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Artificial Intelligence Learning Path: How to Build a Career in AI

Artificial Intelligence Career Paths Course

Introduction

The last few years have been nothing short of revolutionary for artificial intelligence. What once felt like futuristic innovation—chatbots, digital assistants, self-learning algorithms—is now a part of our everyday lives. And in 2025, AI is not just evolving; it's accelerating.

The world is witnessing an AI boom. As technologies like natural language processing (NLP), machine learning, robotic process automation, and generative AI continue to advance, the demand for skilled AI professionals has outpaced supply. According to a recent Statista report, the global AI market is projected to reach $126 billion by the end of 2025, creating immense opportunities across industries.

If you're wondering:

Why should I become an AI professional?
What’s the future scope of the artificial intelligence career path?
What skills and tools should I master?
What courses or certifications should I pursue?
How much can I earn as an AI expert?

You're in the right place.

This blog is your complete AI learning path for 2025 and beyond. We’ll guide you through the foundations of AI, key job roles, must-have skills, learning phases, recommended tools and certifications, and what your career in AI could look like. Whether you're just starting out or planning your next career move, this roadmap will help you take confident steps into the world of artificial intelligence.

A Quick Glance: What Is Artificial Intelligence?

Artificial Intelligence (AI) is the field of computer science focused on building smart systems capable of performing tasks that typically require human intelligence—such as learning, reasoning, decision-making, and language understanding.

In simpler terms, AI enables machines to analyze data, recognize patterns, and make autonomous decisions, often with greater speed and accuracy than humans.

Want a deeper understanding of AI? Explore our full blog on What is Artificial Intelligence?

Why AI Matters for Your Career in 2025

AI is no longer a buzzword—it’s a foundational technology behind innovations like:

Chatbots and virtual assistants
Predictive analytics
Autonomous vehicles
AI-powered healthcare diagnostics
Fraud detection systems

These applications are reshaping industries, which is why AI professionals are in high demand. Whether you're planning to become a data scientist, AI engineer, or machine learning specialist, building the right AI skills can future-proof your career.

The Benefits of Learning AI

Learning AI in 2025 offers you:

High-paying career opportunities
Future-proof skillsets in automation and data science
Creative and impactful roles that shape the future of technology
Global demand across healthcare, finance, manufacturing, and more

Are There Risks in AI?

Yes, like any technology, AI has limitations:High development and maintenance costs

Ethical concerns around bias, transparency, and automation
Dependency risks, where over-reliance on AI may reduce critical human oversight

However, learning AI also means learning how to design ethical and responsible AI systems, which is a vital part of modern AI careers.

Artificial Intelligence Career Path

The ever-developing field of AI is full of exciting career opportunities. Everyday it brings a new challenge and opportunity for professional progress. In this section, we examine how to get into artificial intelligence career, the skills and qualifications required start a career in this field:

Step 1: Earn a Bachelor's Degree

Before you go for any specific artificial intelligence course first, finish your graduation with a four-year engineering course like B.Tech (Bachelor of Technology) in AI, or opt for a three-year B.Sc. (Bachelor of Science) course. Here, you can also opt similar branches such as IT or computer science and choose AI as a specialisation in combination with machine learning and data science. Having graduation degree with science subjects will help you gain a good knowledge base for your further studies. Additionally, you may have to qualify the JEE to gain admission to top engineering colleges like NITs, IITs, and IIIT, Hyderabad.

Step 2: Go for a Postgraduate Degree

Although it is not always required, having a master's degree in the related field will help you enhance your skill set, make yourself more employable for AI engineering positions and also boost your earning potential. Post-graduation degree provides you in-depth knowledge of the subject and niche technical skills as any specific artificial intelligence course does.

Step 3: Pursue Certifications

The next step on AI career path is to pursue certification certification courses or diploma courses related to AI. Here, you have two options – either you can go for a graduate or post-graduate diploma in AI and machine learning or you can choose a specific artificial intelligence course. There are number of websites offerings online certification program that you can complete at your pace.

Step 4: Apply for Jobs

After you have worked enough on your skills, finished artificial intelligence course and gained hands-on experience in the field, you can start applying for jobs related to the AI, machine learning and deep learning. There is a wide range of job positions in this field including data scientist, AI specialist, data analyst, machine learning engineer, and robotics engineer. Apply for entry-level jobs and start building your skills to advance to higher positions.

