+1 315 666 4368AI and Machine Learning Masters Program
AI and Machine Learning Master Program is curated to equip you with the skills, knowledge, and practical expertise needed to excel in the dynamic landscape of AI technologies. You'll delve into the core concepts of AI, explore advanced machine learning algorithms, and harness the power of deep learning architectures. Through a blend of hands-on workshops, real-world projects, and cutting-edge tools, you'll emerge as a proficient AI professional ready to drive innovation across industries.
Training Options
About AI and Machine Learning Masters Program
Sprintzeal's AI and Machine Learning Masters Program training covers hands-on projects, practicals, and access to hackathons, learning accessible to Python, Keras, Django, Tensor Flow, Flask, Amazon Sage Maker, NLTK, Alexa, OpenAI Gym. AI and Machine Learning Masters Program Certification helps to master key methodologies and enables professionals to develop related tools and apply AI and ML applicable to practical domains.
AI and Machine Learning Masters Program Key Features
100% Satisfaction Guarantee
Get Benefits
Artificial Intelligence and Machine Learning - Demand and Career Scope
Mode Of Training
Aberdeen MD
Live Online Training
$ 4975 $7463
- Expert-Led Learning with Personalized Guidance.
- Exclusive Access to Study Materials, Labs and Toolkit
- Master Python, Pandas, Keras, and 10 Other Tools
- Acquire Industry Recognized AI and ML Certification
Corporate Training
- We can customise the training
- Flexible pricing options
- 24x7 learner assistance and support
- We can deliver both In-Person or Live Online
- Pay after the training completion
Download Course Agenda And Company Brochure
Course Agenda
Company Brochure
AI and Machine Learning Masters Program
Internationally Recognized AI and Machine Learning Course by Sprintzeal
Our AI and Machine Learning Masters Program covers a comprehensive range of topics, from the fundamentals of AI to advanced machine learning techniques. Dive into supervised and unsupervised learning, neural networks, and explore the capabilities of large language models. Practical exercises and industry case studies ensure a well-rounded learning experience.
In this course, you will learn the latest AI technologies, Speech Recognition, Machine Learning, Deep Learning, Language Processing, and more. You can download our Course Syllabus to get full details of the topics covered and skills offered in this course. This course is aimed at equipping learners with the knowledge and skills necessary for building a successful career in the field of Artificial Intelligence and Machine Learning.
Upon completion of our AI and ML course, you will unlock a world of career opportunities as a data scientist, AI engineer, machine learning engineer, and more. Industries across sectors are actively seeking AI professionals to drive growth and innovation.
What Technical Skills Will You Gain?
- Proficiency in Python programming for AI and ML applications.
- Data preprocessing techniques to clean and transform data effectively.
- Building and evaluating various machine learning models.
- Implementing neural networks and deep learning architectures.
- Image classification and recognition using Convolutional Neural Networks (CNNs).
- Natural Language Processing (NLP) skills for text analysis and sentiment analysis.
- Clustering and dimensionality reduction for unsupervised learning.
- Working with large language models and fine-tuning them for specific tasks.
- Ethical considerations in AI technology deployment.
- Hands-on experience with industry-standard AI and ML tools and libraries.
Day 1: Introduction to AI & ML
- Hour 1-2: AI vs ML vs Deep Learning: Definitions and Differences
- Hour 2-3: Importance and Applications of AI & ML
- Hour 3-4: Setting up the Environment (Python, Jupyter Notebook, Libraries)
- Hour 4-8: Python Refresher: Essential Libraries for ML (NumPy, pandas)
Day 2: Supervised Learning - Basics
- Hour 1-2: Introduction to Supervised Learning
- Hour 2-3: Linear Regression
- Hour 3-6: Logistic Regression, Naive Bayes, KNN
- Hour 6-8: Hands-on: Building & Evaluating Regression Models
Day 3: Supervised Learning - Advanced
- Hour 1-2: Decision Trees and Random Forests
- Hour 2-3: Support Vector Machines (SVM)
- Hour 3-6: Ensemble Methods: Boosting, Bagging
- Hour 6-8: Hands-on: Classification Problems & Model Evaluation
Day 4: Unsupervised Learning
- Hour 1-2: Introduction to Unsupervised Learning
- Hour 2-4: Clustering: K-means, Hierarchical
- Hour 4-6: Dimensionality Reduction: PCA, t-SNE
- Hour 6-8: Hands-on: Clustering and Visualization
Day 5: Neural Networks and Deep Learning - Basics
- Hour 1-2: Introduction to Neural Networks
- Hour 2-3: Forward and Backward Propagation
- Hour 3-4: Activation Functions, Loss Functions
- Hour 4-8: Hands-on: Building a Basic Neural Network with TensorFlow/Keras
Day 6: Convolutional Neural Networks (CNNs)
- Hour 1-2: Introduction to CNNs
- Hour 2-3: Image Classification and Feature Learning
- Hour 3-4: Pooling, Flattening, and Full Connection
- Hour 4-8: Hands-on: Image Recognition Tasks with CNNs
Day 7: Recurrent Neural Networks (RNNs) and Natural Language Processing
- Hour 1-2: Introduction to RNNs and LSTM
- Hour 2-5: Basics of Natural Language Processing (Tokenization, Embedding, TfIdf, Bag of Words)
- Hour 5-6: Sequence Models and Attention Mechanism
- Hour 6-8: Hands-on: Text Generation and Sentiment Analysis
Day 8: Dive into Large Language Models (LLMs)
- Hour 1-2: Introduction to LLMs
- Hour 2-3: Inner Workings of GPT-style Models
- Hour 3-4: Training and Fine-tuning LLMs
- Hour 4-5: Practical Applications of LLMs
- Hour 5-6: Ethical Considerations and Limitations
- Hour 6-7: Hands-on Session: Using Pre-trained LLMs
- Hour 7-8: Advanced Topics & Wrap-up
Prerequisites for AI and Machine Learning Master’s Program
- Candidates must have a bachelor’s degree with an average score of 50% or more
- Understanding of basic concepts in programming, statistics and mathematics is required
- Candidates with 2+ years of working experience in AI and Machine learning are advised to take up this course. Nevertheless, having work experience is not mandatory and candidates with no experience can also apply.
