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Master Artificial Intelligence and Machine Learning with our ML Training in Ph L . This course is designed for beginners and professionals who want to build predictive models, neural networks, and intelligent systems. Get hands-on training with real-world projects guided by expert data scientists and ML engineers with industry experience.
Years of Excellence
Students Trained
Job Assistance
Live Projects
Python
NumPy
Pandas
Scikit-learn
TensorFlow
PyTorch
Matplotlib
Seaborn
Future-Ready Curriculum with Large Language Models & GenAI
Generative AI & Large Language Models (LLMs) are revolutionizing the AI industry. Rather than being left behind, skilled ML engineers who master GenAI tools become invaluable assets. Our Machine Learning course includes comprehensive coverage of modern AI technologies.
Acesoftech Academy provides an ML course equipped with training on OpenAI GPT-4 LangChain Hugging Face Llama 2 Stable Diffusion and other advanced AI tools. Our aim is to prepare you to become a future-ready ML Engineer.
Your Gateway to a Successful AI & ML Career
Acesoftech Academy has been providing Machine Learning Courses since 2018. We have trained more than 2000+ Data Scientists & ML Engineers who are now working at top tech companies.
Our Machine Learning Course in Ph L takes you from complete beginner to an advanced, job-ready ML engineer covering classical ML, deep learning, NLP, and GenAI.
Our ML course is always updated as per industry standards. We regularly update our curriculum to include the latest algorithms, frameworks, and AI technologies.
Latest Curriculum
Instructor-led live training for Ph L students. Missed a class? Get recorded videos to cover missed sessions anytime.
Once you complete the ML course successfully, we provide 100% job assistance throughout India with our extensive placement support network.
Guaranteed Support
Build a professional ML portfolio by completing 10+ real-world projects including predictive models, image classifiers, NLP systems, and deployed ML APIs.
ML Engineers Trained
Years of Excellence
Job Assistance
A Step-by-Step Journey to Become a Professional ML Engineer
What Our Students Say About Us
"I joined Acesoftech for the Machine Learning course after my M.Tech. The curriculum is comprehensive — from Python basics to deep learning with TensorFlow. The projects on predictive modeling and NLP were outstanding. I now work as a Data Scientist at a leading analytics firm in Ph L ."
"I had a background in statistics but no coding experience. The ML course at Acesoftech changed everything. The trainers explained NumPy, Pandas, and Scikit-learn so well. I built my first predictive model within 2 months. Now I'm working as a Junior ML Engineer at a startup in Salt Lake."
"The Deep Learning module with TensorFlow and PyTorch was exceptional. I learned to build CNNs for image classification and RNNs for time series forecasting. The Generative AI module on LLMs and LangChain gave me cutting-edge skills. Highly recommended for anyone serious about AI!"
"Very professional ML training institute in Ph L . The faculty deeply understands algorithms and explains complex concepts like backpropagation and gradient descent with clarity. I got placement assistance and landed my first job as a Data Analyst within weeks of completing the course."
"I had 5 years of experience as a software developer. This ML course helped me transition into AI engineering. The model deployment module using Flask, Docker, and cloud platforms was exactly what I needed. I'm now leading ML projects at my organization."
"A fantastic institute for Machine Learning in Ph L . The NLP and LLM modules on Hugging Face, LangChain, and RAG architecture were cutting-edge. The GenAI tools module with OpenAI GPT-4 really set me apart in interviews. I now work as a Generative AI Engineer at a tech company."
After completing a Machine Learning diploma course from a reputed institute in Ph L , students can look forward to exciting careers across multiple industries. Ph L has a thriving IT, analytics, fintech, healthcare IT, and e-commerce sector that constantly needs talented ML professionals.
There are many reasons to choose Acesoftech Academy for your Machine Learning training. Here are just a few:
In order to be eligible for the Machine Learning course, you must have completed graduation (any stream) or equivalent. Basic mathematics and logical thinking skills are helpful but not mandatory as we cover the necessary statistics and math fundamentals. Anyone with a passion for AI and problem-solving can join this course.
A Machine Learning Engineer is responsible for designing, building, and deploying ML models that solve real-world problems. They work with data scientists, software engineers, and product managers to create intelligent systems.
The job responsibilities of an ML Engineer typically include:
The Machine Learning training course is open to graduates from any stream who have an interest in AI and data. Whether you are a B.Sc/B.Tech graduate, a working IT professional looking to upskill, a data analyst wanting to transition to ML, or someone passionate about building AI solutions — this course is for you. Basic programming knowledge is helpful but we cover everything from Python fundamentals.
In today's AI-driven world, Machine Learning skills are among the most valuable and future-proof technical skills you can acquire.
