+1 315 666 4295AI and Machine Learning Masters Program in Atlanta GA, United States
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 in Atlanta GA 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 in Atlanta GA 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
Atlanta GA
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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Participant Reviews
Your career is our goal. We care for your professional empowerment. Don’t take it from us. Find out what our participants say about our service!
Anjushree Bangre 4
Feb 17th, 24
Certified Lean Six Sigma Black Belt | Process Engineer at Novelis
The training was good. It would be great with some case studies on important concepts. The practical examples of concepts would be better rather than just the concept definitions. Thanks, Akhil for providing me with the training.
Lindsay Kunz 4
Jan 16th, 24
PROGRAM MANAGEMENT │ MARKETING OPERATIONS | CUSTOMER EXPERIENCE
I was lucky to get an excellent trainer. Super knowledgeable and patient. Giving 4-stars only because Sprintzeal comes across as disjointed upon introduction. For example, two sales reps reached out to me at the same time and then I felt passed off. More visibility into who is doing what and their role would be helpful.
Ohiorenua Ahanmisi 5
Jun 19th, 24
Water/Wastewater Process Design Specialist
It was a really insightful and resourceful training session on the lean six sigma green belt. The trainer swati was very knowledgeable on the lean six sigma concept and was able to transfer the knowledge across effectively. I would recommend sprintzeal to my colleagues and friends.
James Johnson 5
Mar 19th, 24
Fleet mechanic and supervisor at U.S. Army
PMP Bootcamp Learned so much during the 4-day training PMP Bootcamp. Had an amazing instructor (Gabbi), who shared the first-hand experience of what we could expect working as a certified PMP.
Lance Meyer 5
Oct 20th, 24
Network Administrator
Great practical application and 1-1 training
The training was virtual and thus I was expecting a 'room' full of people. However it was just the instructor (Sonu Verma) and I. This made it much easier to tailor the instruction to my background and learning style and to go faster through material that I was already comfortable with.
Liza Barrick 4
Oct 15th, 24
Project Development Officer
Overall, the course was highly in depth and interactive. The instructor had a great knowledge of the topic and explained the content in full. While the instructor was great, I did have a hard time understanding their accent and spent a decent amount of time trying to understand what was said rather than the content. Ultimately, I will have to re-listen to the recordings or teach myself the content I did not understand. I did have a few issues regarding the preparation of the program. It would be beneficial to the student to know exactly what the program will entail and what is expected of them such as: what technology is required, the level of participation, and the expected schedule of the program. The support team answered emails quickly, and sent out the recordings in good time. I believe this was a good experience to have and to prepare for the PMP test.
Christi Sifri 4
Jan 19th, 24
CHIEF NURSE EXECUTIVE | GLOBAL CLINICAL PROGRAM DIR ORG & STAFF LEADERSHIP | CLINICAL RESEARCH| REGULATORY COMPLIANCE
Dani is a very knowledgeable project manager, with real-life experiences and stories. He was able to take the slides provided by Sprintzeal and know if they were from PMBOK 5 or PMBOK 6, what was enhanced, what was deleted, and apply an example that made sense to the topic. Dani's biggest challenge was the GoToMeeting process and landing back on the slide deck after providing additional information to teach a particular point. It is challenging to teach people on different coasts, but he was able to and respect the time difference.
Review of Sprintzeal: Alex reached out to me and walked me through the entire registration process, answering all of my questions and there were many. I was supposed to have a live class, but because I ended up being the only person that did not cancel they transferred me into an on-line class and have offered an additional class to make up for that. I received my PMBOX 6 book ahead of class and found everything very straight forward. I hope that the three mock tests and assistance in completing my application are as clear and efficient as the rest of this has been.
I have 4 stars for the slide reading and technical challenges to date.
Thank you - Christi
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Tony Mathew 5
Feb 14th, 24
Senior Program Manager
The training was very worthwhile and Mahesh the trainer was extremely knowledgeable. He provided real-world examples that assisted greatly. The content was well written, understandable and valuable. I would highly recommend this company and class for others. Lastly, the sign-up and coordination for the class was good as well.
Tim Heverin 5
Oct 29th, 22
Systems Engineer
Taking the CISSP class has helped to prepare me for the exam. Munavwar is an excellent trainer and has helped me to expand my knowledge in this area. Having the class recorded was very helpful so that I can go back and review material. This was much better than just reviewing slides. The thing that I most enjoyed was really expanding upon my own experience and applying it to the learning material. I highly recommend Munavwar when training for the CISSP exam.
Karen Mummaw 5
Jan 19th, 24
Chief Operating Officer at The Prospective Group
It was an excellent Bootcamp that provided a solid foundation/framework for PMP. I was hesitant to take a virtual course, but the limited size of the class and the excellent instruction made me a believer in virtual classes.
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 United States . 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 in Atlanta GA, United States 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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