Artificial Intelligence Training and Certification Course

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Join the cohortGet instant access (self-paced)
Artificial Intelligence Training and Certification Course

Course Features

100% Money back guarantee
  • Real-time Use cases

  • 24/7 Lifetime Support

  • Certification Based Curriculum

  • Flexible Schedules

  • One-on-one doubt clearing

  • Career path guidance

About Artificial Intelligence Course

Mindmajix Artificial Intelligence Course is a comprehensive skill and application-oriented training program required for developing business models for data analytics. This Artificial Intelligence course will help you learn different aspects of AI like Data Science, Deep Learning, Python Programming, Python Libraries for Artificial Intelligence, etc. During this Artificial Intelligence training, you will get exposure to advanced concepts like TensorFlow, Deep Neural Networks, R Programming, SAS Advanced Analytics, and AWS through real-time projects. Through this Artificial Intelligence Online Course Training, you will master all the Programming skills and concepts that are required to outperform in this domain and start your career in Artificial Intelligence.

Artificial Intelligence Course
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Course Coverage

Course Eligibility | Artificial Intelligence Course Training

Who Should Attend Artificial Intelligence Course Training

No coding or maths background required to start. Whether you're a fresh graduate or moving into tech from a non-IT role, MindMajix offers a structured path to learn Artificial Intelligence — from Python fundamentals to machine learning, deep learning, and MLOps.

Choose your profile view
For Freshers & Career Switchers
New to AI? You can start with zero coding experience.
Who is this for
Fresh GraduatesStudentsCareer SwitchersNon-IT ProfessionalsAspiring Data AnalystsAI & Machine Learning Enthusiasts
Prerequisites - What You Need
  • Basic computer literacy — Python notebooks run in-browser via Jupyter or Google Colab, so no high-end machine is needed
  • School-level maths — algebra, basic probability and statistics, used in regression, PCA/LDA, and model evaluation
  • Logical aptitude and willingness to code daily — Python is taught from scratch in Module 2 (Python Essentials to Exception Handling)
  • No prior AI, ML, or programming experience needed — graduates from any discipline can enrol
For Working Professionals
Already in tech? Add production AI and MLOps to your stack.
Who is this for
Software DevelopersData Analysts & BI ProfessionalsData EngineersQA & Automation EngineersCloud & DevOps EngineersSolution Architects & Tech Leads
Helpful Background (Not Mandatory)
  • Programming experience in any language helps — Python itself is re-taught from basics in Module 2, so it is not a hard prerequisite
  • Statistics and linear-algebra fundamentals — probability, distributions, and matrix basics are applied directly in regression, PCA, and LDA
  • SQL and data-handling basics — useful for sourcing and cleaning training data before Pandas feature engineering
  • Cloud fundamentals (AWS, Azure, or Google Cloud) — needed for the MLOps module, and every current AI certification is cloud-platform based
  • Git, command line, and basic Docker — helpful for model deployment and pipelines; no prior AI or machine learning background is required

Your Course Journey - From Enrolment to Career Readiness

What to Expect from Your Artificial Intelligence Training

A step-by-step path from Python and machine-learning fundamentals to job-ready across deep learning, NLP and MLOps, for various roles in AI.

Stage 1

Enrol & Get Set Up

Pick live online or self-paced, activate your 1-year LMS access, and set up your Python, Jupyter/Colab, scikit-learn and TensorFlow environment so you can practise from day one.

  • Live or self-paced
  • 1-year LMS access
  • Agile & Scrum add-on
Stage 2

Learn & Build Real Skills

Master AI end to end across 40 hours - Python and its data libraries, regression, classification, clustering, NLP, deep learning with ANNs and CNNs, PCA/LDA, MLOps and Tableau - applied in hands-on labs and real-time projects with one dedicated trainer.

  • Instructor-led + labs
  • 1-on-1 doubt clearing
  • Recording access
Stage 3

Earn Your Certificate

Clear the assessments for your shareable MindMajix completion certificate - a training credential, not a vendor exam. The vendor-neutral Python, ML and deep-learning grounding also supports separate cloud AI certifications from Microsoft, AWS and Google Cloud, whose exam codes are refreshed often, so check the vendor's official exam page before you book.

  • MindMajix certificate
  • Practice questions
  • Cert-path guidance
Stage 4

Polish Your Profile

Turn skills into a profile recruiters notice - build an interview-ready resume and a strong LinkedIn presence using proven AI and machine-learning resume templates, with your course projects written up as evidence.