Exploring the AI Career Path: Roles, Responsibilities & Salary Potential

The field of AI is not limited to a single job title. It offers a flexible, scalable career graph that can start with a foundation in programming or data and grow into leadership or research roles. Below is an overview of popular profiles in the AI domain, along with their typical responsibilities and average salary ranges (based on 2025 estimates in the U.S. job market):

1. AI Engineer / Machine Learning Engineer

Role Overview:
This is one of the most in-demand roles in the AI space. AI Engineers develop, train, and deploy machine learning models and algorithms that power intelligent systems.

Key Skills: Python, TensorFlow, PyTorch, Scikit-learn, ML Ops, APIs
Salary Range: $110,000 – $160,000 per year

2. Data Scientist

Role Overview:
Data Scientists work at the intersection of data analysis, statistics, and machine learning. They interpret large data sets, build predictive models, and help organizations make informed decisions.

Key Skills: Python/R, SQL, Tableau, Data Wrangling, Model Evaluation
Salary Range: $100,000 – $150,000 per year

3. NLP (Natural Language Processing) Engineer

Role Overview:
NLP Engineers specialize in building language-based AI applications like chatbots, sentiment analysis tools, and voice assistants. They work with linguistic data and machine learning models.

Key Skills: NLTK, spaCy, Transformers, Large Language Models (LLMs)
Salary Range: $115,000 – $170,000 per year

4. Computer Vision Engineer

Role Overview:
Focused on enabling machines to understand and interpret visual inputs such as images and videos, Computer Vision Engineers work on facial recognition, object detection, autonomous systems, and more.

Key Skills: OpenCV, TensorFlow, CNNs, Deep Learning, Image Processing
Salary Range: $110,000 – $165,000 per year

5. AI Product Manager

Role Overview:
AI Product Managers bridge the gap between technical teams and business goals. They define the roadmap for AI-based products, manage cross-functional teams, and ensure product-market fit.

Key Skills: Product Strategy, Agile Methodology, AI Concepts, Market Research
Salary Range: $120,000 – $160,000 per year

6. AI Research Scientist

Role Overview:
Research Scientists in AI focus on cutting-edge developments, publishing papers, building next-gen models, and contributing to open-source innovations in deep learning, generative AI, and reinforcement learning.

Key Skills: Advanced Mathematics, Deep Learning, Research Methodology, Python
Salary Range: $130,000 – $180,000 per year

7. AI Quality Analyst / Tester

Role Overview:
AI QA professionals ensure that machine learning models are accurate, ethical, and reliable. They evaluate algorithms, test models for performance, and validate outcomes using AI testing tools.

Key Skills: Test Automation, Model Validation, Data Quality Assessment
Salary Range: $85,000 – $120,000 per year

8. AI Ethics & Policy Analyst

Role Overview:
As AI becomes more prevalent, ethical implications are gaining attention. Professionals in this field design ethical frameworks, assess AI risks, and ensure compliance with regulations.

Key Skills: AI Governance, Data Privacy, Policy Design, Fairness and Bias Analysis
Salary Range: $90,000 – $135,000 per year

Career Growth Beyond the Basics

What makes the AI learning path truly powerful is its adaptability. You can start as a Python developer or business analyst and transition into AI with the right certifications and project exposure. Over time, professionals can move into leadership roles such as Chief AI Officer, AI Solutions Architect, or Director of Machine Learning, managing AI strategy across entire organizations.

What is the Market Demand for an Artificial Intelligence Engineer?

Artificial intelligence has been marked as one of the fastest growing industries with an influx of various career opportunities, ML Engineer (344%) Robotics Engineer (128%), Computer Vision Engineer (116%), and Data Scientist (78%) have seen a surge from the last year as per the data by Indeed.

Below are some stats showing the market demand for AI professionals. It is very useful for those already working in AI or who are planning to pursue an artificial intelligence course and make career in this field.

