- Exciting news for job seekers! The fast-approaching age of AI and automation will result in the creation of 97 million new jobs by 2025
- 61.99% of Nigerians are unemployed or underemployed
You want a soft life? AI can unlock your dreams.
“The world of tomorrow belongs to those who can process information, see relationship and trends and be agile to change as the world changes” —MJ Demarco.
Let me tell you the story of Femi Wellington, an underpaid graduate. He is feeling stuck and unfulfilled in his current job. Gets frustrated at his unsuccessful attempt to get a lucrative job. Like most people, he dreams of finding financial security, making a difference in the world and leaving a positive legacy behind.
Femi dreams are yet to be fulfilled as he barely have control of his time. His pay is not enough to cater for his basic needs let alone fund his dreams of travelling around the world. He feels he’s not making enough impact in his current job.
Femi Wellington, though he’s a fictional character portrays the situation of most people.
Research has shown that 33.30% of Nigerians are unemployed while 28.7% are underemployed giving a total percentage rate of 61.99% of Nigerians that are unemployed or underemployed.
Professionals with experience in AI are more needed than ever because it is a technology that is becoming more and more common.
What is Artificial Intelligence(AI)?
Artificial intelligence is the ability of a digital computer or computer controlled robot to perform tasks commonly associated with intelligent beings. It can be described as a type of technology that allows computers and machines to think and act like human. It uses algorithms(computer programs) and data to learn, analyze and make decisions and be used to automate tasks, provide insights and optimize proceses.
AI’s Behaviour
AI systems demonstrate at least some of the following behaviours associated with human intelligence:
- Planning,
- Learning,
- Reasoning,
- Problem-solving,
- Knowledge presentation,
- Perception,
- Motion
- Manipulation
- and to a lesser extent Social intelligence
- and Creativity.
AI Applications include:
- Advanced web search engines such as Google search
- Recommendation systems used by YouTube, Amazon, and Netflix
- Understanding human speech such as Alexa and Siri
- Self-driving cars such as Waymo/Tesla
- Automated decision-making and competing at the highest level in strategic game systems such as chess and Go
- Targeted advertising such as AdSense, Facebook
- Automatic language translation such as Microsoft Translator and Google Translate
- Spam filtering and chatbots such as ChatGPT
AI Application in Finance
Applications such as Intuit Mint and TurboTax Max both help users manage their personal finances by providing tools to track spending, create budgets, monitor investments and more. These services also offer access to helpful resources and tips to help users make informed decisions about their financial future.
Types of AI
AI can be split into two broad types:
- Narrow Artificial Intelligence
- General Artificial Intelligence
Narrow AI is a focused AI. Narrow AI is designed for specific tasks and cannot perform tasks other than the ones specified to it. It’s an intelligent systems that have been taught or have learned how to carry out specific tasks without explicitly programmed how to do so.
This type of machine intelligence evident in the speech and language recognition, vision recognition or in the recommendation engines.
General AI is very different and is the type of adaptable intellect found in humans, a flexible form of intelligence capable of learning how to carry out vastly different tasks, anything from building spreadsheets or reasoning about a wide variety of topics based on its accumulated experience. This sort of AI is commonly seen in movies.
Career Prospects in Artificial Intelligence
AI has rapidly grown in recent years and is expected to continue to grow as technology advances. As a result, there are many career prospects in AI, including roles in AI research, data science, machine learning, natural language processing, computer vision, robotics, and more.
Business Intelligence Developer
Business intelligence (BI) developers work with large data sets to identify trends and insights that can inform business decisions. AI is used in BI to automate the process of data analysis and generate insights in real-time. BI developers use AI-powered tools to gather, integrate, and analyze data from different sources to generate reports, dashboards, and visualizations that help organizations make data-driven decisions. For example, AI can be used to analyze customer data to identify trends and predict future demand for a product. The median annual salary for a BI developer is $92,278.
Software Engineers
Software engineers are responsible for designing, developing, and maintaining software systems that are used to power AI applications. AI relies on sophisticated algorithms and models that require a high level of expertise in software development. Software engineers working in AI build the infrastructure and tools that enable AI applications to function. They also create and manage APIs that enable different components of an AI system to communicate with each other. The median annual salary for a software engineer is $87,403.
