AI & Machine Learning Bootcamp Training

This comprehensive 6-month AI & Machine Learning course at NLT Education is designed for individuals aiming to build a strong foundation in artificial intelligence (AI) and machine learning (ML). The program covers the latest trends, tools, and technologies, ensuring that students are equipped with industry-relevant skills. Whether you’re starting as a beginner or seeking to advance your career, this course offers in-depth knowledge and hands-on experience in AI & ML, along with practical applications in real-world scenarios. With weekend live classes, access to industry experts, and placement support, this course ensures a well-rounded learning journey.

AI & ML Professional 6-Month Industry-Focused Program

Become a Certified AI & ML Professional: Industry-Focused 6-Month Program

Course Overview

This comprehensive 6-month AI & Machine Learning course at NLT Education is designed for individuals aiming to build a strong foundation in artificial intelligence (AI) and machine learning (ML). The program covers the latest trends, tools, and technologies, ensuring that students are equipped with industry-relevant skills. Whether you’re starting as a beginner or seeking to advance your career, this course offers in-depth knowledge and hands-on experience in AI & ML, along with practical applications in real-world scenarios. With weekend live classes, access to industry experts, and placement support, this course ensures a well-rounded learning journey.

Benefits

Saturday 06:00 pM - 10:00 PM
Sunday 06:00 PM - 10:00 PM

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Course Details:

Course Price:

INR 90000+GST

Instructor

Sherine Martina

Lesson Duration

28 Weeks

Lessons

220+ Learning Hours

Places for Students

10

Language:

English, Tamil

Certifications

Digital, Physical

Learning Path & Curriculum

  • Overview of AI and ML
  • AI & ML in today's world
  • History and evolution of AI
  • Types of AI (Narrow AI, General AI, and Super AI)
  • Machine Learning categories (Supervised, Unsupervised, and Reinforcement Learning)
  • Use cases across industries (Healthcare, Finance, Retail, etc.)

 

  • Introduction to Python programming
  • Python libraries for ML (NumPy, Pandas, Matplotlib, Seaborn)
  • Data manipulation and visualization
  • Exploratory Data Analysis (EDA)
  • Data cleaning and preprocessing

 

  • Linear Algebra and its role in ML
  • Probability theory
  • Descriptive and inferential statistics
  • Hypothesis testing
  • Bayesian learning
  • Gradient Descent and optimization

 

  • Linear Regression
  • Logistic Regression
  • Decision Trees and Random Forests
  • Support Vector Machines (SVM)
  • K-Nearest Neighbors (KNN)
  • Model evaluation and tuning (Cross-validation, Hyperparameter tuning)
  • Clustering techniques (K-Means, Hierarchical clustering, DBSCAN)
  • Principal Component Analysis (PCA)
  • Dimensionality reduction techniques
  • Association rules and anomaly detection
  • Real-world applications of unsupervised learning
  • Introduction to neural networks
  • Perceptron model and activation functions
  • Building neural networks with TensorFlow and Keras
  • Deep learning architectures (CNNs, RNNs)
  • Backpropagation and tuning neural networks
  • Transfer learning and pre-trained models

 

  • Introduction to NLP
  • Text preprocessing and feature extraction
  • Bag of Words, TF-IDF
  • NLP techniques (Word2Vec, GloVe)
  • Text classification and sentiment analysis
  • Introduction to ChatGPT and other generative AI models

 

  • Overview of reinforcement learning
  • Markov Decision Processes (MDPs)
  • Q-Learning and Deep Q-Networks (DQN)
  • Exploration vs. Exploitation dilemma
  • Practical applications of reinforcement learning (Robotics, Game AI)

 

  • Introduction to MLOps
  • Deploying machine learning models
  • Using Flask and Docker for deployment
  • Model monitoring and updating
  • Real-time model serving

 

  • Choose a real-world AI & ML project
  • Work in groups or individually
  • Complete project from data collection to model deployment
  • Project presentation and evaluation

Tools & Technologies covered

Python

TensorFlow, Keras, PyTorch, Scikit-learn, NumPy, Pandas, Matplotlib

Matplotlib, Seaborn

Flask, Docker

SQL, MongoDB, BigQuery

NLTK, SpaCy

AWS, Google Cloud, Microsoft Azure

Career outcome

Program Features & Fees Structure

Course Duration & Learning Hours

Program Duration

Weekend - Sat-Sun - 6 Months

220+ Hours Live Interactive classes

Course Duration & Learning Hours

Program Duration

Weekend - Sat-Sun  6 Months

220+ Hours Live Interactive classes

Program Fees

Standard Fee:

90000+GST

Scholarship up to 40%
Special Offer: Enrolled students will receive a free laptop

Program fees

 

Scholarship Upto 40%

Special Offer: Enrolled students will receive a free laptop

Career Support

Resume Building 
soft skill training with experts
1:1 interview 
Job assistance and mock interviews

Career Support

Resume Building 
soft skill training with experts
1:1 interview 
Job assistance and mock interviews

Program Highlights

Industry projects with 20+ Case studies
10x More employable with a good salary
3 Mock Interviews

10+ Live Projects
220+ Hours Live Interactive classes

Program Highlights

Industry projects with 20+ Case studies
10x More employable with a good salary
3 Mock Interviews

10+ Live Projects
220+ Hours Live Interactive classes

Ai & Machine Learning Bootcamp Training

Register Now to get 40% Scholarship

INR 90000+GST 6 months

Industry projects with 10+ Case studies 20x More employable with a good salary 3 Mock Interviews 20+ Live Projects 220+ Hours Live Interactive classes Resume Building  soft skill training with experts 1:1 interview  Job assistance and mock interviews

Course Completion Certificate

0
Industry Recognized Certification
0
Easily Sharable
0
NSDC & ISO Certification

Admission Process

The admission process for joining NLT Education courses is simple:

Application

Fill out the online application form on the NLT Education website.

Review of Application

Your application will be reviewed by the admissions team and our counselors will be connect you for further process

Enrollment

Successful candidates will receive an offer letter and can proceed with enrollment

Interview Process

Qualified candidates will be invited for an interview and documentation process for further Procedure in enrollement

Frequently Asked Questions

This course is designed for beginners with no prior coding experience who are interested in starting a career .

Depends on the course you are choosing

The classes are live and interactive, providing real-time engagement and immediate feedback from instructors.

A 90% attendance rate is mandatory to ensure consistent learning and progress throughout the course.

You must complete at least 70% of the assigned projects to gain hands-on experience and demonstrate your understanding of the material.

Assessments are conducted periodically to evaluate your understanding and progress. You must clear 100% of the assessments to get certified.

No prior coding knowledge is required. The course starts with the basics and gradually builds up to more advanced topics.

 

Yes, you will receive a certification from NLT Education upon meeting the attendance, project completion, and assessment clearance requirements.

 You will have access to live instructors, discussion forums, and additional resources to support your learning journey.

This course equips you with essential skills, making you eligible for various roles in the industry and enhancing your job prospects.