  • Resume building
  • LinkedIn optimisation
  • Resume templates
Stage 5

Practice Interviews

Walk in already rehearsed. Sit structured mock-interview rounds with experienced SMEs and get focused feedback on model selection, evaluation metrics, neural-network design, NLP and model-deployment scenarios.

  • Real-time Scenarios
  • Personalised feedback
  • Artificial Intelligence Course mock interviews
  • AI mock interviews
Stage 6

Land Your Role

Apply with confidence using job-search assistance and referrals to hiring partners across various industries. (Career support provided; placement not guaranteed.)

  • Job-search assistance
  • Hiring-partner referrals
  • Role guidance
AI EngineerMachine Learning EngineerData ScientistAI Data Analyst

Start the journey today - choose the format that fits you.

Artificial Intelligence Course Content

Industry experts designed this Artificial Intelligence course content to provide comprehensive knowledge of all the essentials of Artificial Intelligence. Our curriculum covers all the advanced artificial intelligence concepts and updates you regarding the Artificial Intelligence Domain’s latest trends. Study the following course curriculum and enhance your artificial intelligence skills

15Modules
38Topics
Open any module to view the full topic list.
  1. 01Introduction to Data Science, AI&ML

    Detailed topics for this module will be shared in the latest syllabus.

  2. 02Python for Artificial Intelligence10 topics
    • Python Essentials
    • Python Environment Setup
    • Python Data Types
    • Python Looping and Control Statements
    • Python Conditional Statements
    • Python Functions
    • Python Modules
    • Python Module, Package, Library , Framework
    • Python Files
    • Python Exception Handling
  3. 03Python Libraries for Artificial Intelligence5 topics
    • Numpy
    • Scipy
    • Pandas
    • MatPlotlib
    • Seaborn
  4. 04Linear Regression4 topics
    • Multiple Linear Regression
    • Polynomial Regression
    • Assumptions of Linear Regression
    • Model Selection
  5. 05Classification8 topics
    • Logistic Regression
    • KNN Classification
    • Support Vector Machine
    • Kernel SVM
    • Naive Bayes
    • Decision Tree
    • Random Forest Classification
    • Classifier Evaluation Metrics
  6. 06Clustering3 topics
    • K-Means Clustering
    • Hierarchical Clustering
    • Quality Of Clustering
  7. 07Association Rule Learning2 topics
    • Apriori
    • Eclat
  8. 08Natural Language Processing

    Detailed topics for this module will be shared in the latest syllabus.

  9. 09Deep Learning

    Detailed topics for this module will be shared in the latest syllabus.

  10. 10Artificial Neural Networks

    Detailed topics for this module will be shared in the latest syllabus.

  11. 11Convolutional Neural Networks

    Detailed topics for this module will be shared in the latest syllabus.

  12. 12PCA (Principal Component Analysis)

    Detailed topics for this module will be shared in the latest syllabus.

  13. 13LDA (Linear Discriminant Analysis)

    Detailed topics for this module will be shared in the latest syllabus.

  14. 14MLOps (Machine Learning Operations)

    Detailed topics for this module will be shared in the latest syllabus.

  15. 15Tableau6 topics
    • Introduction to Data Visualisation
    • Tableau Architecture
    • Working with Data Blending
    • Creation of Sets
    • Calculations, Expression, and Parameters.
    • Dashboards, Stories, and Filters

Hands-on AI Projects

Our Artificial Intelligence Course course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.

  1. Project 1: Sentiment Analysis for Product Reviews

  2. Project 2: Image Recognition with Convolutional Neural Networks (CNN)

  3. Project 3: AI-powered Chatbot

logoTraining Options

Choose how you learn best

Both options cover the full curriculum and include most of the certification topics

Most flexible

Self-paced

40 hrs

Learn anytime, at your own pace — complete the course in weeks or months.

