AI & ML Certification Course

This AI/ML course provides a hands-on understanding of building intelligent systems using Artificial Intelligence and Machine Learning techniques. It covers the fundamentals of data preprocessing, model training, and evaluation, along with advanced algorithms such as supervised and unsupervised learning, deep learning, and reinforcement learning. The course also explores the principles of data science, including feature engineering, model optimization, and the ethical implications of AI.

What will you learn

  • Installation
  • Functionalities [ CRUD ]
  • Sample project

  • Installation
  • Functionalities [ CRUD ]
  • Sample project

  • Installation
  • Graphs plotting (different types like bar, line, pychart and more. )
  • Real time visualization
  • Save image & Understand the trend

  • Linear Regression, Polynomial Regression, Support Vector Regression (SVR), Decision Tree Regression, Random Forest Regression

  • Logistic Regression, k-Nearest Neighbors (KNN), Support Vector Machines (SVM), Decision Tree Classifier, Random Forest Classifier, Naive Bayes, Gradient Boosting Algorithms

  • Bagging, Boosting, Stacking

  • What is NLP?
  • History and evolution of NLP
  • Applications: Chatbots, search engines, summarizers, etc.
  • Challenges in NLP (ambiguity, context, etc.)

  • Tokenization
  • Stopword removal
  • Lemmatization vs Stemming
  • Lowercasing, punctuation removal
  • Regex for cleaning text
  • Sentence segmentation

  • Bag of Words (BoW)
  • Term Frequency–Inverse Document Frequency (TF-IDF)
  • Word embeddings (Word2Vec, GloVe)
  • Document similarity using cosine similarity

  • Text classification using Naive Bayes, SVM, Logistic Regression
  • Sentiment analysis
  • Spam detection
  • News article categorization
  • Using scikit-learn pipelines for NLP

  • ANN
  • CNN
  • RNN

  • Mean
  • Median
  • Count
  • Sum
  • Std deviation
  • Percentile
  • Average
  • Outliers
  • Hyper parameter tuning

Frequently Asked Questions

    We have both online & offline training.

    Yes, you will get course completion certificate when course is completed.

    Foundational understanding of mathematics, Basic programming skills in Python would definitely help.

    Netbanking and UPI.

    We have industrial experts with professional experience.

    Machine Learning Engineer, Data Scientist, AI Research Scientist, NLP (Natural Language Processing) Specialist, AI Product Manager, Robotics Engineer and many more.

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Industry experts Mentored

Learning a technology with a professional who is well expertise in that to solve 80% of your needs

Hands on Project Based Experiences

We emphasize practical, hands-on training in all our programs, ensuring a more effective and engaging learning experience.

Flexible Timing

We started with over 2 trainers and have now grown to more than 100+, with our team continuing to expand. This allows us to offer flexible scheduling options for our learners.

Live interactive online learning

Our platform enables seamless interaction between instructors and learners, creating an immersive and effective online training environment.

Certification

Earn industry-recognized credentials with our rigorous certification courses, empowering your career advancement and professional growth.

Interview Preparation

Master the art of interviewing through personalized coaching, mock interviews, and strategic guidance, ensuring you stand out and secure your dream opportunity.

WHY CHOOSE US?

Take on any Challenge of the Digital World