Accelerate your career with the globally recognized BrainStation Artificial Intelligence Certification (AIC™), through hands-on experience in live courses taught by Artificial Intelligence leaders from global tech companies.
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Gain essential Artificial Intelligence skills with hands-on instruction from industry leaders working at the best global tech companies like Amazon, Meta, and Microsoft.
Prompt engineering is the key to unlocking the power and value of large language models. Get hands-on with a variety of AI tools to learn, apply, and master how to write great prompts. Dive deeper into AI and build a strong foundational knowledge of key technologies powering AI, the importance of data in AI, and more.
OpenAI
Google
Microsoft
Adobe
Key Skills:
AI Foundations
Data Fundamentals for AI
Ethics, Governance, & AI
Hands-On Prompt Engineering
Start by understanding what makes a great prompt. Learn tips and tricks on how to work best with AI tools, and explore introductory prompt engineering concepts enabling you to get more out of your inputs.
AI Foundations
Learning how AI works helps you stay ahead of changing technologies. A clear understanding of AI fundamentals helps set you apart and gives you a stronger baseline. Build a competitive edge, equipping yourself to lead conversations, ask sharper questions, and consider important data, ethical, and governance considerations.
Unit 2
Advanced Prompt Engineering & Generative AI
Build on your knowledge with advanced prompt engineering techniques. You'll learn how to create more effective prompts that handle more complex tasks and questions. Practice working with leading AI tools and models, developing your skills and capabilities to produce functional prompts and meaningful outputs with generative AI.
ChatGPT
Perplexity
Cohere
Key Skills:
Advanced Prompt Engineering
Prompt & Model Output Evaluation
Advanced Prompt Engineering Techniques
Explore and practice advanced prompt engineering techniques to get the most out of AI tools. You will learn and apply a number of techniques and combine them to improve the quality of your outputs, and practice your new skills with interactive workshops set in the context of real business problems.
Prompt & Generative AI Output Evaluation
Different AI models have their own advantages. Get exposure to leading AI tools and practice applying your new prompt engineering skills and techniques to figure out which tools work best for your use cases and requirements. Learn and apply frameworks on how to evaluate prompts and outputs to work more effectively with generative AI.
Unit 3
Applied AI: Workflows, Agentic AI & Custom GPTs
Learn and use advanced AI capabilities to make real-world outputs. Start by learning about AI workflows and agentic AI, what differentiates them, and where these capabilities are best used. Apply your new knowledge to develop content, creative, and project plans. Learn how to use custom GPTs to increase your efficiency and create tailored, meaningful AI outputs.
ChatGPT
DALL·E
Claude
Cohere
Canva
make
Adobe
Key Skills:
Creating AI Workflows
AI Content Workflows
AI Creative Workflows
Custom GPTs
Retrieval Augmented Generation (RAG)
Content & Creative Workflows with Generative AI
Put your prompt engineering skills into action by using multiple AI tools across workflows to generate real-world outputs and business deliverables. You will practice developing content and creative in the context of a real business problem.
Agentic AI & Custom GPTs
Build on your knowledge of AI workflows by learning how and when to appropriately use agentic AI. Dive deeper into understanding how GPTs (Generative Pre-trained Transformers) work and create your own custom GPT to better support your use cases.
Earn Your Artificial Intelligence Certification (AIC™)
Successfully completing BrainStation's Artificial Intelligence Certification course will earn you the globally recognized BrainStation Artificial Intelligence Certification (AIC™), demonstrating your mastery of the latest cutting-edge skills and tools. Add this credential to your LinkedIn profile and resume or CV.
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Your Next Step Towards Artificial Intelligence Certification
View the Artificial Intelligence Course Package to Learn More.
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With a BrainStation certification, you'll join our global alumni network: a community of accomplished professionals across a range of critical tech skills, including Artificial Intelligence.
BrainStation's globally recognized certifications are created by industry professionals, for industry professionals. Our network of experts from leading tech companies provide insights and guidance to ensure each certification demonstrates the latest cutting-edge skills and tools.
Location
Learn in the Center of NYC
Located in the heart of the tech & retail district of SoHo Manhattan, BrainStation is at the center of New York's cultural and tech scene, surrounded by the best tech companies in NYC. In addition to courses, BrainStation New York offers training sessions, industry events, expert panel discussions, and more.
What is the Artificial Intelligence Certification (AIC™)?
The Artificial Intelligence Certification (AIC™) at BrainStation is a leading professional certification that verifies your completion of the course. Upon course completion, graduates receive the certificate and become a BrainStation-Certified AI Practitioner. A BrainStation certification can boost your LinkedIn profile and resume, helping you stand out in the job market when applying for tech roles. BrainStation has been a global leader in digital skills training since its inception in 2011 and has trained over 30,000 professionals around the world.
