Ready to launch your career in one of today's fastest-growing roles? Follow our structured AI Engineer Career Track to master the skills to build and deploy AI solutions—from foundations to advanced AI tools.
The need for skilled professionals is growing fast. Choosing an AI engineer career path is more than just knowing theory; it's about creating real-world solutions using today's most in-demand AI tools.
A high-paying AI engineer job is closer than you think. Our AI training helps you get there—guided by experts who've done it themselves.
Because the best way to become an AI engineer is to learn from one.
Earn your AI Engineer certification through an accredited program proven to deliver results. 100% online.
Becoming an AI engineer requires the right minds to support you along the way. We've created the AI engineer career path that takes you from complete beginner to your dream role—with support, structure, and proven results.
As you move through the AI engineer career path, you’ll follow a curated roadmap:
Our AI engineer training combines foundational concepts with real-world AI tools, such as LangChain, Pinecone, and Streamlit, so you don’t just learn AI—you build it. Industry professionals lead each course in this AI engineer certification path and focus on helping you develop job-ready skills more quickly.
Every stage of the AI engineer bootcamp is designed to feel like progress you can measure.
Early AI engineer courses focus on giving you confidence with code, while later ones challenge you to build chatbots, recommendation systems, and interactive applications that mirror real industry use cases.
You’ll also work on portfolio-ready projects—essential for standing out in a competitive job market. Along the way, our mentorship and peer community give you space to ask questions, share code, and learn from others on the same AI engineer roadmap.
But we know that an AI engineer’s growth is not just about learning—it’s about proving you’re ready.
And once you pass the exam, you earn an AI engineer certification, which is always yours to share.
Ultimately, our team of experts prioritizes getting you to the finish line with a future-proof career to match.
Begin your AI engineer career path with this fundamentals course. Learn AI concepts and gain a clear understanding of how modern AI models power real-world applications.
See detailsBuild your coding foundation with Python—a must-have skill for any AI engineer certification. Start programming and prep for hands-on machine learning training.
See detailsClean and transform data like a certified AI engineer. Learn the essential preprocessing steps to ensure your AI tools deliver accurate and reliable results.
See detailsUnderstand natural language processing and learn AI techniques that enable machines to understand human language—a key step in your AI engineer training.
See detailsLearn transformer models and large language models (LLMs). This is a crucial step in an AI engineer’s roadmap that incorporates cutting-edge generative AI.
See detailsGain cutting-edge AI skills: Master the LangChain framework to build and deploy real-world AI applications
See detailsWork with vector databases to optimize AI solutions. Understand key tools for your AI engineer career path and master semantic search.
See detailsApply AI tools to build an interview simulator. Strengthen your AI engineer job readiness with hands-on practice in real-world development.
See detailsPlease select an elective course to finish your career track and unlock the final exam to receive your certificate of achievement.
See detailsPlease select an elective course to finish your career track and unlock the final exam to receive your certificate of achievement.
See details
Worked with:
Worked with:
Worked with:
Begin your AI engineer career path with this fundamentals course. Learn AI concepts and gain a clear understanding of how modern AI models power real-world applications.
See detailsBuild your coding foundation with Python—a must-have skill for any AI engineer certification. Start programming and prep for hands-on machine learning training.
See detailsClean and transform data like a certified AI engineer. Learn the essential preprocessing steps to ensure your AI tools deliver accurate and reliable results.
See detailsUnderstand natural language processing and learn AI techniques that enable machines to understand human language—a key step in your AI engineer training.
See detailsLearn transformer models and large language models (LLMs). This is a crucial step in an AI engineer’s roadmap that incorporates cutting-edge generative AI.
See detailsGain cutting-edge AI skills: Master the LangChain framework to build and deploy real-world AI applications
See detailsWork with vector databases to optimize AI solutions. Understand key tools for your AI engineer career path and master semantic search.
See detailsApply AI tools to build an interview simulator. Strengthen your AI engineer job readiness with hands-on practice in real-world development.
See detailsPlease select an elective course to finish your career track and unlock the final exam to receive your certificate of achievement.
See detailsPlease select an elective course to finish your career track and unlock the final exam to receive your certificate of achievement.
See details
An AI engineer career track with REAL AI
projects
We award accredited
AI Engineer certification
You pass a final exam to earn an accredited AI engineer certification—recognized by respected industry bodies as proof that your skills meet high professional standards.
Where our AI engineer
career path takes you
"365 Data Science was absolutely essential in getting me where I am today. The curriculum provided a strong foundation across data analysis, data science, machine learning, and deep learning. The instructors were knowledgeable and supportive, and the community was always willing to help. Earning certificates not only strengthened my LinkedIn profile but also gave me a competitive edge in interviews. I could confidently showcase my skills, which secured my new role. 365 Data Science gave me the momentum to keep learning and ultimately land my current position as an AI Engineer. The hands-on projects made all the difference in my career transition."
