What is Artificial Intelligence?

Artificial Intelligence is the ability of machines to simulate human intelligence, including the ability to learn, reason, and solve problems. AI systems can be trained to recognise patterns in data, make predictions, and even understand natural language. There are two types of AI: narrow or weak AI and general or strong AI. Narrow AI is designed for a specific task, such as image recognition or voice recognition, while general AI can perform any intellectual task that a human can.

  1. Healthcare:
    AI is being used in various ways to improve healthcare. For example, it can help diagnose medical conditions more accurately, detect diseases at an early stage, and personalise treatments for individual patients. AI-powered robots are also being used in hospitals to perform surgeries with greater precision and speed.
  2. Finance:
    The finance industry uses AI to automate many processes, such as fraud detection and risk assessment. AI-powered chatbots are also being used to provide customer support and answer queries.
  3. Transportation:
    AI is being used to improve transportation in various ways. For example, self-driving cars are being developed to navigate roads without human intervention, and drones are being used for package delivery. AI is also being used to optimise traffic flow and reduce congestion.
  4. Education:
    AI is used to provide personalised learning experiences for students. AI-powered chatbots are also being used to provide instant feedback and answer questions.
  5. Retail:
    AI is used in the retail industry to improve customer experiences. For example, it can recommend products based on customer preferences and purchase history and provide personalised promotions and discounts. AI-powered robots are also used in warehouses to optimise inventory management and order fulfilment.
  6. Manufacturing:
    AI is used to optimise production processes and reduce costs. For example, it can predict equipment failures and proactively schedule maintenance. AI-powered robots are also being used to perform dangerous or difficult tasks for humans.

Why Artificial Intelligence?

The rise of AI has led to the development of more intelligent machines that can perform tasks faster and more accurately than humans. This has significantly improved various industries, including healthcare, finance, and manufacturing. AI has also enabled automation of repetitive tasks, freeing up time and resources for more complex work.
One of the most significant advantages of AI is its ability to analyse large amounts of data quickly and accurately. This has led to the development of predictive analytics, which can help businesses make better decisions based on data-driven insights. For example, AI can help businesses predict customer behaviour, identify market trends, and improve customer experiences.
AI has also made significant strides in the healthcare industry. AI-powered systems can improve patient outcomes and reduce healthcare costs from diagnosis to treatment. For example, AI can help doctors diagnose diseases more accurately and identify the most effective treatments based on the patient's genetic profile. Additionally, AI can help healthcare providers predict the risk of hospital readmissions and improve patient care.

Artificial Intelligence Course Highlights

  • 160+ Hours Live Instructor-Led Sessions 

  • Exclusive Training by Softronix Instructor 

  • Focus on Job-Readiness Throughout the Program 

  • Cloud Labs-Enabled Learning Content 

  • Practical Experience Through Real-World Projects  

  • Structured, Industry-Validated Curriculum 

  • Hackathons, Mock Interviews, and Much More! 

Future Prospects of Artificial Intelligence?

benefits of Java Full-Stack Development

The future of AI is exciting, with endless possibilities for innovation and growth. AI has the potential to transform the way we live and work, from autonomous vehicles and smart homes to personalised medicine and intelligent robots; according to a report by Grand View Research, the global artificial intelligence market is expected to reach $733.7 billion by 2027, growing at a CAGR of 42.2% from 2020 to 2027.
As AI continues to evolve, the demand for skilled professionals in the field is expected to grow. LinkedIn's Emerging Jobs Report shows that AI specialist roles have grown 74% annually over the past four years. This growth is expected to continue, with companies across industries investing in AI to drive innovation and stay competitive.

Gain multiple skills readily adaptable across the full stack

Go

Softronix Advantage

The most effective project-based immersive learning experience

Immersive Learning

immersive-learning
  • On-demand learning videos
  • Guided hands-on exercises
  • Auto-graded assessments, recall quizzes
  • Capstone projects and assignments

Learn by Doing

learn-by-doing
  • Learn to code by actually coding
  • Practice your code on Cloud Labs
  • Write code right in your browser
  • Get project-ready with work-like experiences

Real-Time Insights

  • Get advanced learner-centric insights
  • Track the progress of your skills
  • Identify key learning areas to improve on
  • Measure and benchmark skills progression

Outcome-Focused

outcome-driven-learning
  • Mock Interviews with personalized feedback
  • Interview prep support with coding challenges
  • Mentorship by Softronix experts
  • Career coaching, dedicated placement support

Kickstart Your Dream Career

Your Path to Becoming a Skilled Artificial Intelligence ? Developer

 image

Softronix Artificial Intelligence Courses

Artificial Intelligence MVC :  This course covers the basics of ASP.NET MVC (Model-View-Controller) architecture and teaches students how to build dynamic, data-driven web applications.


