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Introduction to Artificial Intelligence and Machine Learning.

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Learn the fundamentals of Artificial Intelligence and Machine Learning, exploring key concepts, algorithms, and real-world applications to build intelligent systems and advance your career in AI-driven technologies.

  • Real-time Projects: Work on AI/ML projects using real-world datasets
  • Live Sessions: Interactive classes with industry experts
  • Expert Trainers: Learning from professionals with years of practical industry experience
  • Diverse Domains: Work on projects spanning healthcare, finance, marketing, e-commerce, and more
  • Career Guidance & Internship Opportunities
  • Post-training Support: Continuous guidance post-training until you secure a job

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Artificial Intelligence & Machine Learning Course

LearnersByte offers a comprehensive Artificial Intelligence (AI) and Machine Learning (ML) course in Hyderabad designed for students and professionals eager to excel in these cutting-edge technologies. This program covers key concepts like supervised and unsupervised learning, neural networks, and data preprocessing. With hands-on projects, learners gain practical experience in building AI/ML models, enhancing their technical skills and career prospects. Taught by industry experts, the course prepares you for roles like Data Scientist, Machine Learning Engineer, and AI Developer. Whether you’re a beginner or looking to upskill, our AI/ML course provides the knowledge and certification to thrive in the tech-driven job market. Enroll today to become a part of Hyderabad’s growing AI revolution.

Why Learners Byte ?

  • Courses designed by Experts
    Our courses are expertly crafted by IIT alumni and industry-experienced professionals
  • 26+ Years Of Experience
    We trained 1,00,000+ students with more than 25% Placements to our students
  • Recognized by AICTE
    our programs meet the highest standards of quality and industry relevance.
  • Expert Corporate Training
    Leverage our extensive experience in corporate training with hands-on, impactful programs that drive employee success
  • Official Skills Enablement Partner of VTU
    Proud Partner of Visvesvaraya Technological University to deliver industry-aligned, future-ready skills
  • Comprehensive Course Offering
    A wide range of courses covering the latest in cloud computing, DevOps, AI/ML, data science, and full stack dev.
  • Strong Industry and Technology Partnerships
    Our robust connections with leading industries and technology partners enable students with certifications
  • Flexible Delivery Options
    Access to online, onsite, and hybrid training options with flexible payment options

AL & ML course training in Hyderabad - Course Details

Our Artificial Intelligence (AI) and Machine Learning (ML) course offers in-depth training on essential topics like supervised and unsupervised learning, neural networks, data preprocessing, and model optimization. Designed for both beginners and professionals, the course focuses on hands-on projects, enabling you to build AI/ML models and apply them to real-world scenarios. Key modules include data analysis, deep learning basics, and practical applications of AI. Taught by industry experts, this course provides valuable certification and career guidance, preparing you for roles in data science and machine learning. Join us to master AI/ML and elevate your career in tech.

Module 1 - Introduction to AI and ML
  • History and Evolution of AI
  • Types of Machine Learning: Supervised, Unsupervised, Reinforcement Learning
  • Overview of AI tools and libraries
  • Linear Algebra, Probability, Statistics for Machine Learning
  • Understanding vectors, matrices, and eigenvalues
  • Regression (Linear, Logistic)
  • Classification (K-Nearest Neighbors, Decision Trees, SVM)
  • Clustering (K-Means, Hierarchical)
  • Dimensionality Reduction (PCA, t-SNE)
  • Neural Networks fundamentals
  • Convolutional Neural Networks (CNN)
  • Recurrent Neural Networks (RNN)
  • Basics of RL
  • Q-learning and Policy Gradient methods
  • Cross-validation, bias-variance tradeoff
  • Grid Search, Random Search for hyperparameter optimization
  • Real-world ML/AI problem-solving with a final presentation
  • Python core for Data science (Numpy,pandas and etc)

AI & ML Course - Eligibility & Pre-requisites

Prerequisites for Each Course:

Basic AI/ML Course (3.5 months):

  • Open to any graduate.
  • No technical or coding skills required, but a basic understanding of Python is recommended.
  • Willingness to learn machine learning algorithms and data science concepts.

 

Advanced AI/ML Course (6 months):

  • Open to any graduate. • Familiarity with programming (especially Python). • Basic knowledge of linear algebra, statistics, and calculus is helpful but not mandatory.
  • A passion for diving deeper into advanced machine learning techniques like deep learning, NLP, and computer vision.
 
 
 

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Frequently Asked Questions about AI & ML course in Hyd

What is an AI/ML course?

