What is our certification development process?

Our certification development process involves rigorous industry analysis, curriculum design by subject matter experts, pilot testing, and continuous updates based on feedback and emerging trends to ensure relevance and effectiveness.

Can I get an AI certification if I don’t have a technical background?

Yes, you can get an AI certification without a technical background. We offer programs designed for individuals with non-technical as well as technical backgrounds, individuals, making AI knowledge accessible to everyone.

What kind of support is available during the course?

We offer extensive support for learners, including access to expert educators, business coaches, and advisors. Additionally, learners benefit from detailed guidance through certifications tailored for AI and blockchain specializations, ensuring comprehensive learning and professional development.

How are the exams conducted?

Exams are conducted online and are designed to validate the candidate's knowledge in AI and Blockchain domains. Exams include multiple-choice questions, case studies, and practical exercises, ensuring a comprehensive assessment of skills.

Are these certifications globally recognized?

Yes, Certifications are globally recognized. They are designed by the industry and subject matter experts and offer comprehensive knowledge on AI and blockchain specializations, covering the industry demands.

Are there any group discounts or corporate training options available?

For group discounts or corporate training, you can reach us at +91 636 447 9991 | 2 | 3 for detailed information.

What are the benefits of role-based certifications?

Role-based certifications provide targeted skills and knowledge, enhancing job performance and career advancement. They demonstrate expertise in specific areas, increase employability, and often lead to higher salaries and better job opportunities. We offer specialized role-based certifications in AI and blockchain, tailored for professionals seeking to advance their careers in these fields with in-demand programs.

Who is involved in the certification development process?

The certification development process involves a team of experts, including educators from leading universities, business coaches, AI subject matter experts, certification strategists, and senior directors of learning and development

How up to date is the course content?

The course content is designed to be up-to-date, reflecting the latest advancements and best practices in AI and blockchain technologies. The certifications offered are continuously updated to ensure relevance in the rapidly evolving tech landscape.

Unlocking AI-Powered Role-Based Program

AI+ Developer

Globally Recognized Certification: Accepted in over 120 countries

No Technical Barriers: No programming Skills

Flexible Learning Formats

Proctored Online Exams

One-Year free Subscription for upgrading skill

Lead Life with AI

Imagine walking into your office and realizing Al can do 40% of your repetitive tasks for you. How would that change your work?

Al is revolutionizing business, healthcare, marketing, finance, and more. Workforces that integrate Al skills see up to a 40% increase in productivity.

In today's rapidly evolving digital landscape, understanding and leveraging Artificial Intelligence (AI) is no longer optional—it's essential.

Al is expected to contribute $15.7 trillion to the global economy by 2030.

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

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The Power of AI Certification

In today's fast-changing world, Al is reshaping industries, jobs, and career paths.

Al isn't just the future-It's your competitive advantage.

Explore Advantages of Role-Based Certification Over General AI Certification

General Al Certifications

Role-Based AI Certifications

Feature

Focus

Broad Al knowledge

Job-specific Al skills

Industry Relevance

Theoretical concepts

Al training directly applicable to your profession

Career Growth

Limited real-world use

Al expertise that makes you indispensable

Scalability

Designed for individuals

Scalable for teams. & organizations

Key Takeaways of Our Programs

Understand the business and outcomes that can be achieved with AI

Practical Knowledge

Ethical & Responsible AI tracks

Flexible learning formats

Access to high video lessons, assessments, quizzes and upgrades for 1 year after programs

Join a community of like minded professionals who are successfully exploring AI in their organizations

Industry Growth: Equipping Developers to Create Intelligent, Scalable Solutions

The 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.

Program at a glance:

Program Name:

Delivery Method:

Duration:

Exam Format:

Included:

Outcome:

AI+ Developer

Self-Paced | Virtual Instructor Led

10- Half a Day [ 4 hours each ] of Intensive Training with Live Demos

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

Projects & Case Studies

Industry-recognized credential + hands-on experience

Who is this program for ?

