Python

Category: Skill Based Roadmaps

Description: Master Python programming, a versatile language used for web development, data analysis, and machine learning.

Duration: 3h 41m

Java

Category: Skill Based Roadmaps

Description: Learn Java, a robust, object-oriented language ideal for building platform-independent applications.

Duration: 5h 15m

Vue

Category: Skill Based Roadmaps

Description: Explore Vue.js, a progressive JavaScript framework for building user interfaces and single-page applications.

Duration: 4h 40m

Docker

Category: Skill Based Roadmaps

Description: Understand Docker, a platform for developing, shipping, and running applications in isolated containers.

Duration: 4h 2m

Angular

Category: Skill Based Roadmaps

Description: Dive into Angular, a powerful framework for building dynamic web applications with TypeScript.

Duration: 3h 50m

Frontend

Category: Role Based Roadmaps

Description: Learn to design and implement visually appealing and user-friendly web interfaces using HTML, CSS, and JavaScript.

Duration: 31h 11m

Backend

Category: Role Based Roadmaps

Description: Master server-side development, focusing on databases, APIs, and server logic to build robust web applications.

Duration: 20h 43m

DevOps

Category: Role Based Roadmaps

Description: Explore DevOps practices, including continuous integration, deployment, and infrastructure automation for streamlined development processes.

Duration: 4h 39m

FullStack

Category: Role Based Roadmaps

Description: Gain expertise in both frontend and backend development to build complete, end-to-end web applications.

Duration: 12h 58m

Software Architect

Category: Role Based Roadmaps

Description: Learn to design high-level software architecture, ensuring scalability, performance, and maintainability of complex systems.

Duration: 1h 15m

Introduction to AI

Category: AI

Description: Explore the history, fundamentals, and diverse applications of Artificial Intelligence across various industries.

Duration: 5h 39m

Maths and Statistics for AI

Category: AI

Description: Master essential mathematical and statistical concepts crucial for understanding and developing AI algorithms.

Duration: 2h 21m

Machine Learning

Category: AI

Description: Learn the principles, techniques, and evaluation metrics of supervised and unsupervised machine learning models.

Duration: 1h 30m

Deep Learning

Category: AI

Description: Dive into neural networks, architectures, and advanced techniques for creating powerful AI models.

Duration: 4h

Natural Language Processing

Category: AI

Description: Understand and implement NLP techniques for text preprocessing, sentiment analysis, and language modeling.

Duration: 4h 45m

AI Ethics

Category: AI

Description: Examine the ethical considerations, bias, transparency, and societal implications of AI technologies.

Duration: 2h 45m

(AI) Practics and Projects

Category: AI

Description: Apply AI concepts in practical projects with real-world applications.

Duration: 2h 39m

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Overview of different IT careers


Description


Artificial Intelligence (AI) is revolutionizing industries by enabling machines to perform tasks that typically require human intelligence. This includes designing algorithms and models that allow computers to learn, reason, and make decisions. Machine learning, a core aspect of AI, trains models to identify patterns and make predictions based on data. Natural language processing (NLP) enables machines to comprehend and interact with human language, leading to advancements like chatbots and language translation services. Computer vision allows machines to interpret and understand visual information, crucial for technologies such as facial recognition and self-driving cars. Robotics combines AI to create smart machines capable of performing complex tasks in fields like manufacturing and healthcare. AI researchers focus on theoretical advancements, while AI engineers apply these theories to develop practical applications. Ethical AI specialists work to ensure the responsible development and use of AI, addressing concerns like bias and privacy. These roles illustrate just a few of the diverse career paths in AI, each with its own set of specialized skills and knowledge needed to innovate and advance this rapidly growing field.