What you get
  • 40 hours of Artificial Intelligence Course videos
  • Curated and delivered by SME
  • Hands-On Lab sessions
  • Resources/materials
  • Sample Resumes
  • Get one year access to the LMS
  • Community forum support
  • Free Agile & Scrum add-on course
Not included
  • Live instructor & Q&A sessions
  • 1-on-1 doubt clearing calls
  • Mock interview & resume review

20% Off

$160

$200

Get Full Access

Most Popular

Live online (instructor-led)

40 hrs

Real-time classes with a certified expert — ask questions, get instant feedback, and walk away job-ready

Everything in self-paced, plus
  • Live Zoom/Meet sessions with instructor
  • 1-on-1 doubt clearing sessions
  • Live project walkthroughs
  • certification guidance
  • Mock interviews with SME panel
  • Resume & LinkedIn profile review
  • Job referral to hiring partners
  • Session recordings to rewatch anytime
  • Agile & Scrum add-on course free
Next batch starts
Aug29
Aug 29 - Sep 13Next batchET (US)

07:00 PM ET · Weekend · Limited seats available

20% Off

$430

$538

Artificial Intelligence Course Schedule

40 hrs · Live online · Recordings included

Weekend (Sat-Sun)

Aug 29 - Sep 13

3 weekends · 40 hrs total

Time07:00 PM ET
ModeLive online

Zoom / Google Meet

Weekday (Mon-Fri)

Sep 01 - Sep 16

2 weeks · 40 hrs total

Time07:00 PM ET
ModeLive online

Zoom / Google Meet

i

Need a different time? We offer and at any timezone. Contact a course advisor to set one up.

For Corporates

Empower your team with new skills to Enhance their performance and productivity.

Corporate Training

  • Customized course curriculum as per your team's specific needs
  • Training delivery through self-Paced videos, live Instructor-led training through online, on-premise at Mindmajix or your office facility
  • Resources such as slides, demos, exercises, and answer keys included
  • Complete guidance on obtaining certification
  • Complete practical demonstration and discussions on industry use cases
Learn MoreContact us

Served 130+ Corporates

Corporate Clients

Artificial Intelligence Course Instructor

Learn from the certified and real time working professionals.

instructor

Training by

Abhishek , having 7+ yrs of experience

Specialized in:
Data ScienceAI & Machine LearningPython

His passion for teaching made Abhishek share the industrial experience he has got for future generations. He has a total of three years in the real-time industrial background and has trained over 520+ students.

Honest Comparison

MindMajix Artificial Intelligence Course Training vs Other Institutes

We believe in transparency. Here's how MindMajix stacks up against typical Artificial Intelligence Course Training providers so you can compare value, support, and practical depth clearly.

Our CourseMindMajix

Artificial Intelligence Course Training

learners311 learners
Other Institutes

Generic Artificial Intelligence Course Training Providers

Curriculum

Course Content

MindMajix

15 modules spanning Python, ML algorithms, NLP, deep learning (ANN/CNN), PCA/LDA, MLOps and Tableau - the full data-to-deployment pipeline.

Full AI pipeline
Other Institutes

Often stop at Python basics and a few regression demos, skipping deep learning, MLOps and how models actually reach production.

Frequently outdated
Curriculum

Hands-On Lab Access

MindMajix

Three guided real-time projects - sentiment analysis, CNN image recognition and an AI chatbot - built end to end. Dedicated sandbox is an optional add-on.

Guided projects included
Other Institutes

Slide-led sessions with copy-paste notebooks; learners configure their own Colab or GPU setup with no guided debugging support.

Limited / paid extra
Instructor

Trainer Credentials

MindMajix

Led by a practising Data Science and AI/ML professional with 7+ years of industry experience who has already trained 520+ learners.

Verified practitioner
Other Institutes

Instructor quality swings batch to batch, often generalist trainers without real model-building or deployment experience.

Varies widely
Instructor

Trainer Continuity

MindMajix

One dedicated trainer runs the full 40-hour batch, so Python, machine learning and deep learning modules build on a single consistent teaching style.

Consistent trainer
Other Institutes

Different specialists are swapped in per module, breaking notation, coding conventions and continuity mid-course.

Frequent changes
Support

Doubt Clearing

MindMajix

One-on-one sessions to debug real model failures - overfitting, weak accuracy, data leakage and tensor shape mismatches - continuing after class ends.

Extended 1-on-1 support
Other Institutes

Questions are taken only inside the live session, with no structured channel for model debugging once the batch closes.

No post-training help
Placement

Job Assistance

MindMajix

Resume and LinkedIn reviews, portfolio guidance and hiring-partner referrals across India and the USA. Career support only - placement is not guaranteed.

Active placement support
Other Institutes

Placement is often advertised as guaranteed, then delivered as a generic mailing list of openings with no portfolio review.

Mostly nominal
Placement

Mock Interviews

MindMajix

Structured mock rounds with SME panels covering algorithm trade-offs, evaluation metrics, deep learning architectures and applied case scenarios.