I like the 365 Data Science platform, courses are well organized, practical, and detailed. I work as both a Data Analyst and an AI Project Manager simultaneously. 365 Data Science training played a crucial role in advancing my data analyst skills, as I began my self-training with 365 before even joining a Data Science Fellowship. On the job these days, juggling between AI project management and data analysis, I regularly come back to learn new areas of skills demanded on the job, such as the Power BI, Web Scraping, Power Query trainings, etc.
365 Data Science was the first one that brought me online to pursue a career in AI and data science. I believe my career would see more growth due to the quality mentors the 365 team has. Also, I love the quality of projects; I think they do make a difference. It's the best place to learn for beginners. It helped me become more confident with coding and solving problems overall. I think every problem-solving is new, and every tiny bit of knowledge helps you add perspective to solving it. So yes, I'd say that 365 Data Science mentors have contributed to building my confidence and helping me apply my skills at work."
I found 365 Data Science to be an invaluable resource for refreshing my skills. The platform offers a comprehensive range of courses, including Python, Machine Learning, and SQL, which are essential for anyone looking to excel in analytics and data visualization.
The courses are well-structured, perfect for busy professionals like me. I particularly appreciated how they helped me brush up on fundamentals while also introducing more advanced concepts. The hands-on approach to learning ETL processes and data visualization techniques has directly benefited my work in building pipelines and creating insightful analyses.
How to become an AI engineer—roadmap
A background in computer science, engineering, or related technical fields is the most common starting point for becoming an AI engineer. Our research shows that AI engineer job postings list engineering degrees (69%), computer science (61%), and machine learning (42%) as the most frequently listed educational backgrounds.
But there’s a way to break into AI with no technical background.
We noticed that 25% of job listings don’t mention a degree level at all. Companies care about what you can do more than where you learned it. This means that with the right mix of theory, practical projects, and AI engineer certification, anyone can pursue a career in AI engineering without a specialized AI engineer degree. 365’s AI engineer bootcamp does just that—it’s online, beginner-friendly, and has no enrollment prerequisites. Enroll to take the first step today.
AI engineers need deep technical skills—and a way to prove them. Python is the most requested programming language (71%) followed by Java (22%) and SQL (17%). Core competencies include machine learning, NLP, model fine-tuning, and frameworks like PyTorch and TensorFlow. Knowledge of cloud platforms like AWS (33%) and Azure (26%) is now just as essential as understanding LLMs or neural networks.
Though they may sound complex, these skills are learnable online. Fast.
Portfolios matter more than resumes. Focus on building real-world AI projects that show your ability to create chat systems, implement RAG pipelines, or work with tools like LangChain, Whisper, and Hugging Face. Companies are hiring domain experts—people who can solve targeted, high-impact problems. That’s why hands-on projects are at the heart of our AI Engineer Career Track. Change careers with the right first step now
Your branding signals your readiness to employers before you even say a word to them. Certifications from trusted platforms give you credibility. A professional resume and cover letter tailored to AI engineering roles are essential—as are GitHub links and a clear project portfolio.
CPE credits add a layer of trust that hiring managers need.
Use our resume builder and cover letter template to showcase your certificates, skills, and achievements. LinkedIn profiles that include verified and accredited AI certification (like our AI engineer career track) often appear higher in recruiter searches. With our CPE-accredited courses—which we’ve included in the AI engineer roadmap—you can add a layer of trust that hiring managers need. Enroll now
The AI engineer job market is booming, but roles are competitive. Only 2.5% of jobs are entry-level. You need to show you can do the job before you get hired. So, start by doing what most candidates won’t: use AI mock interviews like ours to prepare for real-world questions. Learn how to talk like a certified AI engineer—even before you become one. Our experts also advise subscribing to job insider newsletters for a chance to spot hidden roles and hiring trends.
The average salary in 2025 is $206K, up $50K from last year.
With the right mentorship, you can break into AI and data science in no time. And remember—this isn’t a solo journey. The support from our mentors and a tight-knit community keeps you on track until the offer letter arrives, so you’ll never feel like you’re doing it alone. Follow an AI engineer career path.
AI engineer salary CALCULATOR
You’re excited by intelligent systems and how they can solve real problems at scale. That’s the mindset of an AI engineer. Entry-level AI engineers earn around $119,000, and it’s one of the fastest-growing roles in the world of tech today.
But is this AI engineer career path a good fit for someone with your background? You’re not the only one asking that.
Our free career quiz helps you discover where you’re most likely to thrive. It takes less than 5 minutes and might change how you see your future.
Take career quiz
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Can’t find what you're looking for? Visit the 365 Data Science Help Center or Contact us
The AI engineer career path typically involves:
365 Data Science offers an AI engineer career path that covers all these steps—offering structured learning paths, hands-on projects, and expert guidance to help you master each component of the AI engineering journey.
