E&ICT IITG Courses

Explore E&ICT IITG courses for comprehensive training in Electronics and Information & Communication Technology. Elevate your skills with us.

Data Science training provides individuals with the skills and knowledge necessary to excel in data analysis and interpretation. The training typically covers topics such as statistics, programming languages, machine learning algorithms, data visualisation, and data manipulation techniques.

Machine learning is a subset of artificial intelligence that focuses on developing algorithms and statistical models to enable computer systems to learn from data and improve their performance on specific tasks without being explicitly programmed.

Our Artificial Intelligence Training offers a comprehensive overview of cutting-edge AI technologies and applications. From machine learning algorithms to natural language processing and computer vision, this program equips you with essential AI skills.

The Cloud Architect Master Program is a comprehensive journey into the world of cloud technology. Over 132 hours, participants will delve into cloud infrastructure design, security, networking, migration, and much more.

The DevOps training program is a comprehensive course that offers practical, hands-on experience with various DevOps tools, including Git, Jenkins, Docker, Ansible, Terraform, Kubernetes, Prometheus, and Grafana.

The Digital Marketing Training offers comprehensive instruction in various vital aspects of digital marketing, including Keyword Planning, SEO, Search Engine Marketing, Email Marketing, Affiliate Marketing, Social Media Marketing, and Google Analytics.

In this Python course, you will be exposed to both the basic and advanced concepts of Python such as Machine Learning, Deep Learning, Hadoop streaming, and MapReduce, and you will work with packages such as Scikit and SciPy

Trending Courses

E&ICT IITG is a premier institution known for offering industry-oriented programs. Its affiliation with IIT Guwahati ensures top-quality education and recognition.

A PG Diploma in DevOps equips you with skills for efficient software development and operations, including automation, continuous integration, and deployment.

The program offers in-depth Python training, a versatile language extensively used in web development, data analysis, machine learning, and automation.

This course covers advanced marketing strategies, data analytics, and performance optimization, making you a proficient digital marketing professional.

The program covers data analysis, machine learning, and data visualization, preparing you for roles like Data Scientist, Analyst, or AI Engineer.

The course covers cloud fundamentals and platforms like AWS, Azure, and Google Cloud, making you proficient in cloud technology.

The program provides hands-on AI training, including deep learning and natural language processing, preparing you for AI-related roles in various industries.

The course covers machine learning algorithms, model building, and applications. While prior experience is beneficial, the course caters to learners with varying backgrounds.

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Vijay Kumar
Vijay Kumar
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The personalized feedback and hands-on learning have significantly improved our data analysis skills. A must for any company looking to upskill their employees
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An incredible learning experience! The perfect balance between theory and practice helped me master Selenium for web automation.
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The Selenium online course was exceptional. The instructors' knowledge and well-structured material made learning a breeze. Our team now excels in automated testing!
Srinivas Rao
Srinivas Rao
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I'm blown away by the AWS online course! It provided a comprehensive overview and hands-on experience with various tools.
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The instructors were helpful, and interactive sessions helped me grasp complex concepts quickly. Highly recommended for enhancing AWS skills
Data Analytics Webinar
Digital Marketing - Webinar
Data Analytics, Data Analytics certification course
Data Analytics - Webinar
Java Full Stack - Webinar
Python Full Stack
Python Full Stack - Webinar