Is my professional background a good match for the course?
While in-depth, all of BrainStation's certification courses are designed to be compatible with individuals from various professional backgrounds. The Artificial Intelligence Certification course is considered beginner-friendly and is open to anyone looking to add a new skillset, or enhance their existing skills.
What are the prerequisites for enrolling in an Artificial Intelligence Certification course?
BrainStation's Artificial Intelligence course was created for those who are new to Generative AI but are interested in adding it to their personal and professional toolkit. The course is designed for individuals looking to build new or enhance existing skills. It is considered to be beginner-friendly and requires no prior experience for admission.
Who are the instructors?
BrainStation's Artificial Intelligence instructors are seasoned leaders who actively work in roles at top companies like Amazon, Meta, and Microsoft. They bring real-world experience from working on digital products used by millions, offering real-world examples and unique insights.
What are the classes like?
BrainStation's Artificial Intelligence Certification classes are immersive and hands-on right from day one. You'll work on real-world projects, use industry-standard tools, participate in group exercises, and develop portfolio content that showcases your skills. Throughout the sessions, you'll build a strong foundation in AI concepts and frameworks, and by the end, you'll have practical experience and the confidence to continue your journey with a new skillset.
How many students are in each class?
We prioritize creating an engaging and tailored learning experience by keeping our class sizes small enough to ensure that everyone receives focused support from the instructor, but large enough that learners have the opportunity to build valuable connections and benefit from the unique perspectives of professionals from diverse industries.
Is the course online or in-person?
Both! You can take BrainStation's Artificial Intelligence Certification course in person at one of our campuses or in an online live format. Whether online or in-person, you will be participating in a live, interactive classroom environment taught by a leading AI expert.
Students in our online Artificial Intelligence courses stay in touch with each other and instructors alike through BrainStation's industry-leading student learning platform, as well as a lively Slack community that provides support and updates even beyond graduation. There are several dates and times to offer flexibility for remote learning, and the course is designed to fit around professional schedules. Check out the course kick-off schedule here.
How long is the course, and what is the schedule?
BrainStation's Artificial Intelligence course is typically 5 weeks long, depending on the delivery format — currently offered in either 5 classes. In either case, the course adds up to a total of 15 hours of training, case studies, projects, lectures, and more. Our course schedule is designed to give you ultimate flexibility with delivery format, days of the week, and length. Check out the course kick-off schedule here.
How does an Artificial Intelligence Certification compare to a Degree or Master's program?
A certification provides targeted learning and immediate recognition of specific skills, making it ideal for professionals looking to quickly validate their expertise and stand out in the job market. Unlike a degree or Master's program, which takes longer and covers a wider range of topics, certifications are streamlined and practical, allowing you to apply new skills directly to your role. This makes certifications a great option for those looking to advance their careers efficiently without the time and financial investment of a traditional degree.
What payment options do you offer?
BrainStation offers some of the most competitive payment options for Artificial Intelligence training. Payment options include:
Scholarship discount programs
Partial scholarships are available to help with tuition and are subject to eligibility. about these options.
Monthly payment installments
Split your tuition into smaller amounts and pay in installments over 3, 6, or 12 months.
Employer sponsorship
Many learners can have their tuition reimbursed by their employer through established Learning & Development budgets or on an ad-hoc basis.
Can I speak to someone about the course before I start?
Definitely! Our team of learning advisors is here to answer any questions you have. Simply at a time that is convenient for you — we look forward to speaking with you soon!
Artificial Intelligence 101
What is Artificial Intelligence?
Artificial Intelligence (AI) is a field of computer science focused on creating systems capable of performing tasks that typically require human intelligence, like learning and decision-making. It includes techniques like machine learning, natural language processing, and computer vision. Getting certified in AI through artificial intelligence courses can give you a solid foundation and credibility in this rapidly growing field.
What is Generative AI?
Generative AI is a subset of AI and machine learning that involves models capable of generating new content, such as text, images, or music, from existing data. It powers applications like chatbots, content creation tools, and synthetic media. Certification in AI and machine learning can help you understand these technologies and enhance your AI skills in this innovative area.
What can Generative AI help with?
Generative AI assists in various areas, from creating realistic images and text to automating code generation and enhancing customer support. It's widely used in creative industries, healthcare, and big data applications within software development. An AI certification course can help you learn how to apply generative AI techniques effectively in practical applications and real-world scenarios.
What is prompt engineering?
Prompt engineering is the process of crafting precise inputs (prompts) to guide AI and machine learning models in generating accurate and relevant outputs. It's an essential skill for optimizing generative AI tools like GPT and machine learning algorithms. Training and certification courses can enhance your prompt engineering skills, making your AI applications more effective and adaptable.
Will an AI certification help my career path?