Note - Candidates are advised to have knowledge of Python before taking up this course. We offer a free pre-course session for candidates who do not have knowledge about python to help them understand the master program better.
Talk to our Master’s Program Counselor in AI and Machine Learning certification for a better understanding of the scope and application process of this AI and Machine Learning course. We have a team of dedicated experts at Sprintzeal who will guide you with the master program details, application process, and other essential queries.
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Satish Chandran 5
May 5th, 24
Senior Manager
I have completed ITIL V4 training from Sprintzeal.
The trainer holds very good knowledge and answered all questions with good examples.
Valerie Alexis-Seymore 5
Jan 11th, 24
Operations Manager at UT MD Anderson Cancer Center
The class was very informative. Great job Biswa.
Bafford 5
Feb 10th, 24
Project Manager
Jason and Shane were phenomenal. I scheduled the bootcamp and went through the training. I had a hiccup during the training and was unable to complete a portion. Jason made all of the resources available to me and accommodated me in moving forward. Jason from SprintZeal was helpful from the start and through the finish of the process. Thank you all so much! You are all that you advertise and so much more. 100% great training and service! Trust Mamma Reviews
Dhuha Qazwini 5
Oct 1st, 24
Logistics and procurement Analyst
I'm glad I discovered SprintZeal on my journey to getting the PMP Certification and Lean Six Sigma Green Belt Certification. Their PMP Certification Exam Prep course and resources (videos, practice exams) are very effective and helpful. The teachers and support staff are top-of-the-line. When I have questions, I get almost instantaneous replies from the support focal (even during the holidays). The Lean Six Sigma Green Belt Certification on-line course is easy to comprehend. The on-line course gives me flexibility as I can take it anytime, on my own schedule. I look forward to taking the exams and getting my certification!
Angela Bynum 5
Mar 7th, 24
Community Engagement Director at Arthritis Foundation
Great PMP course and instructor. Would highly recommend.
Regina Ogbone 5
Jul 11th, 24
Senior System Engineer
"I've never completed a course like this before (remotely) and I cannot express how great the instructor was and the overall content of the material. The way he taught was very clear in his method of teaching. The instructor was very knowledgeable and provided a wealth of information about the current version of CompTIA Security+. All my questions were answered and the class interaction was very good. I loved the fact that even though I was in a class with other people, the actual physical space was quiet and very conducive to learning! Thank you.
Trevor Grier 5
Jul 11th, 24
IT Product Development Specialist
The trainer has a very good knowledge of CompTIA A+ and explain the concepts very nicely and clear all understanding and help troubleshoot when needed.
Archana Kalwani Sajnani 4
Oct 1st, 23
Business Operations Manager
I have completed my six sigma green belt training. The admin staff, support team and the trainer were very helpful and flexible. The trainer was very good and helped understand the concepts well. Thank you for all the support.
Linda Parrish 5
Apr 18th, 24
Energy Contracts Administrator
Awesome CBAP Test Prep Course with Excellent Customer Service. In March 2019, select staff from two of our departments partnered up to undertake the CBAP Test Prep course offered by Sprintzeal. I learned the BABOK was difficult to comprehend until our trainer, Delilah Allison, explained the book's layout and the meaning behind each section. Her teachings enable me to grasp the Business Analysis concept (even though most of my tasks were in a project management world). Our Account Manager, Alex Wood, provided excellent customer service going above the call of duty to ensure our satisfaction. We did encounter some hiccups along the way which were either resolved or addressed in an expedited manner. Also, the price per person was reasonable compared to what was offered and what other companies offered. My overall experience with Sprintzeal is a positive one. I would definitely recommend the class. Source - Trustpilot
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May 7th, 24
Cloud Engineer
Liked the AWS training course that I took at Sprintzeal. The content was good and the trainer took time to go back and answer any questions. The slides depicted the concept on each topic well. I recommend this course for quick grasp.
