NAVTTC New Free Artificial Intelligence Course 2024-25.

So, be ready to apply to NAVTTC training programs before the last date of registration.

In this article on NAVTTC free courses 2024-25, we will explore Artificial Intelligence (Machine Learning; Deep Learning; Communication) Educational Course training. You will find the following information in this blog:

• Introduction to the Qlik training and educational course
• Average Salary
• Eligibility Criteria
• Job opportunities on different platforms
• The importance of this course
• Job opportunities
• Career path

INTRODUCTION

Artificial Intelligence (AI) is changing the way we live and communicate. At its core are machine learning and deep learning, which help computers learn from data and make smart decisions on their own. This technology is making our interactions smoother, whether it’s through better language translation or helpful virtual assistants. As AI continues to evolve, its impact on communication is significant, holding the promise of improving how we connect with each other and the world around us, creating new opportunities for enhancing our everyday lives.

Average Salary

PKR 75,000 to 225,000 per month

What is the eligibility criteria for NAVTTC Artificial Intelligence (Machine Learning; Deep Learning; Communication) Educational Course?

• Age: 18-40
• Minimum qualification:
  • Bachelors in IT
  • Bachelors in CS
  • Bachelors in SE
  • Bachelors in MIS
  • Bachelors in Math

Eligibility for BTech in AI courses typically requires passing 10+2 with Physics, Chemistry, Mathematics, and Computer Science as major subjects.

Job opportunities on different platforms

According to the data of October 16,2023 jobs offered at international platforms are as follows:

• LinkedIn: 80 jobs in Pakistan and 10000+ jobs in the USA.
• Indeed: 164 jobs in Pakistan and 8000+ jobs in the USA.
• Glassdoor: 138 jobs in Pakistan and 7263+ jobs in the USA.

Top 10 reasons to join NAVTTC Artificial Intelligence course;

Here are the top 10 reasons to join the NAVTTC Phase 5 Course in Artificial Intelligence, focusing on

1. In-Demand Skills: Gain expertise in in-demand AI technologies across various industries to boost your employability.
2. Comprehensive Curriculum: Learn the fundamentals and advanced concepts of machine learning and deep learning, providing a solid foundation for your career.
3. Hands-On Experience: Engage in practical projects and real-world applications that help solidify your understanding of AI concepts.
4. Expert Instructors: Benefit from experienced trainers who can provide valuable insights and mentorship throughout your learning journey.
5. Networking Opportunities: Connect with fellow students, industry professionals, and potential employers, building a valuable network for your career.
6. Career Advancement: Equip yourself with skills that can lead to various roles in tech, such as data scientist, AI engineer, or machine learning specialist.
7. Flexible Learning: Enjoy a course structure that accommodates different learning styles and paces, making it easier to balance studies with other commitments.
8. Industry-Relevant Tools: Familiarize yourself with the latest AI tools and technologies currently used in the field to prepare for real-world challenges.
9. Certification: Earn a recognized certification upon completion, which can enhance your resume and open doors to new job opportunities.
10. Future-Proof Your Career: Stay ahead in the rapidly evolving tech landscape by mastering AI, ensuring your skills remain relevant in the job market.

Joining the NAVTTC New Free Artificial Intelligence Course 2024-25 is a valuable step towards a successful career in one of the most exciting fields today!

Job opportunities for Artificial Intelligence course;  

• AI product manager. An AI product manager is similar to other product managers. …
• AI research scientist. …
• AI ethics officer. …
• Cybersecurity analyst with AI expertise. …
• Computer vision engineer. …
• Data scientist. …
• Smart home designer. …
• AI customer experience specialist.

Career Path

Here’s a simple breakdown of career paths you can take after studying Artificial Intelligence, focusing on Machine Learning, Deep Learning, and Communication:

1. Machine Learning Engineer: Build and improve algorithms that help computers learn from data.
2. Deep Learning Engineer: Create advanced models using neural networks for tasks like image and voice recognition.
3. Data Scientist: Analyze data to help businesses make smart decisions based on trends and insights.
4. AI Research Scientist: Conduct research to develop new AI technologies and improve existing ones.
5. Natural Language Processing (NLP) Engineer: Work on applications that help computers understand and process human language, like chatbots.
6. AI Communication Specialist: Help explain AI concepts to non-technical people and ensure teams work together effectively.
7. Business Intelligence Analyst: Use AI to analyze data and provide recommendations for business strategies.
8. Robotics Engineer: Develop smart robots that can perform tasks autonomously using AI.
9. AI Product Manager: As an AI Product Manager, you oversee the creation of AI products, ensuring they meet user needs and are delivered on time.
10. AI Ethics Consultant: Advise companies on how to use AI responsibly and ethically.

These roles combine technical skills with communication, making them essential in the growing AI field!

FAQs

Is it necessary to learn deep learning for machine learning?

It all depends on your end goal, if you want to experience the power of modern computer then go for Deep learning, but in DL you need some basic machine learning concepts. If you want to know how machines predict the weather or make their own artificial intelligence, then learn ML.

Are AI machine learning and deep learning common terms?

Artificial intelligence, machine learning, and deep learning are often used synonymously when discussing all things AI. While the terms are correlated, they are not interchangeable. Whereas AI is a broad field, machine learning is an application of AI that allows machines to learn without being specifically programmed.

Is artificial intelligence part of deep learning?

Deep learning is a method in artificial intelligence (AI) that teaches computers to process data in a way that is inspired by the human brain. Deep learning models can recognize complex patterns in pictures, text, sounds, and other data to produce accurate insights and predictions.

Can I learn machine learning without experience?

Artificial intelligence (AI) and machine learning (ML) are transforming industries and creating new opportunities every day. If you’re passionate about entering this exciting field but have no prior experience, don’t worry—you can absolutely get there with determination and the right approach.

The NAVTTC Advanced Programming/Coding program for 2024-2025 is a great opportunity to learn essential coding skills and advanced problem-solving techniques. You can take this course at Adan IT Center in Gujrat or Islamabad, both of which are affiliated with NAVTTC. This means you’ll get professional support and training to help you succeed. By joining Adan IT Center, you’ll gain hands-on experience, learn in-demand skills, and receive a government-recognized certification, setting you up for a bright future in software development. It’s a fantastic way to kickstart your career in the tech world!

AUTHOR

HIBA ARIF