and Transfer Learning
  • OpenCV for Image Processing
  • Markov Decision Process (MDP)
  • Q-Learning and Deep Q Networks (DQN)
  • Policy Gradient Methods
  • Applications in Game AI and Robotics
  • Handling Large Datasets with AI
  • AI and Cloud Computing (Google Cloud AI, AWS AI)
  • Scalable AI with Apache Spark
  • Ethical AI Considerations
  • Bias in AI Models
  • Explainable AI (XAI)
  • Deploying AI Models with Flask and FastAPI
  • Optimization for Real-Time AI Systems
  • AI in Edge Computing
  • AI in Healthcare
  • AI in Finance (Fraud Detection, Trading Algorithms)
  • AI in Autonomous Systems (Self-driving Cars, Drones)
  • AI for Cybersecurity

Apply now in World class Institute to make the better career.