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    AnnouncementNew self-paced courses now available — explore our AI Certs-powered certifications and start learning at your own pace.AnnouncementNew self-paced courses now available — explore our AI Certs-powered certifications and start learning at your own pace.AnnouncementNew self-paced courses now available — explore our AI Certs-powered certifications and start learning at your own pace.
    All certifications
    AI CERTs®
    AT-310

    AI+ Developer Practitioner™

    Formerly known as AI+ Developer™ Get hands-on with the tools and technologies that power the AI ecosystem.

    ₹21,999

    Delivered by UpskillNexus, an AI CERTs® Authorized Training Partner.

    AI+ Developer Practitioner™ certification badge

    About this certification

    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

    What's included

    Package

    Instructor-led OR Self-paced course + Official exam + Digital badge

    Duration

    • Instructor-Led: 5 days (live or virtual)
    • Self-Paced: 40 hours of content

     

    Exam format

    50 questions, 70% passing, 90 minutes, online proctored exam

    Prerequisites

    Basic math, computer science fundamentals, fundamental programming skills

    Course modules

    Course Overview

    1. Course IntroductionPreview

    Module 1: Foundations of Artificial Intelligence

    1. 1.1 Introduction to AI Preview
    2. 1.2 Types of Artificial Intelligence Preview
    3. 1.3 Branches of Artificial Intelligence
    4. 1.4 Applications and Business Use Cases

    Module 2: Mathematical Concepts for AI

    1. 2.1 Linear Algebra Preview
    2. 2.2 Calculus Preview
    3. 2.3 Probability and Statistics Preview
    4. 2.4 Discrete Mathematics

    Module 3: Python for Developer

    1. 3.1 Python Fundamentals Preview
    2. 3.2 Python Libraries

    Module 4: Mastering Machine Learning

    1. 4.1 Introduction to Machine Learning
    2. 4.2 Supervised Machine Learning Algorithms
    3. 4.3 Unsupervised Machine Learning Algorithms
    4. 4.4 Model Evaluation and Selection

    Module 5: Deep Learning

    1. 5.1 Neural Networks
    2. 5.2 Improving Model Performance
    3. 5.3 Hands-on: Evaluating and Optimizing AI Models

    Module 6: Computer Vision

    1. 6.1 Image Processing Basics
    2. 6.2 Object Detection
    3. 6.3 Image Segmentation
    4. 6.4 Generative Adversarial Networks (GANs)

    Module 7: Natural Language Processing

    1. 7.1 Text Preprocessing and Representation
    2. 7.2 Text Classification
    3. 7.3 Named Entity Recognition (NER)
    4. 7.4 Question Answering (QA)

    Module 8: Reinforcement Learning

    1. 8.1 Introduction to Reinforcement Learning
    2. 8.2 Q-Learning and Deep Q-Networks (DQNs)
    3. 8.3 Policy Gradient Methods

    Module 9: Cloud Computing in AI Development

    1. 9.1 Cloud Computing for AI
    2. 9.2 Cloud-Based Machine Learning Services

    Module 10: Large Language Models

    1. 10.1 Understanding LLMs
    2. 10.2 Text Generation and Translation
    3. 10.3 Question Answering and Knowledge Extraction

    Module 11: Cutting-Edge AI Research

    1. 11.1 Neuro-Symbolic AI
    2. 11.2 Explainable AI (XAI)
    3. 11.3 Federated Learning
    4. 11.4 Meta-Learning and Few-Shot Learning

    Module 12: AI Communication and Documentation

    1. 12.1 Communicating AI Projects
    2. 12.2 Documenting AI Systems
    3. 12.3 Ethical Considerations

    Optional Module: AI Agents for Developers

    1. 1. Understanding AI Agents
    2. 2. Case Studies
    3. 3. Hands-On Practice with AI Agents

    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.

    Who should enrol

    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.

    Tools you'll work with

    GitHub CopilotGitHub Copilot
    LobeLobe
    H2O.aiH2O.ai
    SnorkelSnorkel
    AI Development
    AI Technical

    Interested in AI+ Developer Practitioner™?

    Tell us a little about yourself and our team will get back to you with pricing, schedule and next steps.