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.

What You'll 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 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

Module 13 : AI Agents for Developers

1. Understanding AI Agents

2. Case Studies

3. Hands-On Practice with AI Agents

Skills You'll Gain

Python for AI Development

Optimization Techniques

Deep Learning Fundamentals

Time Series Analysis

Advanced Mathematics and Statistics

NLP, Computer Vision, or Reinforcement Learning Specialization

Data Processing and Exploratory Analysis

Model Explainability and Deployment

Tools You’ll Master

GitHub Copilot

Lobe

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.

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

40 hours of on-demand video lessons, e-book, and podcasts

Real-time Q&A and peer collaboration

Led by AI Certified Trainers

Live Instructor Led Sessions

10 Day [ 4 Hours Each ] of intensive training with live demos

Self-Paced Online

40 hours of on-demand video lessons, e-book, and podcasts

Learn anywhere, anytime, with modular quizzes to track progress

Can be enrolled independently

Interested to know more details

Earn a Shareable Certificate

Add to LinkedIn under "Licenses & Certifications"
Showcase your expertise to potential employers and professional connections.
Download a Verified Certificate - Blockchain
Your certificate is secured on the blockchain for tamper-proof authenticity and can be downloaded as a high-quality PDF for personal records or professional sharing.
Share on social media
Celebrate your accomplishment with your network on all social platforms.

Note: The certificate visuals shown are for reference only and may be updated at AI Certs discretion.

Participants who successfully complete the program will receive a verified digital certificate issued by AI Certs. The program follows a pass/fail grading system, requiring a minimum score of 70% to qualify for certification.

Certificates will be delivered via email using the name provided during registration.

Principal Consultant

Certified AI Trainer | Technology Strategist | Innovation Leader | Industry Advisor

Thrivikram Naganna is a Certified AI Trainer with over 25 years of experience at the forefront of technology & innovation across Cybersecurity, Data Analytics & Artificial Intelligence. With a proven track record in product architecture, cloud transformation, DevSecOps & Engineering Excellence (CoE), he has led large-scale initiatives at leading technology firms like EMC, RSA & Sophos, driving both technical excellence and business value.

Key Career Highlights:

Architect of XDB, an AI/NLP powered analytics platform that delivers actionable business insights and insights into engineering efficiency
Architect of Advanced Cybersecurity Solutions, including SASE and RSA SecurID for multi-factor authentication
Architect of Next-Gen Continuous Delivery Pipeline leveraging microservices and container orchestration for Agile software delivery
Designed & Developed, Xtreme Deploy, a multi-cloud deployment platform, resulting in significant cost savings and operational efficiency, (Winner of global innovation award at EMC/RSA)
Architect of Secure Development Lifecycle (SDLC) practices at RSA

Educational Background:

Postgraduate Program in Cloud Computing – Caltech University
Master’s Program in Artificial Intelligence – Simplilearn
B.E in Computer Science Engineering – University of Mysore

Thrivikram’s people & process leadership expertise spans Agile methodologies, CMMI Level 5 practices, and cross-functional leadership. His strong foundation in Computer Science Engineering is complemented by advanced certifications in Artificial Intelligence and Cloud Computing.

Training Approach:

Thrivikram brings a rare combination of deep technical knowledge and hands-on experience to his training sessions. He excels at simplifying complex concepts and translating them into practical, real-world applications. His engaging, results-oriented teaching style equips learners and organizations to harness the power of AI and emerging technologies effectively and confidently.

What Our Learners Say:

Marc H

Co-Founder

“Happy to share I've completed the AI+ Executive Certification from AI CERTs! This program has sharpened my skills in strategic AI application + implementation, further equipping me to lead AI-driven organizational transformation.."

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Lead Life Learning, India is in collaboration with AI Certs, New York to offer a portfolio of high impact AI & Blockchain programs. AI Certs is an authorized body to conduct examination and provide globally recognized certificates through its expert accreditation body.