Included
Other Institutes

Learners prepare alone, with no panel practice on algorithm reasoning or defending model choices to an interviewer.

Not included
Schedule

Batch Flexibility

MindMajix

Weekday and weekend batches published in both IST and ET, plus a self-paced track - switch formats or pause without penalty.

Fully flexible
Other Institutes

A single fixed schedule, usually IST-only, pushing USA-based learners into awkward timings or a missed batch.

Limited options
Certification

Exam Preparation

MindMajix

No single official AI exam exists. You earn a MindMajix completion certificate plus the Python, ML and deep learning base that vendor AI exams assume.

Transparent certification guidance
Other Institutes

Often sold as an 'official AI certification' that does not exist, or as prep for retired exams such as Microsoft AI-102 and AWS MLS-C01.

Outdated mock tests
Value

Price Range

MindMajix

Rs 11,200 self-paced or Rs 27,940 live online at the current 20% discount, covering labs, projects, recordings and a free Agile & Scrum add-on.

Best value for inclusions
Other Institutes

Low headline fees that climb once GPU credits, cloud sandbox time, study material or certification support are billed separately.

Hidden add-on costs
Value

Recording Access

MindMajix

Every live session is recorded, with one full year of LMS access to recordings and materials, renewable afterwards at a discounted rate.

1-year access, renewable
Other Institutes

Portal access often expires within weeks of the final session, and recordings are rarely refreshed when frameworks change.

Time-limited access

Artificial Intelligence Course FAQs

Can a fresher or non-IT graduate learn Artificial Intelligence?

Yes. This AI course starts with Python from the ground up (Module 2 begins at Python Essentials), then builds through NumPy, Pandas, machine learning algorithms, and deep learning. Graduates from any discipline can enrol — a computer-science degree is not mandatory. What matters most is consistent hands-on practice and a portfolio of real projects.

Do I need programming experience to start this AI course?

No. Python is taught in-course from the basics — data types, loops, functions, modules, file handling, and exception handling — before any machine learning begins. Prior coding experience in any language shortens the ramp-up, but it is not a prerequisite for enrolment.

What maths do I need for an AI course?

Comfort with school-level algebra, basic probability, and descriptive statistics (mean, variance, distributions) is enough to begin. These fundamentals are applied directly in linear and logistic regression, classifier evaluation metrics, and dimensionality reduction techniques such as PCA and LDA. Advanced calculus and research-level maths are not required for applied AI engineering roles.

Which AI certification should a fresher target first?

Start with a foundational, no-coding credential such as Microsoft Azure AI Fundamentals (exam AI-901, which replaced the retired AI-900 on 30 June 2026) or the AWS Certified AI Practitioner (AIF-C01). Both have no formal prerequisites and cover AI, machine learning, generative AI, and responsible AI concepts. Note that the Google TensorFlow Developer Certificate has been closed since 2024 and is no longer available.

What are the prerequisites for working professionals to join this AI course?

There is no mandatory AI or machine learning background. Python is re-taught from basics in Module 2, so it is not a hard prerequisite either. What genuinely accelerates you is statistics and linear-algebra fundamentals, SQL and data-handling basics, cloud familiarity with AWS, Azure or Google Cloud for the MLOps module, and comfort with Git and the command line for deployment work.

I'm a software developer or data analyst — will my skills transfer to AI?

Directly. Developers reuse their programming discipline, testing habits, and API experience when building and serving models. Data analysts and BI professionals already have the SQL, data-cleaning, and statistical intuition that feature engineering and model evaluation depend on. Cloud and DevOps engineers transfer their CI/CD, containerisation, and monitoring skills straight into MLOps.

Which AI certification should a working professional target in 2026?

The credible options are cloud-platform based. On Azure, target AI-103 (Microsoft Certified: Azure AI Apps and Agents Developer Associate) or AI-300 (MLOps Engineer Associate). On AWS, target the AWS Certified Machine Learning Engineer – Associate. On Google Cloud, the Professional Machine Learning Engineer is the senior benchmark, with 3+ years of industry experience recommended. Choose the one matching your employer's cloud stack.

Which AI certifications retired recently — what should I avoid preparing for?

Several long-standing credentials retired in 2026. Microsoft retired AI-102 (Azure AI Engineer Associate) and AI-900 on 30 June 2026, and DP-100 (Azure Data Scientist Associate) on 1 June 2026, replacing them with AI-103, AI-901, and AI-300. AWS retired the Machine Learning – Specialty (MLS-C01) on 31 March 2026 in favour of the ML Engineer – Associate. Google's TensorFlow Developer Certificate has been closed since 2024. Existing credentials stay valid until they expire, but these exams can no longer be taken.

