AI+ Developer™
AT-310
Get hands-on with the tools and technologies that power the AI ecosystem.- Core AI Foundations: Covers Python, deep learning, data processing, and algorithm design
- Hands-on Projects: Focus on NLP, computer vision, and reinforcement learning
- Advanced Modules: Includes time series, model explainability, and cloud deployment
- Industry-Ready Skills: Prepares learners to design and deploy complex AI systems
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 30 hours of content
Who Should Enroll?
Software Developers: Enhance your coding expertise by mastering AI algorithms and deep learning techniques.
Data Enthusiasts: Apply AI-driven data analysis, machine learning models, and deep learning to solve complex problems.
Computer Vision & NLP Researchers: Dive into specialized AI fields, including computer vision and natural language processing.
IT Specialists & System Architects: Integrate AI solutions into existing systems and optimize performance.
Students & Fresh Graduates: Build a strong foundation in AI development and prepare for future opportunities in tech.
Job Roles & Industry Outlook
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.
Industry Growth: Equipping Developers to Create Intelligent, Scalable Solutions
- he 2024 Stack Overflow Developer Survey indicates that approximately 82% developers are currently using AI tools to write code.” (Statista)
- Designing AI-driven applications to improve system performance and solve real-world problems using advanced programming techniques.
- Leveraging deep learning and optimization techniques to enhance model accuracy and efficiency, leading to smarter AI solutions.
- Specializing in NLP, computer vision, and reinforcement learning to build sophisticated AI models tailored to various industry needs.
- As AI-driven development roles expand rapidly, there is a growing demand for developers with AI expertise, leading to high-paying job opportunities globally.
Skills You’ll Gain
- Python for AI Development
- Advanced Mathematics and Statistics
- Optimization Techniques
- Deep Learning Fundamentals
- Data Processing and Exploratory Analysis
- NLP, Computer Vision, or Reinforcement Learning Specialization
- Time Series Analysis
- Model Explainability and Deployment
What You'll Learn
- Course Introduction
- 1.1 Introduction to AI
- 1.2 Types of Artificial Intelligence
- 1.3 Branches of Artificial Intelligence
- 1.4 Applications and Business Use Cases
- 2.1 Linear Algebra
- 2.2 Calculus
- 2.3 Probability and Statistics
- 2.4 Discrete Mathematics
- 3.1 Python Fundamentals
- 3.2 Python Libraries
- 4.1 Introduction to Machine Learning
- 4.2 Supervised Machine Learning Algorithms
- 4.3 Unsupervised Machine Learning Algorithms
- 4.4 Model Evaluation and Selection
- 5.1 Neural Networks
- 5.2 Improving Model Performance
- 5.3 Hands-on: Evaluating and Optimizing AI Models
- 6.1 Image Processing Basics
- 6.2 Object Detection
- 6.3 Image Segmentation
- 6.4 Generative Adversarial Networks (GANs)
- 7.1 Text Preprocessing and Representation
- 7.2 Text Classification
- 7.3 Named Entity Recognition (NER)
- 7.4 Question Answering (QA)
- 8.1 Introduction to Reinforcement Learning
- 8.2 Q-Learning and Deep Q-Networks (DQNs)
- 8.3 Policy Gradient Methods
- 9.1 Cloud Computing for AI
- 9.2 Cloud-Based Machine Learning Services
- 10.1 Understanding LLMs
- 10.2 Text Generation and Translation
- 10.3 Question Answering and Knowledge Extraction
- 11.1 Neuro-Symbolic AI
- 11.2 Explainable AI (XAI)
- 11.3 Federated Learning
- 11.4 Meta-Learning and Few-Shot Learning
- 12.1 Communicating AI Projects
- 12.2 Documenting AI Systems
- 12.3 Ethical Considerations
- 1. Understanding AI Agents
- 2. Case Studies
- 3. Hands-On Practice with AI Agents
Tools You’ll Master
GitHub Copilot
Lobe
H2O.ai
Snorkel
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.
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via AI proctored exam platform (flexible scheduling)
Exam Blueprint:
- Foundations of Artificial Intelligence (AI) - 5%
- Mathematical Concepts for AI - 5%
- Python for AI Development - 10%
- Mastering Machine Learning - 15%
- Deep Learning - 10%
- Computer Vision - 10%
- Natural Language Processing (NLP) - 15%
- Reinforcement Learning - 5%
- Cloud Computing in AI Development - 10%
- Large Language Models (LLMs) - 5%
- Cutting-Edge AI Research - 5%
- AI Communication and Documentation - 5%
Choose the Format That Fits Your Schedule
What’s Included (One-Year Subscription + All Updates):
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Hands-on Labs
Instructor-Led (Live Virtual/Classroom)
- 5 days of intensive training with live demos
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~30 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
Trusted LinkedIn Reviews Posted by Our Learners
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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Ketankumar Prajapat
SILVER OAK UNIVERSITY"Happy to Share My Achievement! 🎖️ I’m excited to share that I am officially AI+ Developer™ Self-Paced Learning Certified! 📜 This journey has been an incredible learning experience, allowing me to gain in-depth knowledge of Artificial Intelligence, its core concepts, and real-world applications.📚 As part of this certification, a 5-day workshop was conducted at my college, SILVER OAK UNIVERSITY, where I gained hands-on experience and practical knowledge about AI. The sessions were highly interactive, and I truly enjoyed the learning process, gaining valuable insights throughout the program. 💯 A special thanks to Dr. Bharat Kumar Padhi, who explained AI algorithms in a very simple and effective way. His clear and insightful teaching approach made even complex topics easy to grasp, helping me build a strong foundation in AI. I also had the opportunity to interact with the AI CERTs™ team members, including Dr. Bharat Kumar Padhi and Jigar Gothi, and it was an absolute pleasure! Their support and knowledge-sharing made the experience even more valuable. It was truly inspiring to connect with such experienced professionals. 🎓 A big thank you to AI CERTs™ for this well-structured program! Excited to apply these skills to real-world projects and explore new opportunities in AI. This was a wonderful experience, and I’m excited to explore more in the field of AI! ✨"
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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 will 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.