Sample Certificate
Artificial intelligence technologies and machine learning are being adopted by booming businesses and industries all over the world. With this sudden rise in the market, there is a shortage on AI and machine learning specialists in various parts of the world. Taking up AI and Machine Learning courses can help candidates benefit from this current market scenario, get high paying jobs and have a successful career.
Sprintzeal’s Master Degree program in AI and Machine Learning is one of the most trusted and best AI and Machine Learning certification in . This AI and Machine Learning certification is designed by industry experts and comes with several benefits like best price guarantee, flexible schedules, interactive sessions, hands-on projects, access to hackathons and more.
Below are the Eligibility Criteria for AI and Machine Learning training program
- Bachelor’s degree holder with an average score of 50% or more
- A foundational understanding of concepts in programming, statistics, and mathematics.
- Two or more years of work experience in AI and Machine learning certification (preferred)
Sprintzeal’s AI and Machine Learning master’s program follows a simple four-step admission process.
- Fill out the application form and submit it for review
- After the application is reviewed by our counselors, confirmation is provided
- A candidate is requested to pay the course fee and enroll in the batch of their choice
- Get started with AI and Machine Learning Master Program
Sprintzeal’s AI and Machine Learning Master’s Program is designed by industry experts considering the latest AI and machine learning trends and technologies. It is a full fledge 12 month course with several benefits for candidates undergoing training. On completion of the course, a globally recognized Master’s Program AI and Machine Learning Certification are awarded to candidates.
Below is the list of technologies candidates are exposed to in order to improve their AI skills, Machine learning and deep learning techniques, Natural language processing, Computer vision, Neural networks, Generative adversarial networks and more. This AI and ML course is designed by industry experts. It is aimed at enhancing a professional’s knowledge and helping him/her become an AI and ML expert.
Most of the AI and Machine Learning training courses require candidates to have a bachelor’s degree with 50% or more score. Candidates with work experience in Artificial intelligence field or machine learning are preferred. However, it is not compulsory to have work experience in this field. Graduates interested in making a career in AI and machine learning can also take up this course.
Where our Alumni Work
Sprintzeal AI and Machine Learning Masters Program Certificate Holders work at 1000s of companies like
Frequently Asked Questions
After finishing the course, the candidate is awarded a Masters Program in AI and Machine Learning certification.
Sprintzeal’s master program is considered one of the best AI and ML courses for its high quality training and support. It comes with study materials, audio-video lectures from expert trainers, practice tests, and 24x7 support via chat and email throughout the course.
AI and Machine Learning Master’s Program is equipped with Global teaching assistance for candidates enrolling for the course. We offer 24/7 support to customers and participants willing to or already undergoing AI and Machine Learning training program with Sprintzeal. Participants can reach out to us for support via email, chat, and phone. Our dedicated team will help you with queries, and resolve issues to help you get the most out of your training.
Candidates must enroll for the course, finish all sessions and clear the exam to earn the Master’s Program AI and Machine Learning Certification.
Our course advisors and support team are available 24x7 to help candidates undergoing training for Masters Program in AI and Machine Learning. Candidates can reach us with their issues and queries via chat, email or call option.
Yes, candidates can cancel their training if required. We also offer rescheduling option. Plus, for candidates who wish to cancel their AI and Machine Learning training, the refund amount after deducting administration fee is also provided.
Yes, certifications provided by Sprintzeal are internationally recognized. All the courses are accredited by internationally recognized governing bodies and are registered trademarks of the institute.
On completion of the AI and Machine Learning course, candidates will be considered a part of Sprintzeal’s alumni. This makes them eligible for extra benefits and exclusive offers.
Yes, candidates can access AI and ML courses content at any time. They can access AI and Machine Learning training content even after completion of the course.
Although a basic understanding of AI, statistics, and programming is advised, it isn’t mandatory. Candidates with no work experience or technical knowledge in AI can also apply for AI and Machine Learning courses.
Candidates with bachelor’s degree and those willing to make a career in this field can enrol in Sprintzeal’s AI and Machine Learning course. This Masters program offers both foundational and advanced AI and Machine Learning skills.
AI and Machine Learning Certification course offers in-depth knowledge about both basics and latest advancements in Artificial Intelligence and Machine Learning. Some of the important concepts learned in this course are NLP, Speech recognition, GANs, Tensor flow, NumPy, and more
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