AI & Machine Learning Training

AI & Machine Learning Training

Transform Your Future With AI & Machine Learning Skills Today!

Real-Time Experts as Trainers

Certification

Affordable Fees

Live Online Classes

Flexibility

Placement Support

AI and Machine Learning are the most powerful and rapidly expanding technologies in the world, creating high-demand career opportunities across industries including IT, finance, healthcare, automotive, robotics, cybersecurity, e-commerce, and research. Companies are actively hiring AI engineers and ML specialists to create intelligent solutions such as recommendation systems, chatbots, fraud detection systems, self-driving models, image recognition, and automation tools.

At SK Technologies, students learn with real projects, hands-on coding, practical lab activities, and case studies using real datasets. Along with technical training, we offer strong placement assistance including resume building, LinkedIn profile optimization, mock interviews, aptitude practice, communication training, and job referrals until candidates secure employment.

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Unleashing the Power of AWS Cloud at SK Technologies

AI & Machine Learning Course Syllabus

  • What is AI & ML?

  • AI vs ML vs DL vs Data Science

  • Real industry applications

  • Variables, loops, functions

  • OOPs fundamentals

  • Libraries & automation

  • Probability & distributions

  • Hypothesis testing

  • Statistical decision-making

  • Web & database sourcing

  • Data formats & storage

  • Loading & merging data

  • Handling missing values

  • Outlier removal

  • Feature engineering

  • Data visualization

  • Correlation analysis

  • Distribution study

 

  • Encoding & scaling

  • Feature selection methods

  • Dimensionality reduction

  • Regression models

  • Classification techniques

  • Model evaluation metrics

  • Clustering algorithms

  • PCA dimensionality reduction

  • Anomaly detection

  • Hyperparameter tuning

  • Grid search & random search

  • Model selection

  • ANN architecture

  • Activation functions

  • Backpropagation

  • Text cleaning & tokenization

  • Sentiment analysis

  • Language modeling basics

  • Flask / FastAPI deployment

  • Cloud deployment basics

  • API building

  • Data modeling

  • KPI creation

  • Storytelling reports

  • Data extraction queries

  • Joins & advanced functions

  • Report automation

Features

Real-Time Experts as Trainers

Each course offered at SK Technologies Software Training Institute will be taught by instructors who have a wealth of experience in the various sectors. Benefit from proper guidance from practicing professionals in the technical field.

Live Project

Receive the actual experience based on the best assortment of practice-oriented tasks from our specialists. A platform where you can put your project work and get a better chance at getting employed by the best firms.

Certification

Be certified by SK Technologies and be prepare to clear global certifications. Many of our students pursue international certification exams, and our training prepare them rigorously to achieve high pass rates.

Affordable Fees

As a company, SK Technologies understands that education is a necessity that should be enjoyed by all. As for the tuition fee, we offer competitive prices, and our client may even split the payments. Our dedication is to provide excellent instruction at the most reasonable cost.

Flexibility

Look no further, for with SK Technologies, you have the ultimate flexibility at your fingertips. Select classroom or on-job training, morning or night sessions, working or weekends, and Normal or accelerated system. Choose any option that you like most.

Placement Support

Benefit from our tie-ups and MOUs with over 1500+ small and medium companies. We provide robust placement support to help you kick-start and advance your career in the tech industry.

Why Choose SK Technologies for AI & ML Training?

Instructor-Led Live Online Training At SK Technologies

AI & ML Certification Training

The AI & Machine Learning Certification Training at SK Technologies is designed to validate and strengthen the skills of learners by providing hands-on experience in real-world artificial intelligence and machine learning applications. This certification proves that students have gained the ability to collect and process data, build predictive ML models, evaluate algorithms, deploy real-time applications, and automate decision-making systems just like professionals in the industry. The goal of this certification is to transform learners into job-ready AI engineers capable of solving real business challenges using intelligent technologies.

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Nivetha S

The AI & ML course at SK Technologies was very helpful and practical. The trainer explained everything clearly and supported us with real examples. The hands-on projects improved my confidence, especially working on prediction models and neural networks. Placement support was excellent, and I got selected as an ML Engineer soon after completing the course. I’m very thankful to SK Technologies for guiding my career.

Rahul K

I had no prior experience in coding, but the training made learning very easy. The sessions were interactive, and the real-time datasets helped me understand concepts clearly. The project work and mock interviews improved my skills. With the support of the placement team, I received an offer as an AI Developer. I am happy with my learning journey.