As of 2025, the Artificial Intelligence market continues its rapid ascent across industries worldwide. According to the latest forecast by MarketsandMarkets, the global AI market is expected to reach USD 190 billion this year, driven by demand in automation, predictive analytics, and AI-powered business tools.
In terms of adoption and investment, IDC reports that global spending on AI systems is projected to surpass USD 110 billion in 2025, nearly doubling compared to recent years, with enterprises focusing on use cases such as intelligent process automation, recommendation engines, and fraud analysis.
Meanwhile, Gartner estimates that AI technologies will generate over USD 4.5 trillion in business value globally by the end of 2025—demonstrating not just the financial promise of AI, but also the critical role it plays in shaping the future of digital transformation.

With the above states and data, it is clear that there is a huge career opportunities in AI. But before you begin your journey with an artificial intelligence cours and required skillset, let’s first understand what exactly an AI engineer does on their day to day activity.

Roles & Responsibilities of an Artificial Intelligence Engineer

AI engineers plays a significant role in developing new applications and system to utilize AI in the busines operations. Here is list of major roles and responsibilities of Artificial Intelligence engineer:

To set up and reach the business by taking advantage of different techniques related to the AI reasoning and uncertainty.
Implement logic, probability analysis, and machine-learning concepts on initiative related to problem-solving.
Analyze systems to monitor and control development projects effectively.
Take advantages of the best practices related to AI to applications in speech recognition, data processing, data mining, and robotic control.
Do statistical analysis and come up with the output and help organization to make better-informed decisions
Build and maintain AI development and product infrastructure
Transform machine learning models into application program interfaces so that other applications can use them
Create AI models from scratch and supports others in understanding the expected results

Well, certain things come in mind when we go through the role & responsibility of an AI engineer. However, the exact job role depends upon the level of expertise an AI engineer holds. Here, pursuing an artificial intelligence course will help you prepare for future. There are many options in artificial intelligence course online as well as offline to choose.

But before we get into the specific courses and training available for AI engineers, let’s first briefly explore the prerequisite needed to be an AI professionals so that you can get a better idea about what skills and qualification you should have to make yourself an ideal fit for AI related jobs.

Prerequisite Needed to be an AI Engineer

Next comes acquiring the right set of skills, certifications and qualifications to get into the AI industry. It is to note that becoming an AI engineer does not only need you to be exceptionally excellent in programming languages but you also need to be efficient in the software development tools and techniques, both theoretically and practically. Additionally, you should have a solid understanding of software development, solid approache toward driving different testing practices and technical educational background.

Below we have explained the required educational background and skillset to become a successful AI professionals in brief. Let’s go through –

Educational Background to Become an Artificial Intelligence Engineer

You should have an in-depth understanding of various mathematical concepts like statistics, algebra, calculus, logic, algorithms etc. You should have the basic idea of neural networks and graphical modeling too.
If you have studied Physics, Engineering or robotics then it would be an added advantage for your career growth. The basic knowledge of programming language, computer science, and coding is also essential.
With the hands-on expertize in artificial intelligence tools you are free to apply for various career domains including – Private sector, Public sector, education sector, arts, Healthcare, government agencies, or the military department. You can seek a successful career in any of the domains as mentioned above.

Skills Required to Become an Artificial Intelligence Engineer

So, now that we’ve detailed the educational qualification and artificial intelligence course required to ensure success in AI engineer career path, let’s discuss the hard and soft skills usually required in most positions. Although, the skills needed for AI professionals may vary as per the specific job, following are some major skills that AI engineers should be proficient:

Technical Skills

Professionals who are looking for artificial intelligence career path, these are the technical skills required in this field:

Mathematical skills: It is a mandatory skill for AI engineers. AI engineers are responsiblee for building AI models through algorithms that completely depend on statistics, algebra and calculus. Besides, they also need to have some understanding with some of artificial intelligence's most common machine learning models.

Programming skills: You do not need to be expert in any language, but gain some understanding of popular programming languages such as C++, Java and Python. As an AI engineer, you might be using these programming languages to develop and deploy your AI models.

Linear Algebra, Probability, and Statistics: Another skill to ensure you success at artificial intelligence career paths is understanding and implementing different AI models—like Hidden Markov models, Naive Bayes, Gaussian mixture models, and linear discriminant analysis. Having detailed knowledge of linear algebra, probability, and statistics is mandatory here.