AI/ML (Artificial Intelligence / Machine Learning) is an evolving and high-demand field
in IT, where you learn how to build intelligent systems capable of data-driven decision
making, predictions, and automation. The course focuses on key AI/ML concepts, such as
data preprocessing, model building, and applying advanced techniques to real-world
problems. You’ll work on various tools and frameworks like Python, TensorFlow, Scikitlearn, and more.

There are two programs for AI/ML training:

  • Basic AI/ML Course (3.5 months) – Focuses on foundational concepts and practical applications.
  • Advanced AI/ML Course (6 months) – Deep dives into advanced techniques like deep learning, natural language processing (NLP), computer vision, and real-world project implementations.

Basic AI/ML Course (3.5 months):

  • Any graduate can enroll.
  • Basic coding skills and basic maths required.
  • Basic knowledge of programming (Python) or willingness to learn.

 

Advanced AI/ML Course (6 months):

  • Any graduate can enroll.
  • Some basic understanding of programming and mathematics (especially linear algebra and statistics) is beneficial.
  • Ideal for those who have completed the basic course or have some experience in programming and are eager to learn advanced AI/ML techniques.
  • You will be ready to work on real-world AI/ML projects, with the ability to develop intelligent systems and deploy machine learning models.
  • You’ll be equipped to crack interviews at top companies in sectors like IT, finance, healthcare, e-commerce, and more.
  • You will gain the hands-on experience necessary to transition into AI/ML roles.

Basic AI/ML Course (3.5 months): [ ]

Advanced AI/ML Course (6 months): [ ]

  • Fees include all training materials, live sessions, project work, and support.

Yes, there are other AI/ML courses offered by platforms like Coursera, edX, and Udemy. However, our course stands out because:

  • We provide real-world datasets and work on practical AI/ML projects.
  • Our instructors are industry experts with years of hands-on experience.
  • We offer placement assistance, career counselling, and internship opportunities.
  • Our training includes live sessions, personalized guidance, and mock interview preparation.

We have over 5 years of experience in AI/ML and data science training. Our team comprises experts who have worked on cutting-edge AI/ML projects across various industries.

Yes, we provide real-time datasets across various industries:

  • Healthcare: Patient data, disease prediction, etc.
  • Finance: Stock prediction, fraud detection, etc.
  • E-commerce: Recommendation systems, sales forecasting, etc.
  • Manufacturing: Predictive maintenance, supply chain optimization, etc.

During the course, you will work on projects that span multiple domains:

  • Business Intelligence: Building machine learning models for sales forecasting and customer churn prediction.
  • Healthcare: Implementing disease detection systems and healthcare data analytics.
  • Finance: Stock price prediction, fraud detection, and credit scoring models.
  • E-commerce: Building recommendation systems, customer segmentation models.
  • Natural Language Processing (NLP): Text classification, sentiment analysis, and chatbot creation.
  • Computer Vision: Image recognition, object detection, and facial recognition models.

Yes, we provide career guidance, including:

  • Resume building
  • CV uploading on job portals
  • Mock interview sessions
  • References and networking opportunities through our alumni network.

Yes, we offer internship programs (up to 6 months) for:

  • Final-year students, college graduates, and freshers.
  • Those looking to switch careers to AI/ML in the IT industry.
  • Internship certificates are provided upon completion.

Yes, both the Basic and Advanced courses cover real-world projects. • Basic Course includes 2-3 smaller projects with real-world datasets.

  • Advanced Course includes larger, more comprehensive projects with complex datasets across various domains.
  • Duration and fees for projects are included in the course. Custom projects are available for those seeking specific skills.

During the course, you will work on projects that span multiple domains:

  • Business Intelligence: Building machine learning models for sales forecasting and customer churn prediction.
  • Healthcare: Implementing disease detection systems and healthcare data analytics.
  • Finance: Stock price prediction, fraud detection, and credit scoring models.
  • E-commerce: Building recommendation systems, customer segmentation models.
  • Natural Language Processing (NLP): Text classification, sentiment analysis, and chatbot creation.
  • Computer Vision: Image recognition, object detection, and facial recognition models.

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John Doe
“Mr. Rao is an excellent trainer for AWS Solution Architecture. A few of my friends and I took his live classes over the net. Madhu's training materials are valuable. He is very knowledgeable and detail-oriented. Cost of his training classes are very reasonable compared to other available training providers in the local market. I strongly recommend him for your AWS Solution Architecture training needs.”