AI+ Developer™
AT-310
Get hands-on with the tools and technologies that power the AI ecosystem.Master the art of AI development with our comprehensive course + exam bundle, equipping you with the skills to create cutting-edge AI solutions and drive innovation.
Certification Duration: 40 hours (5 Days)
Enroll Now Buy Instructor-Led Course
Why This Certification Matters
Master Key AI Development Skills
Learn Python, deep learning, advanced concepts, and optimization techniques to build robust AI solutions.
Specialize in Cutting-Edge AI Domains
Gain expertise in NLP, computer vision, or reinforcement learning, alongside data processing, exploratory analysis, and time series analysis.
Stay Ahead in AI Development
AI is transforming industries, and organizations seek developers with strong proficiency in deploying AI models to solve real-world problems.
Advance Your Career in AI Development
With growing demand across tech, finance, and healthcare sectors, this certification positions you as a leader in AI-driven development.
Prerequisites
- Basic math, including familiarity with high school-level algebra and basic statistics, is desirable.
- Understanding basic programming concepts such as variables, functions, loops, and data structures like lists and dictionaries is essential.
- A fundamental knowledge of programming skills is required.
Modules
12
Examination
1
50 MCQs
90 Minutes
Passing Score
70% (35/50)
Certification Modules
- Introduction to AI, neural networks, and applications across various industries.
- Why it matters: Provides a solid foundation for building advanced AI systems and real-world applications.
- Linear algebra, calculus, probability, and statistics.
- Why it matters: Essential mathematical concepts to understand and optimize AI models effectively.
- Python fundamentals and libraries for AI, such as NumPy, Pandas, and TensorFlow.
- Why it matters: Python is the primary programming language for AI development, and proficiency is key to building AI models.
- Supervised and unsupervised machine learning algorithms, model evaluation, and selection.
- Why it matters: Provides the necessary tools to create intelligent models and make data-driven decisions.
- Neural networks, optimization algorithms, and hands-on experience in improving AI models.
- Why it matters: Deep learning powers much of the modern AI applications, from computer vision to NLP.
- Image processing, object detection, image segmentation, and GANs.
- Why it matters: Equip yourself with the skills to develop AI models for visual data, enabling smarter systems.
- Text preprocessing, classification, named entity recognition, and question answering.
- Why it matters: NLP techniques enable AI systems to understand and process human language, leading to powerful conversational AI.
- Introduction to reinforcement learning, Q-learning, and policy gradient methods.
- Why it matters: Reinforcement learning helps build autonomous systems that learn from experience, with applications in gaming, robotics, and more.
- Cloud-based machine learning services and their integration with AI models.
- Why it matters: Leverage cloud infrastructure for scalable and efficient AI model deployment.
- Understanding and fine-tuning LLMs for various AI tasks.
- Why it matters: LLMs like GPT are revolutionizing fields such as content generation and AI-driven text analysis.
- Explore topics like neuro-symbolic AI, explainable AI (XAI), and federated learning.
- Why it matters: Stay ahead of the curve with the latest AI advancements and research trends.
- Communicating AI projects effectively and documenting AI systems with a focus on ethics.
- Why it matters: Clear communication and proper documentation ensure the successful implementation and ethical application of AI technologies.
Tools
GitHub Copilot
Lobe
H2O.ai
Snorkel
Exam Objectives
Python Programming Proficiency
Students will gain a solid foundation in Python programming, a crucial skill for implementing AI algorithms, processing data, and building AI applications effectively.
Deep Learning Techniques
Learners will master machine learning and deep learning techniques to address challenges in classification, regression, image recognition, and natural language processing.
Cloud Computing in AI Development
Students will get hands-on experience in cloud-based AI application development and learn how to use AWS, Azure, and Google Cloud for scalable AI systems.
Project Management in AI
Participations will master the skills necessary to manage AI projects effectively, from initiation to completion, including planning, resource allocation, risk management, and stakeholder communication.
Career Opportunities Post-Certification
Median Salaries
$77,311
With AI Skills
$125,439
% Difference
62
AI Solutions Architect
Design and implement AI systems that integrate seamlessly with existing infrastructure to address business needs effectively and enhance system capabilities.
AI Application Developer
Build, design, and maintain AI-driven applications that solve real-world problems, integrating AI technologies for enhanced functionality.
AI System Programmers
Develop and maintain AI systems, including programming algorithms and software components that enable intelligent behavior in machines and applications.
AI Machine Learning Developer
Design, implement, and optimize algorithms and models to enable systems to learn from data and make predictions or decisions.
AI Solutions Architect
Design and implement AI systems that integrate seamlessly with existing infrastructure to address business needs effectively and enhance system capabilities.