Spark and Big Data Technologies: As an AI engineer, you will need to work with large volumes of data, which could be streaming. To do this, you should be aware of Spark and other big data technologies. Along with Apache Spark, you also need to work on the big data technologies, like Hadoop, Cassandra, and MongoDB.

Algorithms and Frameworks: Get some hands-on experience how machine learning algorithms such linear regression, Support Vector Machine, and others work , it is important for you to implement machine learning models with ease. Besides, you should have knowledge of deep learning algorithms and implement them through a framework.

Soft Skills

Analytical skills
Business intelligence
Communication skills
Collaboration skills
Critical thinking capability

AI Certification Details: How AI Certifications Boost Your Career in 2025

In today’s fast-evolving tech landscape, AI certifications are more than just credentials—they are critical stepping stones to a successful career in artificial intelligence. As AI technologies continue to impact nearly every industry, employers are looking for professionals with validated, real-world skills in AI, machine learning, and data-driven decision-making.

Whether you're just beginning your journey or seeking career advancement, earning an AI certification equips you with the tools and credibility needed to stand out in a competitive job market.

Why Should You Pursue an AI Certification?

Structured Skill Development – Certifications follow a proven curriculum designed to help you gain core AI competencies, from basic programming to complex algorithm design.
Hands-on Learning – Most certification programs include projects and assignments that replicate real-world AI applications using tools like Python, TensorFlow, or PyTorch.
Career Advancement – AI certifications enhance your job-readiness and help bridge the gap between academic knowledge and industry expectations.
Professional Credibility – Hiring managers often prioritize candidates with formal training and certification in AI technologies.
Faster Role Transition – Certifications can accelerate your shift into high-demand roles such as AI Engineer, Machine Learning Specialist, Data Scientist, and NLP Expert.

What are the applications of Artificial Intelligence?

Here, we will discuss a few apps of Artificial Intelligence and machine learning and why they are taken so effective in our daily life.

1). Virtual Assistant

Almost every organization collects a huge amount of data from a variety of sources to get an accurate idea of users. One could be more effective and accurate in tracking the customer details when implementing AI algorithms.

2). Mobile Games

Generally, artificial intelligence is the foundation for every video game you are playing on television on your mobile phone. This is the best example that can be learned by the user how artificial intelligence has become a part of our daily life these days.

3). SIRI

The AI technology is also used by SIRI users too. They are utilizing AI to understand the various natural language questions and the requests.

4). TESLA

If you are a car lover then TESLA is something you should not miss out at all. This is the best automobile example available so far in the technical space.

There are similar a plenty of examples of artificial intelligence apps that you can study for your reference and get an idea of why Artificial Intelligence is getting so popular among aspiring minds.

If you are still not sure about the AI career path, check this Beginner Guide To Artificial Intelligence for better understanding.

What are the different roles in artificial intelligence Career?

Here are the different roles for artificial intelligence engineer that you can apply for a successful career and get your dream job in MNCs eight away.

You can apply for the role of software analyst and the developer.
You can apply for a computer scientist role or an AI engineer.
You could be an algorithm specialist too if you love challenges.
If you can study more, then the research scientist or engineering consultant is the right profile for you.
The next popular role is the mechanical engineer and the maintenance engineer.
You can also apply for the job profile of manufacturing or electrical engineers.
With hands-on experience in robotics tools, you can enter the world of robots and get a huge salary package right away.
The military department is also the ultimate choice for aspiring career growth in the future.

The Future Scope of Artificial Intelligence

Artificial Intelligence is used by a number of Companies daily for its benefits. This is true that artificial intelligence has touched our lives in different aspects at a breakneck speed. With this progress, there arise a few questions in mind.

Is it possible that artificial intelligence can outperform the human performance?
If yes, then how much time can be taken for the same?
Obviously, when artificial intelligence would be able to perform better without any human intervention.

Based on the survey, when it comes to translation them machines can always perform the best as compared to humans. If we talk about the retail sector then it will completely outperform humans by the next 20 years. There are chances that artificial intelligence can grow but it will take time certainly. Companies shave already started spending a huge amount to realize the actual benefits of artificial intelligence and it will succeed surely in the near future too.