Artificial Intelligence Web API :  This course focuses on building RESTful APIs using ASP.NET Web API. Students will learn how to create secure, scalable APIs that other applications can use.


Artificial Intelligence Core :  This course is designed for developers who want to build cross-platform web applications using ASP.NET Core. Students will learn how to build web applications on Windows, macOS, and Linux.


Artificial Intelligence with React :  This course combines ASP.NET with Angular, a popular front-end JavaScript framework. Students will learn how to build single-page applications using ASP.NET and Angular.


prerequisites for Java Full-Stack Development

Prerequisites

  • There are no prerequisites to attend this .
  • The right aptitude, logical thinking, and drive for curiosity are all you need. Leave the rest to us!

Artificial Intelligence: Unlocking the Potential of the Future

Artificial intelligence (AI) has become an essential part of our daily lives, whether we realise it or not. From smartphones and search engines to virtual assistants and self-driving cars, AI has revolutionised how we live, work, and interact with the world. As a result, AI has become one of the most in-demand fields in the tech industry, with a growing need for professionals who can create and develop AI-powered solutions. Softronix, an industry leader in technology training, recognises the importance of AI and offers courses to help individuals and businesses unlock the potential of this exciting field.

Who Should Attend the Artificial Intelligence Developer

Students

Novices

Developers

IT Industry Professionals

Professionals in a tech adjacent role

Professionals from any industry

Freshers

Upcoming Batches

S. NO Batch Time Start Date Duration Online/Offline Remind Me
1 10am-12pm 1 May 2023 2 months Online
2 2pm-4pm 15 June 2023 3 months Offline
3 6pm-8pm 1 July 2023 1.5 months Online

Our Facts and Figures

Artificial Intelligence is an easy-to-learn and versatile programming language that can make you an ace. join now and enhance your career with Softronix' Artificial Intelligence Course.

70 +

Classroom

130000 +

Successful Career made

90+

Total Mentors

280 +

Online/Offline Courses

Frequently Asked Questions

Our Artificial Intelligence course curriculum is designed to cover all the essential concepts and techniques of AI, including machine learning, deep learning, neural networks, natural language processing, and computer vision. Students will also gain hands-on experience working with popular AI tools and platforms like TensorFlow, Keras, and PyTorch.

While there are no specific prerequisites for enrolling in the Artificial Intelligence course, students must have a strong foundation in mathematics, including linear algebra, calculus, and probability theory. Prior programming experience in Python or another programming language is also recommended.

Numerous career opportunities are available for those who complete our Artificial Intelligence course, including AI engineer, data scientist, machine learning engineer, AI researcher, and many others. These roles are in high demand and offer competitive salaries and professional growth and development opportunities.

Our Artificial Intelligence course is instructor-led, with live online classes conducted by experienced and knowledgeable AI experts. Students will also have access to recorded class sessions, study materials, and assignments that can be completed at their own pace.

Experience

To succeed in AI, you need experience with programming languages like Python, machine learning algorithms, data analysis and manipulation, natural language processing (NLP), and computer vision. A degree in a related field like computer science, mathematics, or statistics is helpful, as is experience with big data and cloud computing technologies.

As an AI language model, I don't have direct experience in working on AI projects. However, common AI projects include developing chatbots for customer service, training image or speech recognition models, and building predictive models for healthcare or financial industries.

Common ethical considerations in AI include data privacy and security, algorithmic bias, transparency and explainability of AI models, and the impact of AI on employment and social inequality. It is important for AI professionals to be aware of these issues and work to mitigate any negative impacts.

To stay up-to-date, AI professionals attend industry conferences, read research papers, and participate in online communities and forums. They also experiment with new technologies and contribute to open source projects. It is important to continually learn and adapt to stay current in the fast-paced field of AI.

Softronix Trending Courses