AI+Developer™
# AC-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
- 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.
Course + Exam Overview
Program Name
AI+ Developer™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration
Instructor-Led: 5 days (live or virtual) Self-Paced: 30 hours of content
Prerequisites
Basic math, computer science fundamentals, fundamental programming skills
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
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.
Available Dates
Job Roles & Industry Outlook
Industry Growth: Enabling Leadership to Drive AI Integration
- 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 Overview
- Course Introduction
Module 1: Foundations of Artificial Intelligence
- 1.1 Introduction to AI
- 1.2 Types of Artificial Intelligence
- 1.3 Branches of Artificial Intelligence
- 1.4 Applications and Business Use Cases
Module 2: Mathematical Concepts for AI
- 2.1 Linear Algebra
- 2.2 Calculus
- 2.3 Probability and Statistics
- 2.4 Discrete Mathematics
Module 3: Python for Developer
- 3.1 Python Fundamentals
- 3.2 Python Libraries
Module 4: Mastering Machine Learning
- 4.1 Introduction to Machine Learning
- 4.2 Supervised Machine Learning Algorithms
- 4.3 Unsupervised Machine Learning Algorithms
- 4.4 Model Evaluation and Selection
Module 5: Deep Learning
- 5.1 Neural Networks
- 5.2 Improving Model Performance
- 5.3 Hands-on: Evaluating and Optimizing AI Models
Module 6: Computer Vision
- 6.1 Image Processing Basics
- 6.2 Object Detection
- 6.3 Image Segmentation
- 6.4 Generative Adversarial Networks (GANs)
Module 7: Natural Language Processing
- 7.1 Text Preprocessing and Representation
- 7.2 Text Classification
- 7.3 Named Entity Recognition (NER)
- 7.4 Question Answering (QA)
Module 8: Reinforcement Learning
- 8.1 Introduction to Reinforcement Learning
- 8.2 Q-Learning and Deep Q-Networks (DQNs)
- 8.3 Policy Gradient Methods
Module 9: Cloud Computing in AI Development
- 9.1 Cloud Computing for AI
- 9.2 Cloud-Based Machine Learning Services
Module 10: Large Language Models
- 10.1 Understanding LLMs
- 10.2 Text Generation and Translation
- 10.3 Question Answering and Knowledge Extraction
Module 11: Cutting-Edge AI Research
- 11.1 Neuro-Symbolic AI
- 11.2 Explainable AI (XAI)
- 11.3 Federated Learning
- 11.4 Meta-Learning and Few-Shot Learning
Module 12: AI Communication and Documentation
- 12.1 Communicating AI Projects
- 12.2 Documenting AI Systems
- 12.3 Ethical Considerations
Optional Module: AI Agents for Developers
- 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 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
"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! 
"
...
I am officially AI+ Developer™ Certified! Equipped to lead in the era of innovation and technology! hashtag#AI hashtag#AICertification hashtag#NetcomLearning hashtag#AICerts
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.
Delighted to announce that I've obtained a certificate from the collaboration between my college and silver oak university. A special thanks to the inspiring teaching staff for their support. Excited for what lies ahead!AI CERTs™ , Dr. Bharat Kumar Padhi , Jigar Gothi hashtag#CareerDevelopment hashtag#Gratitude
Discover Your Ideal Role-Based Certifications and Programs!
Not sure which certifications to go for? Take our quick assessment to discover the perfect role-based certifications and programs tailored just for you.
Frequently Asked Questions
What will I gain from completing this certification?
- 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.
Do I need any prior AI knowledge to join this course?
- 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.
Are there any hands-on projects in the 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.
Can I choose a specialization during the course?
- 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.
How will my progress be evaluated?
- 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.
