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Artificial Intelligence and Machine Learning are the most popular technologies contributing to the global digital transformation. Join Artificial Intelligence and Machine Learning Courses and become an Artificial Intelligence Engineer to get way to an exciting, developing profession.
(Instructor-Led Online Training)
Artificial Intelligence is a broader concept of machines depicting humans and carrying out smart tasks easily, whereas Machine Learning is its subset maximizing the performance of a machine. The combined study of it makes you familiar with the technologies incorporated and their importance today and in the future.
At the very beginning of our Artificial Intelligence and Machine Learning courses, we will understand AI/ML and its relevance to networking, use of python in AI/ML, and fundamental of AI/ML.
Then you will be introduced to the Language Models (LMs), Predictive AI, and Generative AI adding core practical exposure to your skills on how AI and ML-based projects are implemented in organizations.
So, if you are someone seeking a career as an Artificial Intelligence Engineer, our training is the best choice for you. Any knowledge of Programming or advanced mathematics isn’t compulsory to join the AI and ML Courses, so anyone interested in learning and innovating in the field of automation can enroll with us.
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Introduction to AI/ML and Its Relevance to Networking
Overview of AI and ML
AI and ML in the Networking Domain
Basic Concepts of Networking
Python for AI/ML and Networking
Introduction to Python
Working with Network Data
Data Handling and Processing
Understanding Network Data Formats
Working with Data in Python
Data Visualization for Network Insights
Fundamentals of Machine Learning
Understanding Machine Learning
Feature Engineering for Network Data
Introduction to Predictive AI for Networking
What is Predictive AI?
Network Data for Predictive AI
Predictive AI Use Cases in Networking
Fundamentals of Language Models and AI
Introduction to Language Models (LMs):
Creating Language Models:
Applications of Language Models in Networking:
Generative AI and its Application in Network Engineering
Introduction to Generative AI
Generative AI for Network Configuration and Scripting
Artificial Intelligence is the study of making computers do tasks that at present humans do better like Driving a Car, Playing Chess, Assisting and more. Whereas, Machine Learning is an application of AI that gives the ability to machines to learn on their own, without being explicitly programmed and improve performance through past experiences.
Artificial Intelligence and Machine Learning Course is designed for everyone who wants to learn and innovate in the field of automation. This training makes you familiar with AI and ML popular technologies and their importance today and in the future.
The Beginner level of AI and ML Courses deal with the conceptual understanding of the fundamentals of Artificial Intelligence and Machine Learning concepts. In this Foundation-level training, you learn about AI and ML applications and their real-life use cases in different industries, including banking, healthcare, automation, e-commerce etc.
Additionally, you get core practical exposure on how AI and ML based projects are implemented at organizations under expert’s guidance of experienced industry mentors.
Even if you are a professional with a non-technical background, you can get hands-on with Artificial Intelligence & Machine Learning experience without any knowledge of Programming.
The AI and Machine Learning course is designed for all those who are interested in learning AI and ML techniques in the big data domain and write intelligent applications.
The most common attendees of this course are Higher Management employees, Developers & Engineers starting work on AI and ML projects.
Curiosity to learn Artificial Intelligence and Machine Learning.
Abhijit Bakale
Mr. Abhijit is the brain behind our training modules, lab setup, and course materials at PyNet Labs. He plays a big role in making sure our training is practical, updated, and easy to follow. He is a Cisco Certified Systems Instructor (CCSI #35944) and also holds the highly respected DevNet Expert certification (#20230021). In total, he has earned 14 Cisco certifications, showing just how skilled and experienced he is. Mr. Abhijit has delivered over 20,000 hours of training and has helped thousands of students grow in their careers. His deep knowledge and teaching style make learning complex topics much easier. Recently, he was invited by Cisco DevNet to speak at a live webinar on Network Services Orchestrator (NSO), which shows the high level of trust and recognition he has in the networking world. With his vast experience and passion for teaching, Mr. Abhijit continues to inspire and guide learners every day.
Chirag Dhall
Mr. Chirag is a skilled and enthusiastic trainer at PyNet Labs. He has been with the company since the beginning and has played a key role in shaping many of our training programs. He delivers training for CCNA, CCNP ENCOR, CCNP ENARSI, CCIE Enterprise, Cisco SD-WAN, and other networking courses. He holds two top-level Cisco certifications—CCIE Enterprise Infrastructure (#68677) and CCSI (#36137)—which show his deep knowledge and teaching skills. So far, he has trained more than 3,500 students. Whether someone is just starting out or already working in the industry, Mr. Chirag is great at explaining tough topics in a simple and easy-to-understand way. His friendly teaching style and strong understanding of networking make him a favorite among students.
Sohel Japanwala
Mr. Sohel is a knowledgeable and dedicated trainer at PyNet Labs, with strong expertise in both Networking and Data Science. He has trained over 1,000 students, helping them build solid skills and confidence in their careers. He delivers training on CCNA, ENCOR, ENARSI, BGP, OSPF, MPLS, CCNP SCOR, FTD, and many other networking topics. Alongside this, he also teaches Data Science and Data Analytics, making him a well-rounded trainer with a unique mix of skills. Students appreciate Mr. Sohel for his friendly and supportive teaching style. Whether someone is just starting out or already working in the field, he makes complex topics simple and easy to understand. His clear explanations and dedication to student success have earned him a strong reputation.
Sudhangshu Bag
Mr. Sudhangshu Bag is a highly experienced trainer with over 9 years of expertise in the Networking field. His expertise are in CCNA, CCNP ENCOR, CCNP ENARSI, CompTIA, and Red Hat, making him a versatile and well-qualified instructor. In addition to Networking, he has strong skills in Linux, AWS, and computer networks, which add great value to his training sessions. So far, he has delivered more than 1,000 hours of training at PyNetLabs, helping students understand both the basics and advanced topics with ease. Mr. Sudhangshu is known for his calm teaching style, deep technical knowledge, and genuine passion for helping others learn. His students appreciate how he explains topics clearly and supports them throughout their learning journey.
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Q1. Is their any Cisco Certification for AI and ML?
Cisco will now offer a new elective for its CCDE (Cisco Certified Design Expert) certification focused on AI infrastructure validating the skills of experienced Network Engineers in designing data center networks that can handle the demanding needs of AI workloads.
The very first time, CCDE AI Infrastructure elective will be available for testing is on February 9, 2025 at Cisco Live.
Q2. Does AI/ML skills offer high-paying job roles?
Some of the common job roles you get after AI and ML Course are – Machine Learning Engineer, Data Scientist, AI Research Scientist, AI/ML Architect, and Computer Vision Engineer. And, yes, they are considered high-paying due to the specialized skills required and the growing demand for professionals in these fields.
Q3. How can AI and ML Training help me?
If you are a Network Engineer, this training will help you in:
Q4. Which Cisco products use AI and ML?
Cisco products that leverage AI and ML for enhanced network performance, security, and management include:
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