AI Application Developer
Build, design, and maintain AI-driven applications that solve real-world problems, integrating AI technologies for enhanced functionality.
AI System Programmers
Develop and maintain AI systems, including programming algorithms and software components that enable intelligent behavior in machines and applications.
AI Machine Learning Developer
Design, implement, and optimize algorithms and models to enable systems to learn from data and make predictions or decisions.
AI Solutions Architect
Design and implement AI systems that integrate seamlessly with existing infrastructure to address business needs effectively and enhance system capabilities.
AI Application Developer
Build, design, and maintain AI-driven applications that solve real-world problems, integrating AI technologies for enhanced functionality.
AI Developer Career Advancement – 10X Your Growth
Market Demand for AI Developers
- AI-driven applications are revolutionizing industries, increasing the need for skilled AI developers who can design, train, and deploy intelligent systems.
- Reports indicate that 80% of enterprises are actively seeking AI developers to enhance automation, improve efficiency, and scale AI solutions.
- High-Demand Areas: AI-driven Software Development, Machine Learning Model Deployment, AI-Powered Web & App Development, and AI-Augmented Programming.
- The demand for AI developers exceeds supply, making it a high-impact career move with immense opportunities.
Smart Solutions for AI- Powered Credentials
Secure, tamper-proof certifications with blockchain technology and Al integration. Instant verification and custom designs for your brand.
Al-enhanced proctoring for reliable assessments with automated integrity checks and live monitoring. Powering the future of certifications with Al and blockchain.
AI & Blockchain Experts
Profiles and Credentials
Mark Cates
Stefano Tempesta
Phillip Govinda
Tom Goodheart
Trusted LinkedIn Reviews Posted by Our Learners
Nandish Bhatt
Aspiring AI & Software Engineer | Ex-Intern @ Jio | Java, Python & Machine Learning | Deep Learning, NLP & Neural Networks | Exploring Web Development | CS Fundamentals (GATE CSE) | BTech CSE '26"I'm excited to share that I recently completed the AI+ Prompt Engineer Level 1™ course by AI Certs. I also had the incredible opportunity to attend an engaging in-person event at the Ahmedabad Management Association. The course provided a deep dive into AI prompt design and practical strategies for real-world applications. I’m particularly grateful to Utkarsh Sharma Sir for his insightful guidance and hands-on approach, and to Rohini Shah Ma'am for flawlessly managing the event. Thank you, AI CERTs™, for curating such a transformative learning experience. I look forward to applying these new skills and further exploring the dynamic world of AI."
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Vidhik Pareek
Pursuing --> Python fullStack || Web development || On the path for Generative AI || And many more to go........"
Exciting Milestone Unlocked!
I’m thrilled to share that I have officially earned my AI+ Developer certification from the hashtag#AICerts Team! 
This certification marks an important step in my journey of mastering AI development, covering key concepts in machine learning, deep learning, and AI-powered application development. As a tech enthusiast and student, I’m always eager to explore the intersection of AI .
A huge thank you to the Jigar Gothi Sir and hashtag#AICERTs™ Team for providing this opportunity to deepen my knowledge and sharpen my skills. Learning never stops, and I’m excited to apply these insights to real-world challenges! 
.
A big thank you to Dr. Bharat Kumar Padhi Sir for teaching such a valuable course! Excited to apply these skills in real-world AI projects and continue exploring the limitless possibilities of artificial intelligence. "
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Prayas Chavda
AI Intern | Chairperson of Content Committee at Silver Oak University IEEE Student Branch Chapter | Member Of GDG On campus SOU | MEMBER OF AWS CLOUD CLUB | Ai CERTs Certified AI+ Developer.
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Akash Kumar
Sr Software Engineer | Full Stack & Backend Developer | PHP, Node.js, Python | Microservices | Project LeadI am officially AI+ Developer™ Certified! Equipped to lead in the era of innovation and technology! hashtag#AI hashtag#AICertification hashtag#NetcomLearning hashtag#AICerts
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Get CertifiedFrequently Asked Questions
Upon completion, you'll receive an AI+ Developer™ certification, showcasing your proficiency in AI. You'll have the skills to tackle real-world AI challenges and implement advanced AI solutions in various domains.
While prior AI knowledge is not mandatory, a fundamental understanding of Python programming and basic math and statistics will help you grasp the advanced concepts covered in this course.
Yes, the course includes various hands-on projects and practical exercises to help you apply theoretical concepts to real-world scenarios, reinforcing your learning through practical experience.
You cannot choose a specialization in this course. However, you will be trained in areas such as Natural Language Processing (NLP), computer vision, and reinforcement learning.
Your progress will be evaluated through a combination of quizzes, hands-on exercises, and a final assessment. These evaluations are designed to test your understanding and application of the material.