If we will look around then artificial intelligence is available in every sphere of life. It is used to organize the big data into interesting patterns and structures. Also, it helps in the neural network, data analytics, or machine learning etc. AI was started in the 80s and from that time it has become a part of our life somehow that hard to believe too. With the passage of time, everything was trusted and accepted by humans. Further, it proposed a lot of business opportunities too for organizations that were an interesting achievement.

Here are the few steps to ensure the business stays relevant to the AI revolution:

If you are not ready to adopt artificial intelligence right now then keep checking how others are leveraging AI and taking benefits from the same.
The artificial intelligence implementation is not easy but demands handful resources that will help you positively. For example, a machine learning system is started by the Google i.e. Tensor Flow and open source in nature.
If you want that the team should be more engaged then artificial intelligence needs to be deployed. It will help you in deriving meaningful insights from existing data and makes any organization more productive too.
To move ahead, this is necessary to focus on objectives and learn how to find the solution for complex business problems. Here, artificial intelligence helps a lot and explains to you how to build a solution from scratch.
Before you maximize the business values with artificial intelligence, make sure that your current business processes are working in the best way and aligned properly.
The team collaboration is the next major requirement for businesses that is necessary for a successful operation. Here, artificial intelligence has the right potential to transform your business and helps you in understanding how to manage the changes positively.
Further cyber technology and giving an accurate idea of climate changes are more advantages of artificial intelligence that should be considered by experts.

When it comes to the future scope of jobs in AI, the industry stands on leading position.

As per a recent report from Gartner shows that enterprise applications for AI have grown 270% in four years, fueling a level of demand that outstrips the current supply of qualified job candidates.

This is great news for professionals seeking jobs and related careers in artificial intelligence. The number of industry segments using AI is also expanding to the point where no major enterprise will be untouched by this tech revolution.

Final Words:

In brief, the future of Artificial Intelligence is too large to comprehend but opportunities cannot be denied by the aspirants. AI will open the new door of success for those who invest in the technology.

While job prospects are bright in AI, it's up to individuals to define their career trajectories and acquire the required skills and knowledge. Success depends in part on your personal initiative in learning and gaining the right knowledge. From there, career opportunities are sure to follow.

This brings us to the end of this post. So, this article will surely help you in understanding the future scope of AI and different career perspectives related to the technology, key technical and non-technical AI Engineer skills that you need to master to become an Artificial Intelligence Engineer, and a lot more.

FAQs

Q1. Are AI certifications really necessary to start a career in artificial intelligence?
While not mandatory, AI certifications can significantly boost your chances of getting hired. They validate your skills, demonstrate your commitment to learning, and often provide hands-on experience that employers look for.

Q2. Which is the best AI certification for beginners in 2025?
For beginners, foundational certifications such as JanBask Training’s AI Fundamentals Course, They cover core concepts like machine learning, Python programming, and neural networks.

Q3. What tools and programming languages should I learn in an AI certification course?
Most AI certification programs teach tools and languages such as Python, TensorFlow, Scikit-learn, Keras, Jupyter Notebook, and basic SQL for data handling.

Q4. How long does it take to complete an AI certification?
The duration depends on the program type. Beginner-level courses typically take 6–10 weeks, while advanced certifications may span 3–6 months or more, especially if they include capstone projects and labs.

Q5. Will AI certification alone get me a job?
Certification is an important part of the puzzle but not the only one. To improve your chances, combine your certification with hands-on project work, a strong portfolio, networking, and interview preparation.

Q6. Can I pursue an AI certification without a technical background?
Yes, many beginner-level certifications are designed for non-technical learners. They provide step-by-step learning to help you build foundational knowledge in programming and AI concepts.

Q7. What kind of job roles can I get after completing an AI certification?
Depending on your skill level and background, you can qualify for roles such as AI Engineer, Machine Learning Engineer, Data Scientist, Business Intelligence Analyst, NLP Engineer, or AI Research Assistant.

Q8. Are online AI certifications recognized by employers?
Yes. Certifications from reputed platforms like JanBask Training, Coursera, edX, and Google Cloud are widely accepted by hiring managers and often appear in job descriptions as preferred qualifications.

JanBask Training Team

The JanBask Training Team includes certified professionals and expert writers dedicated to helping learners navigate their career journeys in QA, Cybersecurity, Salesforce, and more. Each article is carefully researched and reviewed to ensure quality and relevance.