Artificial Intelligence
Artificial Intelligence (AI) technology has been gaining popularity in recent years. From robots serving food in restaurants to self-driving cars, these applications of artificial intelligence can be seen in our day-to-day lives. John McCarthy, an American computer scientist who coined the term artificial intelligence, defines this discipline as the science and engineering of making intelligent machines, especially intelligent computer programs.
Skills you will get
we will explore the top 10 skills of web developers or you can say the Importance of soft skills, that you must have to enlist yourself working for the top industry as a Full Stack Developer.
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Programming languages-Python
Python is especially popular due to its easy-to-learn syntax and extensive libraries for AI and machine learning. Knowledge of these languages is crucial for developing algorithms, implementing models, and working with data.
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Data modeling & engineering
Data is the foundation of AI, and AI engineers need to have a deep understanding of data modeling and engineering.
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Big data analysis
AI engineers should be able to analyze large sets of data and extract meaningful insights from them. This involves using big data tools such as SparkSQL, Apache Flink, and Google Cloud Platform to query and manipulate large datasets.
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Machine learning models
This includes understanding supervised and unsupervised learning techniques, as well as deep learning algorithms such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
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AI and ML services
AI engineers should also be familiar with cloud-based AI and machine learning services offered by major providers such as AWS, Azure, and Google Cloud Platform.
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AI Deployment & DevOps
AI engineers should know how to use tools such as Docker and Kubernetes for containerization, configuration management, and orchestrating deployments.
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AI security
Understanding and implementing strong data security and privacy measures is crucial for any AI engineer, as AI applications bring new security vulnerabilities.
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Neural network architectures
This involves knowing the different types of neural networks, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), their applications, and how to implement them.
Course program:
All course - 2-4 Months ( 30+ hours)rtificial Intelligence is a method of making a computer, a computer-controlled robot, or a software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.
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1st Month
15+ hoursTraining and development
You will trained on Introduction to Python, Python for Data Analysis, Introduction to Artificial Intelligence, Search and Problem-Solving in AI, Knowledge Representation and Reasoning, Planning and Decision Making, Introduction to Machine Learning, Supervised Learning, Intermediate Machine Learning.
15 Video Lectures, 3 Projects, 3 Tasks
Skills You Get: Python, Data modeling & engineering , Big data analysi, Machine learning models.
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2nd Month
15+ hoursTraining and Development
You will be trained on Unsupervised Learning, Introduction to Neural Networks and Deep Learning, Convolutional Neural Networks), Advanced Computer Vision I, Advanced Computer Vision II, Natural Language Processing, Robotics and Perception, Multi-agent Systems, AI in Practice.
10 Video Lectures,2 Projects, 2 Tasks
Skills You Get: AI security, DevOps, Computer Vision, Neural Networks, Supervised and Unsupervised Learning.
Personal Training
You will trained on interview, linkedin building, resume building & softskills sessions
5 Video Lectures, 1 Training Methodics, 1 Tasks
Skills You Get:Personal building
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3rd Month
5 hoursMinor Project
You will assigned to industry level minior project where it will covered in above 1st months modules.
1 Support Lecture
Skills You Get: Python, Data modeling & engineering , Big data analysi, Machine learning models.
Major Project
You will be assigned to a major industry level projects to work on which will be tought to you in above two months program.
1 Support lecture
Skills You Get: AI security, DevOps, Computer Vision, Neural Networks, Supervised and Unsupervised Learning, Project Presentaton Skills.
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OutComes:
After the final task and according to the results
Skill Development, Industry Certified Certificate, Job offers from our partnered Companies
What early learners say about this course
Course teachers
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Lokesh Reddy
Developer and Lead Instructor -
Bhargav
Web-developer, UX Architect -
Eswar sai
Cloud Architect -
Rochishna eli
Product-Project Management
Registration
The intensive course is now open, which starts on next batch. You will receive detailed information on admission by mail immediately after registration
Price: ₹ 7500/-
our consultant will contact you to clarify further details