AI Engineer
AI engineers are responsible for designing, building, and deploying AI models and systems. They use machine learning and deep learning algorithms to create models that can analyze data and make predictions. AI engineers also work closely with product managers and stakeholders to understand business requirements and ensure that AI models are aligned with organizational goals. They may also be responsible for testing and validating AI models to ensure that they are accurate and reliable. The median annual salary for an AI engineer is $118,573.
Machine Learning Engineer
Machine learning (ML) engineers are responsible for designing and building ML models that can analyze large data sets, identify patterns and make predictions. They work with data scientists to identify the right algorithms and techniques to use, and then develop and deploy ML models that can operate at scale. ML engineers also work on automating the process of model training and deployment, and may be responsible for managing and optimizing the infrastructure required to support ML applications. The median annual salary for a machine learning engineer is $146,085.
Big Data Engineer
Big data engineers are responsible for designing and building the infrastructure required to manage and analyze large data sets. They work with data scientists and other stakeholders to ensure that data is collected, stored, and processed in a way that enables efficient analysis and decision-making. Big data engineers may also be responsible for developing and deploying data pipelines, managing data security and privacy, and ensuring that data is compliant with relevant regulations. The median annual salary for a big data engineer is $151,307.
Research Scientist
Research scientists are experts in computational statistics, machine learning, and deep learning. They work on developing new algorithms, models, and techniques that can be used to solve complex problems in AI. They collaborate with other researchers and stakeholders to identify research questions, design experiments, and interpret results. Research scientists may also be responsible for publishing research papers, presenting findings at conferences, and contributing to the development of open-source software projects. The median annual salary for a research scientist is $99,809.
Data Analytics
Data analytics involves using statistical and machine learning techniques to analyze and make sense of large amounts of data. AI is used in data analytics to automate the process of data exploration, data cleaning, and data modeling. AI algorithms can identify patterns and relationships in data that might be difficult for humans to spot. This helps organizations make data-driven decisions based on insights gleaned from the data. For example, AI can be used to analyze customer purchase history and predict which products they are likely to buy in the future. The median annual salary for a data analyst is $65,000.
User Experience
User experience (UX) professionals work to design digital products and services that are easy to use, visually appealing, and meet the needs of users. AI is used in UX to analyze user behavior and provide insights into how users interact with digital products. This information can be used to make informed design decisions that improve the user experience. For example, AI can be used to analyze user data to identify common pain points in a website’s navigation and recommend changes to improve the user experience. The median annual salary for a UX designer is $76,950.
Natural Language Processing Specialist
Natural language processing (NLP) is a subfield of AI that focuses on enabling computers to understand and interact with human language. AI is used in NLP to build chatbots and virtual assistants that can converse with humans in a natural language. NLP algorithms use machine learning techniques to identify patterns in human language and generate responses that are appropriate and helpful. For example, AI-powered chatbots can be used to provide customer support and answer frequently asked questions. The median annual salary for an NLP specialist is $108,609.
Prompt Engineer
A prompt engineer is a relatively new role in the field of artificial intelligence, specifically in the development of large language models. Prompt engineers are responsible for designing and crafting prompts that guide large language models (LLMs) to generate complex behaviors and accurate outputs.
Prompt engineers work closely with data scientists and other AI experts to understand the behavior and capabilities of LLMs, and then develop prompts that can elicit specific responses from these models. They use their understanding of natural language processing (NLP) and machine learning to design prompts that are effective and efficient. Prompt engineers may also be responsible for testing and validating their prompts, and for monitoring the performance of LLMs over time.
Since this is a relatively new and specialized role, the salary for prompt engineers can be quite high. According to some reports, the salary for a prompt engineer can range from $250,000 to $335,000 per year, depending on experience and location.
Attention aspiring AI professionals! Learn how to craft effective prompts for large language models with our prompt engineer course. Increase your earning potential and stay ahead of the curve in the rapidly growing field of AI. Act now and sign up for our comprehensive prompt engineer course today!
Conclusion: Reasons you should pursue a career in AI
AI aids human capabilities and helps us to make more advanced decisions. It offers a wide range of career opportunities that are needed presently and in the future. AI include the potential for high salaries, the ability to solve complex problems, and the potential to make a lasting impact on the world.
“The world of tomorrow belongs to those who can process information, see relationship and trends and be agile to change as the world changes”—MJ Demarco.
Act now and sign up for our comprehensive prompt engineer course today!