An AI engineer career path is a gratifying career, featuring:
To future-proof your career, start by preparing for the right job. 365 Data Science has a custom AI engineer career path that could be your first step toward becoming a certified AI engineer.
What AI role pays up to $900,000 a year? Netflix has recently offered up to $900,000 for an AI-focused product manager. This is a strong indication of where the job market is headed—upskilling or reskilling is becoming a must. In practice, some senior-level AI roles (e.g., Director of AI, Principal AI Scientist, or Chief AI Officer) can command salaries close to or above $900,000 annually. These positions typically require a deep understanding of AI systems, strong leadership skills, and experience building enterprise-grade solutions. Following 365 Data Science’s AI engineer career path and earning an AI engineer certification can help you progress toward these elite roles.
The career path in artificial intelligence often begins with foundational roles, such as data analyst or ML engineer, followed by an AI engineer job. It can lead to specialized positions such as AI researcher or AI architect. Choosing the right AI engineer training program can help accelerate your path. 365 Data Science has built an excellent AI engineer career track that includes real-world projects and expert instruction designed to help you grow into these roles confidently.
The best AI engineer certification depends on your goals, but a program that combines theory, hands-on learning, and recognized credentials stands out. The AI engineer career track by 365 Data Science offers a certification that focuses on deep learning, neural networks, and machine learning. It provides everything you need to start and grow your AI engineer career path confidently.
Many people are curious about how to become an AI engineer. In essence, the path involves:
365 Data Science has curated a beginner-friendly AI engineer career path, offering a clear, practical roadmap for how to become an AI engineer—even if you're starting from scratch.
Yes, an AI engineer certification can significantly boost your career by validating your skills and helping you stand out in a competitive market. It proves your ability to work with machine learning models, neural networks, and AI systems. 365 Data Science’s AI engineer career track offers a rigorous certificate that can fast-track your entry into the AI engineering job market.
An AI engineer certification might lead to highly competitive salaries, with averages ranging from $120,000 to over $200,000 annually, depending on experience and location. Certifications enhance credibility, often leading to more desirable roles and higher compensation. The AI engineer certification offered by 365 Data Science prepares you for these high-paying opportunities by giving you in-demand skills and hands-on experience.
To land an AI engineer job, you need to:
365 Data Science offers an excellent AI engineer career track that guides you through each of these steps, providing you with the practical tools and credentials to succeed.
Many ask how to become an AI engineer without a degree. It’s possible with the proper guidance and mentorship. Key steps include:
365 Data Science knows how to enable beginners to break into the field with a comprehensive AI engineer career path program. No AI engineering degree is required to enroll in their AI training. It is designed for learners without prior experience, offering everything you need to grow professionally.
An AI engineer’s job involves building, testing, and deploying artificial intelligence models and systems. Their work includes developing machine learning algorithms, integrating AI into applications, and optimizing neural networks. 365 Data Science is the top choice for an AI engineer certification program that helps you gain these skills and guides your AI engineer career path from foundational knowledge to real-world execution.
To begin your AI engineer career path, you'll need:
There’s a way to break into the field without prior experience. 365 Data Science offers a beginner-friendly AI engineer career path program that covers machine learning and neural network certification programs—providing you with the credentials you need to excel in AI.
The journey to becoming an AI engineer varies depending on your background and dedication. It includes:
365 Data Science’s AI engineer training program can take you from beginner to AI engineer in one to two years. Contact the enrollment team to schedule a free career consultation and explore your potential in AI, including an assessment to determine if you're a good fit for 365's AI engineer career path.
Wondering how to become an AI engineer and where the role can take you? An AI engineer’s job can advance through several career stages:
There’s a way to make this career move easy for you. 365 Data Science offers a beginner-friendly AI engineer career path training that equips you with advanced skills and practical experience to accelerate your AI engineer job growth.
The demand for an AI engineer job is exceptionally high. With an estimated 97 million new AI-related jobs projected by 2025, the field presents unprecedented opportunities for skilled professionals. Companies across sectors actively recruit professionals with AI engineer certification and machine learning expertise. This trend is expected to continue as AI technology becomes increasingly prevalent in business operations. Now is the perfect time to learn AI from scratch.
365 Data Science helps busy professionals prepare to launch their career in under one year with a tailored AI engineer career path program.
Becoming an AI engineer requires strong technical skills, dedication to continuous learning, and experience with machine learning frameworks. The difficulty level varies depending on your background; those with experience in programming and mathematics may find it easier to adapt. But with consistent effort and a well-defined AI engineer roadmap, it's an achievable goal for those committed to the field. 365 Data Science’s structured AI engineer courses and AI engineer certification make this journey more manageable by providing a comprehensive curriculum, hands-on projects, and expert guidance throughout the learning process.