Pavithra R

The training was structured very well, covering everything from basics to advanced deep learning. The trainer shared industry examples that made complex topics easy to understand. I learned many new tools and worked on interesting AI projects. The placement team guided me throughout the process. Now I am working as a Data Scientist Trainee. A great institute for beginners.

Manoj P

I really enjoyed the training experience at SK Technologies. The practical labs and real-time exercises helped me learn how machine learning works in real companies. I liked the environment and continuous support. After completing the course, I secured an internship as a Machine Learning Intern. I am very satisfied and grateful for the support and training quality.

Swetha M

The course was very useful and helped me build strong knowledge in AI and neural networks. The trainer explained each topic patiently and provided many examples. I gained hands-on experience working with TensorFlow and NLP projects. Placement support was excellent, and I got placed as an AI Research Assistant. Truly the best decision for my career.

Saran K

The AI & ML training exceeded my expectations. The practical classes, live projects, and recorded sessions helped me learn every concept deeply. Interview preparation sessions built my confidence, and the placement team supported me continuously. I got placed as a Junior ML Engineer within a few weeks. Thank you SK Technologies for a great learning experience.

Frequently Asked Questions (FAQ)

The AI & Machine Learning course typically takes 3 to 4 months to complete, depending on the learning pace and batch type. We offer weekday, weekend, and fast-track batches based on student requirements.

No, programming knowledge is not mandatory. We start training from the fundamentals, including Python basics, so even students from non-IT backgrounds can learn easily with guidance and practice.

Yes. Upon successful completion, you will receive an AI & Machine Learning Certification from SK Technologies, which enhances your resume and increases your chances during job interviews.

Yes, we provide 100% placement support, including resume building, LinkedIn profile optimization, mock interviews, aptitude training, communication practice, and job referrals through our network of 1500+ hiring companies.

Yes. The training includes multiple real-time AI & ML projects such as prediction models, NLP, image classification, recommendation systems, and a final capstone project that prepares you for real industry work.

Yes. We offer free demo sessions so students can understand the training style and course structure before enrollment.

Absolutely. Many successful students come from commerce, science, arts, and management backgrounds. We train from basics and provide strong support for beginners.

Objectives of AI & ML Training at SK Technologies

Build a Strong Foundation in Artificial Intelligence & Machine Learning Concepts

The primary objective of this program is to provide students with deep understanding of AI and Machine Learning fundamentals, from basic theory to real-time implementation. Learners gain clarity on how intelligent systems work, how ML algorithms learn patterns, and how AI technology is used in different industries to automate tasks and improve decision-making.

Equip Students with Practical, Hands-On Skills Using Real Projects

A key focus of this training is to enable students to apply concepts in real-world scenarios by working on real datasets, case studies, and artificial intelligence projects such as sentiment analysis, forecasting, object detection, and recommendation systems. This practical learning approach ensures students gain confidence to build machine learning models independently and deploy them in real environments.

Develop Analytical, Problem-Solving, and Logical Skills

This course aims to strengthen the ability to analyze problems, choose appropriate algorithms, preprocess data, measure model performance, and provide intelligent solutions using AI methods. Students learn how to think like AI engineers — understanding data behavior, identifying patterns, and using insights to build predictions and automation workflows.

Prepare Learners for Industry Expectations & Technical Interviews

Another major objective is to make students job-ready by providing professional skills such as project explanation, interview strategy training, resume building, LinkedIn optimization, and mock interview practice. Students learn how to present AI/ML projects confidently, answer technical questions effectively, and demonstrate real-time workflow knowledge used by leading companies.

Train Students to Build End-to-End AI Solutions

The training helps students understand the complete lifecycle of AI projects including:

  • Data gathering & preprocessing

  • Algorithm selection and training

  • Model testing & tuning

  • Deployment & monitoring

  • Real-time integration with applications

This ensures students are ready to work in practical environments where AI models support business operations.

Enable Smooth Career Transition and Job Placement

The course provides strong placement support, guiding students toward high-demand roles such as AI Engineer, ML Engineer, Data Scientist, NLP Engineer, and Deep Learning Engineer. With resume guidance, real-time projects, and interview support, students gain the confidence and skills needed to secure a professional career in AI.

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