This course offers you comprehensive training covering Python, data analysis, classical ML, deep learning, NLP, model deployment, and GenAI — preparing you for a wide range of AI roles.
From building predictive models and image classifiers to creating NLP systems and deploying LLM applications, the skills you gain will set you apart in the job market.
You will graduate with a professional portfolio of 10+ ML projects, an industry-recognized diploma certification, and full placement support to help you land your dream AI/ML job.
Machine Learning is a subset of Artificial Intelligence that enables computers to learn from data without being explicitly programmed. ML algorithms identify patterns, make predictions, and improve over time with experience. It powers recommendation systems, fraud detection, image recognition, self-driving cars, and many other modern AI applications.
You will learn all major industry-standard technologies: Python programming, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn (classical ML), TensorFlow & Keras (deep learning), PyTorch, Natural Language Processing (NLTK, spaCy, Transformers), MLOps (Flask, Docker), and Generative AI (LangChain, Hugging Face, OpenAI API).
Yes, absolutely. Ph L 's IT and analytics sector is growing rapidly. Companies like Capgemini, Accenture, Cognizant, TCS, and many startups are actively hiring ML professionals. The demand for AI talent far exceeds supply, making it one of the best career choices in the current market with excellent salary prospects.
Basic programming knowledge is helpful but not mandatory. Our course starts from Python fundamentals before moving to ML algorithms. Many of our successful students came from non-CS backgrounds like mathematics, statistics, economics, and even arts. What matters is logical thinking and genuine interest in AI.
After completing this diploma course, fresher ML Engineers in Ph L earn between ₹25,000 to ₹40,000 per month. With 1-2 years of experience, salaries range from ₹50,000 to ₹1,00,000 per month. Senior ML Engineers and AI Architects earn ₹1.5L+ per month. Freelance ML consultants can earn significantly higher based on projects.
Yes! Portfolio building is central to this course. You will complete 10+ real-world ML projects including: house price prediction, customer churn prediction, sentiment analysis, image classifier, recommendation system, time series forecasting, chatbot with NLP, and a final capstone project of your choice deployed as a web app.
AI (Artificial Intelligence) is the broad field of creating intelligent machines. ML (Machine Learning) is a subset of AI where algorithms learn from data. Deep Learning is a subset of ML using multi-layer neural networks. Our course covers all three levels — from classical ML algorithms to advanced deep learning and modern generative AI.
Yes, we provide a Diploma Certificate in Machine Learning & AI after successfully completing the course. The certificate is recognized by national and international tech companies and significantly adds value to your resume when applying for Data Science and ML roles.
No, a basic laptop (4GB+ RAM, Core i3+) is sufficient. For deep learning projects, we provide access to Google Colab with free GPU. We also offer cloud GPU access for advanced projects. You don't need a high-end computer to learn ML.
Yes, we offer flexible timings — morning, evening, and weekend batches — so students and working professionals can choose what works best for them without disrupting their existing commitments.
Yes, we provide weekend batches (Saturday & Sunday) for working professionals and students. You can complete the full 6-month diploma while working full-time.
Yes, we have an easy instalment facility where you can make payments in instalments. Contact us for more details on available payment plans and fee structure.
We maintain small batch sizes of 4-5 students per batch to ensure each student gets personal attention, code reviews, and project feedback throughout the entire course duration.
Yes, we provide 100% job assistance including resume preparation, LinkedIn profile optimization, mock interviews, and direct referrals to our hiring partner companies. We have a dedicated placement cell that works actively to connect students with job opportunities.
If you miss a class, you will receive a recorded video of the missed session. For offline students, a substitute class can be arranged at a mutually convenient time. No student is left behind regardless of attendance.
The Machine Learning diploma course is a 6-month program. For weekend batches, the duration may be extended slightly to cover the same comprehensive curriculum. We also offer fast-track options for students who want to complete sooner.
We offer both online and offline options. If you are from cities outside Ph L , you can join our live online classes with instructor interaction. If you are from Ph L , we recommend the offline classroom training. Both modes offer the same quality of training, projects, and certification.
Absolutely! We have many successful students from mathematics, statistics, economics, commerce, and even humanities backgrounds. What matters most is your interest in AI and willingness to learn. We start from the basics of Python, so no prior IT background is required.
No — instead, AI tools are augmenting ML professionals. Tools like GitHub Copilot and ChatGPT help developers code faster, but they cannot replace the strategic thinking, problem-solving, and domain expertise that skilled ML engineers bring. The demand is shifting toward professionals who can effectively leverage AI tools. Our course specifically trains you to work alongside AI tools effectively.
You can contact us or send your question via WhatsApp: 8583959528. We are happy to answer any additional questions you have about the Machine Learning course, fees, schedule, batch timings, syllabus, or career prospects.