Yes, an AI and machine learning certification can be highly beneficial as it demonstrates your expertise and commitment to staying current in the field. Many potential employers view certifications as a reliable indicator of specialized knowledge. Pursuing artificial intelligence courses can help you build foundational AI skills and stand out in a competitive job market.
What are the most in-demand Artificial Intelligence jobs?
In-demand AI jobs include AI/ML Engineer, Data Scientist, AI Research Scientist, and AI Product Manager, among others. These roles require a solid understanding of machine learning algorithms, data science, and big data tools. An AI certification can prepare you for these high-demand career opportunities, opening up exciting paths across various industries.
What kind of tools do Artificial Intelligence Analysts use?
AI Analysts commonly use tools like Python programming, TensorFlow, Keras, and data analysis tools to analyze and interpret big data effectively. They also leverage cloud platforms for processing large datasets, which is integral to data science. Familiarity with these tools can be a crucial part of an AI certification, equipping you with hands-on skills and AI skills that are highly valued by employers.
Is Artificial Intelligence hard to learn?
AI can be challenging due to its technical nature, involving statistics, algorithms, and programming. However, with structured AI and machine learning paths, it's accessible to beginners. A certification program can guide you step-by-step through complex concepts, making it easier to grasp foundational AI skills.
Is Artificial Intelligence a good career?
Yes, AI is an excellent career choice due to its high demand, competitive salaries, and career opportunities for innovation. It's a dynamic field that continues to evolve, offering roles across industries like data science and computer vision. Certification through artificial intelligence courses can help you enter and grow in this promising industry with a strong foundation.
How can AI certification help my career?
AI and machine learning certification can solidify your knowledge, showcase your skills to employers, and open doors to specialized roles. It provides structured learning in essential areas like machine learning, data analysis, and python programming. Pursuing certification signals commitment and can significantly boost your career prospects in AI and machine learning.
What are the basic skills needed to start a career in AI?
Basic skills in python programming, understanding of mathematics, and familiarity with data analysis are foundational to AI and machine learning. A certification program can guide you through these essentials, making your entry into AI smoother and more structured. Building these skills early will set you up for success as you advance in your learning journey.
How does machine learning differ from AI?
Machine learning is a subset of AI focused specifically on algorithms that enable systems to learn and make predictions from data. AI is broader, encompassing techniques beyond machine learning algorithms. Certification programs can clarify these distinctions and help you master both fields, enhancing your AI skills.
What programming languages should I learn for AI?
Python programming is a primary language for AI, but familiarity with others like R and Java can be helpful. Python's libraries, like TensorFlow and scikit-learn, make it powerful for AI and machine learning applications. Many certifications focus on Python as a foundation, preparing you for diverse roles in AI and machine learning.
What is the role of data in AI, and how do I get experience with it?
Big data is the core of AI, providing the foundation for training and improving models in AI and machine learning. Working with datasets or taking certification courses that include exploratory data analysis is a great start. Practical data experience, through projects or certifications, builds your understanding of AI's data-driven approach and aids in making data driven decisions.
How do neural networks work in AI?
Artificial neural networks are structures of interconnected nodes inspired by the human brain, used for recognizing patterns and making predictions. They're foundational in deep learning and complex AI applications. Learning artificial neural networks in certification courses provides hands-on experience with this essential AI component.
What are some practical projects to start learning AI?
Projects like image recognition, sentiment analysis, or creating a chatbot can introduce you to AI and machine learning. These projects apply theoretical knowledge to practical applications in real-world scenarios, building valuable skills. Certification programs often include such hands-on projects, allowing you to immediately apply what you learn.
What is natural language processing (NLP), and where is it used?
Natural language processing (NLP) is a field within AI focused on enabling computers to understand and interact with human language. It's widely used in chatbots, translation services, and sentiment analysis tools. Certification programs often cover natural language processing basics, making it easier to grasp and use this valuable AI and machine learning skill.
Are there entry-level roles in AI, and what do they entail?
Yes, entry-level roles like AI Analyst, Junior Data Scientist, or Machine Learning Technician provide foundational experience. These positions involve data preparation, model training, and data analysis, among other tasks. An AI and machine learning certification can qualify you for such roles, giving you a strong start.
What are some practical applications of machine learning in business?
In business, AI and machine learning can optimize data driven decisions and help automate repetitive tasks. It's also applied in predictive analysis, recommendation systems, and personalized marketing. Machine learning algorithms allow companies to create practical applications that directly impact customer experiences.
What is transfer learning, and how is it used in AI?
Transfer learning is a method where a model developed for one task is reused as a starting point for another, making it efficient in AI and machine learning. It's often used in natural language processing and computer vision tasks where data availability is limited. Certification can introduce you to this emerging technology and expand your adaptability in AI.
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Professional Certification
Artificial Intelligence Certification
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