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AI+ Developer™

# AT-310

Master AI Development: From Fundamentals to Advanced Tools

The AI+ Developer™ certification provides a comprehensive learning path into core AI development concepts. Designed for aspiring developers, this program covers key areas like Python programming, data processing, deep learning, and algorithm optimization. Participants will gain hands-on experience in Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning, enabling them to solve real-world challenges effectively. The curriculum includes advanced modules on time series analysis, model explainability, and cloud-based deployment strategies. Upon completion, learners will hold the expertise to tackle complex AI system design and deployment, making them industry-ready.

$495.00

What’s included?
One-year subscription (with all updates):

High-Quality Videos and E-Book
AI Mentor for Personalized Guidance
Quizzes, Assessments, and Course Resources
Proctored Exam with One Free Retake
Exam Study Guide
Hands-on labs

Prerequisites

Basic Math Knowledge: High-school-level algebra and statistics are desirable.
Computer Science Fundamentals: Familiarity with variables, functions, loops, and data structures like lists and dictionaries.
Programming Skills: A foundational understanding of coding is recommended.

Exam Details

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%

Tools You'll Master

GitHub Copilot

Lobe

H2O.ai

Snorkel

What Will You Learn?

Python Programming Proficiency

Gain a strong foundation in Python for building AI algorithms, processing data, and creating scalable AI applications.

Cloud Computing in AI Development

Explore cloud-based solutions using AWS, Google Cloud, and Microsoft Azure for deploying scalable AI systems.

Deep Learning Techniques

Master deep learning frameworks for challenges in image recognition, natural language processing, and predictive analytics.

Project Management in AI

Acquire skills to manage AI projects, including planning, resource allocation, and stakeholder communication.

Certification Modules

Course Overview

Course IntroductionPreview

Module 1: Foundations of Artificial Intelligence

1.1 Introduction to AI Preview
1.2 Types of Artificial Intelligence Preview
1.3 Branches of Artificial Intelligence
1.4 Applications and Business Use Cases

Module 2: Mathematical Concepts for AI

2.1 Linear Algebra Preview
2.2 Calculus Preview
2.3 Probability and Statistics Preview
2.4 Discrete Mathematics

Module 3: Python for Developer

3.1 Python Fundamentals Preview
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

Industry Opportunities after Certification Completion

Median Salaries

$77,311

With AI+ Developer™

$125,439

% Difference

AI Application Developer

Build and maintain intelligent AI applications for solving real-world business challenges.

AI System Programmer

Develop software and AI components to enable autonomous decision-making in machines.

AI Machine Learning Developer

Optimize algorithms and models to make data-driven predictions and decisions autonomously.

AI Solutions Architect

Design and integrate AI systems with existing business infrastructure for enhanced functionality.

Trusted Reviews by Our Learners

Vivek Panchal

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

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. 🚀”

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! ✨”

Prayas Chavda

AI Intern | Chairperson of Content Committee at Silver Oak University IEEE Student Branch Chapter | Member Of GDG On

Akash Kumar

Sr Software Engineer | Full Stack & Backend Developer | PHP, Node.js, Python | Microservices | Project Lead

I 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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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.

AI+ Developer™

# AT-310

Prerequisites

Exam Details

Exam Blueprint

Tools You'll Master

What Will You Learn?

Certification Modules

Industry Opportunities after Certification Completion

Trusted Reviews by Our Learners

Vivek Panchal

Vidhik Pareek

Ketankumar Prajapat

Prayas Chavda

Akash Kumar

Recommended Certifications

AI+ Executive™

AI+ Architect™

AI+ Project Manager™

AI+ UX Designer™

AI+ Sales™

AI+ Network™ Examination

AI+ Prompt Engineer Level 2™

AI+ Security Level 1™ Examination

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