The Artificial Intelligence Certification Course is a comprehensive, hands-on program designed to introduce learners to the core concepts and real-world applications of AI. This course covers the foundations of machine learning, deep learning, natural language processing, neural networks, and AI model deployment, empowering professionals to build intelligent systems that mimic human thinking and behavior.
Whether you're a data enthusiast, software developer, or IT professional, this course equips you with the knowledge and tools to thrive in the AI-powered digital economy.
Key Learning Outcomes:
- Understand the principles and scope of Artificial Intelligence
- Learn the difference between AI, Machine Learning, and Deep Learning
- Master Python-based AI development using libraries like TensorFlow, Keras, and OpenCV
- Build models for image recognition, text processing, speech understanding, and recommendation systems
- Gain practical experience in neural networks, supervised and unsupervised learning
- Explore ethical considerations, AI trends, and enterprise adoption
Artificial Intelligence Certification Modules Include:
- Introduction to AI and Intelligent Agents
- Machine Learning Algorithms (Supervised & Unsupervised)
- Deep Learning and Artificial Neural Networks
- Natural Language Processing (NLP)
- Computer Vision and Image Processing
- AI for Business and Automation
- Model Training, Testing, and Deployment
- Capstone Project with real-world use cases
From the course:
- Learn to write complex codes in MapReduce on both MRv1 & MRv2 (Yarn) and understand Hadoop architecture.
- Perform analytics and learn high-level scripting frameworks Pig & Hive.
- Get full understanding of Hadoop system and its advance elements like Oozie, Flume and apache workflow scheduler.
- Get familiar with other concepts: Hbase, Zookeeper and Sqoop.
- Get hands-on expertise in numerous configurations surroundings of Hadoop cluster.
- Learn about optimization & troubleshooting.
- Acquire in-depth knowledge on Hadoop architecture by learning about Hadoop Distribution file system (vHDFS one.0 & vHDFS a pair of.0).
- Get to work on Real Life Project on Industry standards.
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Architects and developers who design, develop and maintain Hadoop-based solutions
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Data Analysts, BI Analysts, BI Developers, SAS Developers and related profiles who analyze Big Data in Hadoop environment
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Consultants who are actively involved in a Hadoop Project
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Experienced Java software engineers who need to understand and develop Java MapReduce applications for Hadoop 2.0.
On successful completion of the course and course requisites, the candidate will receive Big Data Hadoop Developer Certification accredited by Ministry of Skill Development and Entrepreneurship, Govt. of India.
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