How long does it take an experienced professional to become job-ready in AI?

With the 40-hour MindMajix programme plus steady hands-on practice, most working professionals reach portfolio-ready competence in roughly 3–4 months, and associate-level certification readiness in around 8–12 weeks depending on cloud familiarity. Deployed projects carry more weight with hiring managers than the certificate alone.

What skills will you learn in this Artificial Intelligence Training?

Mindmajix Artificial Intelligence course content is designed based on industry requirements. During this training, Our industry experts will deliver the following skills:  

  • Basic Knowledge of Data Science
  • Acquire a practical understanding of Machine Learning and Artificial Intelligence.
  • Master Python Basics
  • In-depth understanding of Python Libraries
  • Extensive Knowledge of Data Analytics
  • Hands-on Knowledge of Keras and Tensorflow Frameworks.
  • Real-time experience in Advanced Data Analytics and Deep Learning Concepts.
     

Who should take up this Artificial Intelligence Training?

Any Software engineer with fundamental understanding in Python and Data Analytics can easily join this Artificial Intelligence course. This Training is advisable for Business Intelligence professionals and SAS Developers to Shift their career to one of the best IT Careers. Anyone who aspires for a career in Data Science can also join this training.
 

What are the prerequisites to take this course?

  Prior knowledge of Python programming, Statistics and Data Analytics is required to take this training.
 

What is the Artificial Intelligence market trend and job opportunities?

Artificial Intelligence Technology is an essential element in industries like Healthcare, Automotive, Retail, Finance, Healthcare, etc. The Market share of Artificial Intelligence is expected to increase at a growth rate of 42.2% from 2020 to 2027. The Job opportunities for Artificial Intelligence professionals have increased because of its demand in different industries. According to the IDC report, AI is expected to generate more than 8lakhs jobs by 2021.
 

What is the scope of Artificial Intelligence in future?

Artificial Intelligence is one of the rapidly growing sectors in the IT Sector. The Artificial Intelligence sector’s scope has extended into various sectors like Transport, Finance, CyberSecurity and Healthcare. As a result of this growth, various industries need the proficiency of Certified AI Professionals. So, Artificial Intelligence Certification will provide you with an edge over other IT professionals.
 

What are the Job roles offered to Artificial Intelligence Professionals?

 Following are the Job roles offered to Artificial Intelligence Professionals:

  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Artificial Intelligence Data Analyst
  • Big Data Engineer
  • Business Intelligence Developer
  • Data Scientist
  • Research Analyst
TESTIMONIALS
What Learners say about Mindmajix
Quote

I came across Mindmajix while I...

(5/5)

I came across Mindmajix while I was searching for Artificial Intelligence courses. Their coordinators and Instructors responded positively and I was able to get a good conceptual overview of the AI. Like any other technical course, more hands-on practice is definitely required further, but Mindmajix helped me gain some valuable knowledge about AI & related tools. Thank you Mindmajix..!

Raghavendra Paripati

Raghavendra Paripati

Vice President CoE at Nous Infosystems

Quote

Great learning platform for Artificial Intelligence...

(5/5)

Great learning platform for Artificial Intelligence online, Mindmajix was the best institute i have ever seen. Training cost also affordable, thanks for providing material and recorded videos. I thank Trainer and Mindmajix Team for the great support, Trainer is so passionate about training.

Susanth dondapati

Susanth dondapati

ERP Professional, ERP Application Manager

Quote

I had taken Artificial Intelligence Online Training...

(5/5)

I had taken Artificial Intelligence Online Training from Mindmajix. It’s a great experience and I’m happy for what I have learned. The trainer has a strong command over the subject and made sessions interesting. Thanks for the entire Mindmajix team.

Vijayalakshmi

Vijayalakshmi

Senior Project Manager at Cognizant

Career Roadmap

Your Path to Becoming an Artificial Intelligence Expert

Five progressive stages from Python and data foundations to enterprise AI architect, with typical India (LPA) and USA (USD) salary ranges for 2026. AI is a vendor-neutral field — there is no single official "AI certification". Optional cloud credentials validate the skills: AWS Certified AI Practitioner (AIF-C01) and AWS Certified Machine Learning Engineer – Associate (MLA-C01). Verify before booking: AWS retired ML – Specialty (MLS-C01) on 31 March 2026, and Microsoft retired AI-900, AI-102 and DP-100 by 30 June 2026. Stages 4 and 5 are experience-based milestones, not exams.

01
Beginner
STAGE 1 · BEGINNER

Python & Data Foundations for AI

Build the base every AI role needs: Python essentials, NumPy, Pandas, Matplotlib and Seaborn, plus statistics, data cleaning and Tableau visualisation. No prior AI or coding background required — this is where the MindMajix curriculum begins.

Rs. Rs. 4–7 LPA entry-level
$70k–95k /year
Python EssentialsNumPy & PandasMatplotlib & SeabornStatistics for MLData Cleaning & EDATableau Visualisation
02
ML Engineer
STAGE 2 · ML ENGINEER

Machine Learning Engineer (Core ML)

Train and evaluate real models: linear and polynomial regression, logistic regression, KNN, SVM, Naive Bayes, decision trees and random forests, K-means and hierarchical clustering, plus Apriori association rules. Optionally validated by AWS Certified AI Practitioner (AIF-C01) — foundational level, no prerequisites, 700/1000 to pass.

Rs. Rs. 6–12 LPA
$90k–120k /year
Regression & Model SelectionLogistic Regression & KNNSVM & Naive BayesDecision Trees & Random ForestClustering & Association RulesClassifier Evaluation Metrics
03
Deep Learning
STAGE 3 · DEEP LEARNING / NLP

Deep Learning & NLP Engineer

Move beyond classical ML into neural networks. Build ANNs and CNNs with TensorFlow and Keras, apply NLP to real text, and use PCA and LDA for dimensionality reduction. AWS Certified Machine Learning Engineer – Associate (MLA-C01) is the current AWS route here, replacing the retired ML – Specialty exam.

Rs. Rs. 12–20 LPA
$105k–140k /year
Artificial Neural NetworksConvolutional Neural NetworksTensorFlow & KerasNatural Language ProcessingPCA & LDAHyperparameter Tuning
04
Senior Engineer
STAGE 4 · SENIOR ENGINEER / MLOPS

Senior AI/ML Engineer (MLOps & GenAI)

Take models to production. Own MLOps end to end — CI/CD for ML, containerised serving, feature stores, monitoring and drift detection — and extend into generative AI, RAG and LLM deployment. Mainly an experience-based step; AWS Certified Generative AI Developer – Professional (AIP-C01) is the optional credential.

Rs. Rs. 20–35 LPA
$140k–175k /year
MLOps PipelinesCI/CD for MLModel Serving & ContainersMonitoring & Drift DetectionGenerative AI & RAGCloud ML Platforms
05
Architect
STAGE 5 · ARCHITECT / EXPERT

AI Architect / Head of AI

Own enterprise AI strategy: multi-model and multi-agent architecture, data platform design, responsible-AI governance, security and cost control. No AI architect exam exists — an experience-based milestone typically reached after 8+ years across data, ML and cloud engineering.

Rs. Rs. 35–55 LPA + lead roles
$160k–200k+ /year
Enterprise AI ArchitectureAI Governance & Responsible AIData Platform DesignMulti-Agent & LLM SystemsCost & Scale ModellingSolution Leadership

Outcome: an honest path from Python beginner to enterprise AI architect. Because AI has no single official exam, this roadmap is role-based — MindMajix's 40-hour curriculum (Python, machine learning, deep learning, NLP, MLOps and Tableau) builds the vendor-neutral skills, and optional cloud credentials validate them. Certification status verified August 2026: AWS retired Machine Learning – Specialty on 31 March 2026 and now points candidates to AI Practitioner, ML Engineer – Associate and the new Generative AI Developer – Professional (AWS announcement, AIF-C01 exam page); Microsoft retired AI-102 / Azure AI Engineer Associate on 30 June 2026, with AI-901, AI-103 and AI-300 successors in beta (Microsoft Learn notice). Salary sources (2026): ZipRecruiter – AI Engineer (USA), ZipRecruiter – ML Engineer (USA), ZipRecruiter – AI Architect (USA), Payscale – Senior ML Engineer (USA), Payscale – ML Engineer (India), Payscale – Entry-Level ML Engineer (India), Payscale – Mid-Career ML Engineer (India).

logoOn-Job Support Service

Online Work Support for your on-job roles.

jobservice
@Learner@SME

Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs:

  • Pay Per Hour
  • Pay Per Week
  • Monthly
Learn MoreContact us
Teams across the globe run on MindMajix
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